Cloudera Data Platform Jobs in Usa

9,399 positions found — Page 16

Junior data analyst/Machine learning engineer
Salary not disclosed
Oakland 3 days ago
CS/IT Graduates or About to be Grads.

Get Hired by taking action.

If you just graduated (or you're about to) and the job search is already feeling confusing, you're not imagining it.

A degree proves you can learn—but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one.

That's why many new grads send hundreds of applications and still hear nothing back.

It's not because you're "not smart enough.” It's because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready.

We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI—full-time opportunities aligned to client needs.

Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML.

SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI—so you don't graduate with scattered skills, you graduate with an employable stack.

SynergisticIT since 2010, has helped candidates land full-time roles at major organizations (examples often cited include Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Wayfair, Client, Client, and more) with offers commonly in the $95k–$154k range depending on role and skill depth.

For a new grad, the bigger message isn't the number—it's that results require a structured pathway, not random applications.

Here's a realistic way to think about your advantage as a fresh graduate: you're early enough to build the right foundation before bad habits set in.

If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of "entry-level” candidate who actually feels like a safe hire.

What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers.

The strongest candidates aren't "tool collectors”—they're people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly.

Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn't match job keywords (ATS filters you out).

Projects look like school assignments (not production-aligned).

Interview skills are undertrained (DSA, system design, SQL, behavioral).

No structured pipeline (random applying without feedback loops).

A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says "yes.” Who this path fits best If you're a recent graduate, you'll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor's or Master's programs who need a real hiring plan Candidates who apply consistently but don't get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities.

If you're tired of guessing, stop treating your job search like a lottery.

Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer.

If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact & get a roadmap: Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Bottom line for fresh grads: Your degree is the starting line, not the finish line.

If you want to get hired faster, you don't need "more random courses.” You need a guided, job-focused path and the right people around you.

In tech, it's not just what you learn—it's how you learn and who you build with that decides how far you go.

Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.

Resume submissions may be shared with our JOPP team database also.

Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume
Not Specified
Data Entry 1
Salary not disclosed
Atlanta 3 days ago
Immediate need for a talented Data Entry 1 .

This is a 03 months contract opportunity with long-term potential and is located in U.S(Remote).

Please review the job description below and contact me ASAP if you are interested.

Job ID:26-08963 Pay Range: $22
- $23/hour.

Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key Responsibilities: Submit a minimum of 8 submission per 8-hour shift.

This can change as we are going to process changes.

Review request, research, and submit changes per regulation/business rules.

The main function of a data entry specialist is to operate data entry devices, such as a keyboard or computer, to verify and input data.

A typical data entry specialist is responsible for accurate information documentation and personal project management.

Read source documents such as practitioner profiles, emails, and enter data in specific data fields or onto tapes or disks for subsequent entry, using keyboards or scanners.

Compile, sort and verify the accuracy of data before it is entered.

Locate and correct data entry errors or report them to supervisors.

Compare data with source documents, or re-enter data in verification format to detect errors.

Maintain logs of activities and completed work.

Key Requirements and Technology Experience: Key Skills;Technical skills include documentation skills and time management.

Health plan experience, data entry experience, Previous experience with computer applications, such as Microsoft Word and Excel.

3-5 years of data entry experience is required.

A High School Diploma or GED is required.

Our client is a leading Healthcare Industry, and we are currently interviewing to fill this and other similar contract positions.

If you are interested in this position, please apply online for immediate consideration.

Pyramid Consulting, Inc.

provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc.

and its affiliates, and contracted partners.

Frequency varies for text messages.

Message and data rates may apply.

Carriers are not liable for delayed or undelivered messages.

You can reply STOP to cancel and HELP for help.

You can access our privacy policy here .
Not Specified
Data Quality Specialist
Salary not disclosed
Kennett Square, PA 5 days ago

Job Description:

Overview:

We don't simply hire employees. We invest in them. When you work at Chatham, we empower you - offering professional development opportunities to help you grow in your career, no matter if you've been here for five months or 15 years. Chatham has worked hard to create a distinct work environment that values people, teamwork, integrity, and client service. You will have immediate opportunities to partner with talented subject matter experts, work on complex projects, and contribute to the value Chatham delivers every day.

We seek to enhance our Controls and Data Integrity team with a role specializing in data quality for interest rate, currency, and commodity transactions. The role is part of our global central operations group charged with ensuring the accuracy and reliability of Chatham's transaction, market, and valuation data.

In this role you will:

The purpose of the role is to ensure all transaction details are in Chatham's systems accurately and as agreed upon at execution. Data entry errors can have significant consequences to the economics of the transaction or to their accounting treatment, and it is therefore critical that team members understand transaction-related market conventions, payments, and valuations. This role will provide support for transactions executed by Chatham's real estate, private equity, corporate, and financial institutions sectors. We expect primary responsibilities to include:

  • Transaction and data review
    • Work as part of the larger team to check the data entry on transactions as they are executed
    • Verify calculation amounts and build payment schedules
    • Develop an understanding of the underlying transactions in order to identify loading errors
    • Check daily control reports to monitor unusual movements in transaction valuations and market data
    • Assist with data clean-up related transaction data and Client Relationship Management (CRM) software
  • Communicate and coordinate across other internal teams and with clients
    • Interact with sector team members to verify/clarify data, as needed
    • Work with internal models, analytics, and technology teams to resolve issues
    • Play an active role in liaising between the business and technical teams
    • Check and send out monthly valuation reports to clients
  • Develop and share subject matter expertise
    • Take part in the training of new Chatham employees on sector teams
    • Serve as an integral member of ad hoc project teams to improve processes, solve problems, and provide insight from a data quality perspective
    • Develop SQL skills and help create database queries
  • The role may also include opportunities to contribute to the team in other capacities as interests and team needs align.

Your impact:

Our team works in partnership with Chatham's sector advisory teams and clients to help them efficiently navigate the data quality, operational, and regulatory compliance aspects of a transaction. We strive to continually improve the workflows we are responsible for and have the chance to do so by implementing process changes and/or leveraging supporting technology. Team members play a crucial role in these process improvements and serve as subject matter experts, providing regular training and resources for all Chatham teams.

Contributors to your success:

  • 2 years of experience working in operations or data quality may be beneficial but is not required
  • An interest in data quality, data management, and process improvement
  • Comfort with basic math skills and use of Microsoft Excel
  • High level of attention to detail, accuracy, and organization
  • Ability to multitask and independently prioritize workload
  • Strong verbal and written communication skills
  • Ability to work extra/non-standard hours around month- and quarter-ends (and other special cases) to support critical business processes
  • Experience with VBA and SQL are beneficial, but not necessary

We seek individuals that will thrive in our culture and can make a significant impact over the long term. Most of our team members do not come to Chatham with a deep understanding of derivatives; therefore, we conduct classroom and apprentice-style training. We look for people who have consistently demonstrated drive, determination, and academic/professional accomplishment throughout their lives. We invest a great deal of time and training with our employees and we are looking for individuals who want to make a long-term commitment to the company.

About Chatham Financial:

Chatham Financial is the largest independent financial risk management advisory and technology firm. A leader in debt and derivative solutions, Chatham provides clients with access to in-depth knowledge, innovative tools, and an incomparable team of over 700 employees to help mitigate risks associated with interest rate, foreign currency, and commodity exposures. Founded in 1991, Chatham serves more than 3,500 companies across a wide range of industries - handling over $1 trillion in transaction volume annually and helping businesses maximize their value in the capital markets, every day. To learn more, .

Chatham Financial is an equal opportunity employer.

Not Specified
Lecturer - Data Science Undergraduate Studies - College of Computing, DataScience, and Society
Salary not disclosed
Berkeley, CA 4 days ago
Position overview

Salary range:
The UC academic salary scales set the minimum pay at appointment. See the following table for the current salary scale for this position: . The current full-time salary range for this position is $70,977-$199,722. Placement on the scale is commensurate with college teaching experience.

Percent time:
15% to 100%

Anticipated start:
Positions usually start in July or August for Fall, January for Spring and June for Summer.

Review timeline:
Applications will be accepted and reviewed for unit needs through January 2027. Applications are typically considered in April and May for fall course needs, in September and October for spring course needs, and February and March for summer course needs. The pool will close January 2027; applicants wishing to remain in the pool after that time will need to submit a new application.

Application Window


Open date: June 9, 2025




Most recent review date: Tuesday, Jun 24, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.




Final date: Tuesday, Jan 12, 2027 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.



Position description

Data Science Undergraduate Studies (DSUS) at the University of California, Berkeley invites applications for a pool of qualified temporary lecturers to teach DSUS courses should an opening arise. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester (fall, spring and summer sessions), depending on the needs of the unit.



About DSUS



Data Science Undergraduate Studies (DSUS) offers a range of academic, co-curricular, and enrichment programs-including the Data Science major and minor-with a wide-reaching impact both across UC Berkeley and beyond.



Designed in collaboration with faculty from across Berkeley, Data Science invests students with deep technical knowledge, expertise in how to apply that knowledge in a field of their choosing, and an understanding of the social and human contexts and ethical implications of how data are collected, analyzed, and used. This combination positions graduates to help inform and develop solutions to a range of pressing challenges, from adapting industry to a new world of data to amplifying learning in education to helping communities recover from disaster.



DSUS is part of the College of Computing, Data Science, and Society (CDSS), which strives to develop, implement, and share high-quality, ethics-oriented, and accessible curricula, educating a diverse student body in data science, computing, and statistics. Core to the college is an understanding of how computing and data science affect equality, equity, and opportunity-and the capacity to respond to social challenges.



DSUS is committed to hiring and developing staff who want to work in a high performing culture that reflects the outstanding work of our faculty and students. DSUS seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy.



Responsibilities



DSUS is seeking outstanding instructors to be appointed in the non-Senate Lecturer title series who can teach small and large courses in several areas. We are particularly interested in instructors who can combine computational and inferential thinking in a way that reflects the new field of Data Science Education.



Core courses include:

Fundamentals of Data Science

Principle and Techniques of Data Science

Human Contexts and Ethics of Data

Data and Justice

Data, Inference, and Decisions

Honors Thesis Seminar



Connector Courses: Instructors may be hired to teach Connector Courses that connect Foundations of Data Science with other disciplines, such as neuroscience, legal studies, public health, demography, English or others. Connector courses allow students to apply theoretical concepts from data science to a particular area of interest. Course design and syllabus will leverage the sequence of computational and statistical techniques that students learn in the Foundations course.



Teaching a Data Science course may include holding office hours, assign grades, advise students, prepare course materials (e.g., syllabus), provide clear and prompt feedback on student work, and maintain the course website.



Please note: The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in AP Recruit to learn whether the unit is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.



Department: dsus

Division:



Qualifications

Basic qualifications (required at time of application)

Must have an advanced degree or be enrolled in an advanced degree program at the time of application.



Additional qualifications (required at time of start)

Advanced degree. Candidates must already be authorized to work in the United States.



Preferred qualifications

A Ph.D. or equivalent international degree in computer science, statistics, information, applied mathematics, engineering, or the social sciences is preferred.



Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.



Application Requirements

Document requirements

  • Curriculum Vitae - Your most recently updated C.V.


  • Cover Letter


  • Statement of Teaching - Please discuss prior teaching experience, teaching approach, and future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.




Reference requirements
  • 3-4 required (contact information only)


Apply link:
JPF04958

Help contact:



About UC Berkeley

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.



The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.



For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.



In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.



As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.


Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.



As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.




  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy
  • APM - 035: Affirmative Action and Nondiscrimination in Employment


Job location
Berkeley, CA
Not Specified
Postdoctoral Scholar - Berkeley School of Education - Data Science EducationResearcher
🏢 University of California-Berkeley
Salary not disclosed
Berkeley, CA 3 days ago
Position overview

Position title:
Non-Senate

Salary range:
The UC postdoc salary scales set the minimum pay determined by experience level at appointment. See the following table(s) for the current salary scale(s) for this position: . A reasonable estimate for this position is $69,073 - $74,281.

Percent time:
100%

Anticipated start:
As soon as March 2, 2026. Exact start date negotiable.

Position duration:
Two year appointments

Application Window


Open date: February 24, 2026




Next review date: Wednesday, Mar 11, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.




Final date: Friday, Mar 27, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.



Position description

This postdoctoral opportunity brings together faculty from UC Berkeley's School of Education (BSE); the College of Computing, Data Science, and Society (CDSS); and the Social Science D-Lab to support one (1) postdoctoral scholar as they study the teaching and learning of Data Science. Scholars will apprentice with multiple projects to develop and contribute expertise and scholarship in ethical data science teaching and learning across precollege, 2-year college, and 4-year university contexts. A major goal is to prepare scholars who are conversant across sectors, in order to help create coherent and supportive data science learning trajectories for all students.



We seek applicants with complementary relevant skill-sets and training in data science and education. This includes applicants with different educational backgrounds (e.g. research, regional, or liberal arts colleges; technical and community colleges), methodologies (e.g. qualitative and quantitative approaches to social sciences research), and experiences related to teaching or educational research (e.g. tutoring, teaching, curriculum development). We hope scholars will all share commitments to contributing high-quality, ethical Data Science Education teaching, curriculum, and scholarship. Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this positon.



The program will prepare postdoctoral scholars for a variety of careers such as entering Discipline-Based Education Research or the Scholarship of Teaching and Learning of Data Science as research or teaching faculty at a range of colleges and universities; working for non-academic organizations that design, develop, and study curricula, resources, and teacher learning for Data Science Education; or working with school districts or university systems to support student readiness, success, interest/confidence and career awareness in data science.



Duties of Position:

Year 1: Researchers will work with specialists among the faculty in Computer Science, Data-Intensive Social Science, Education, and Statistics in research rotations across departments; attend monthly workshops designed to develop the knowledge base required to conduct consequential research in this field; and become integral members of a growing community of practice at UC Berkeley and across the SF Bay Area.



Year 2: Researchers will engage with a year-long apprenticeship with a faculty mentor and will develop an independent project within the context of one of the many educational initiatives led by project personnel. Fellows will have the opportunity to teach workshops in Python/Jupyter, social science methodology, data literacy pedagogies, or data science curriculum development, and they may also teach undergraduate courses in Data Science/Statistics or STEM teacher preparation, no more than one course per year in the lecturer title. They will present their independent work at campus colloquia and will engage the broader Data Science Education field through scholarly conferences, technical workshops, and UC Berkeley's annual Data Science Education convening.



Department:



Qualifications

Basic qualifications (required at time of application)

Doctoral degree (or equivalent international degree), or enrolled in a Doctoral or equivalent international degree program at the time of application.



Additional qualifications (required at time of start)

Doctoral degree (or equivalent international degree). No more than three years of post-degree research experience by start date.



Preferred qualifications

*Knowledge of Python, Jupyter, R/RStudio, and/or other common statistical computing tools and languages.



*Teaching or tutoring experience at K-12, community college, and/or university levels.



*Experience with a variety of educational institutions (e.g. regional, or liberal arts colleges; 2-year colleges; high schools; informal learning environments).



Application Requirements

Document requirements

  • Curriculum Vitae - Your most recently updated C.V.


  • Letter of interest - One page long, detailing professional goals and aspirations for research given what they know of the opportunity




Reference requirements
  • 2 required (contact information only)

References will only be contacted for those candidates under serious consideration. Letters of support should speak to the candidate's strengths with respect to both disciplinary experience (e.g. in Data Science, Computer Science, Statistics, and/or related fields) and experience in educational research and/or practice (e.g., as a tutor, curriculum developer, or related to academic studies in Education, Learning Sciences, Cognitive Science, Educational Psychology, or related fields).



Apply link:
JPF05274

Help contact:



About UC Berkeley

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.



The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.



For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.



In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.



As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.


Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.



As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.




  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy
  • APM - 035: Affirmative Action and Nondiscrimination in Employment


Job location
Berkeley, California
Not Specified
Sr. Quality Data Analyst
$45.03 - 59.89
New York City, NY 2 days ago
Join Us in Shaping the Future of Health Care

 

At MVP Health Care, we're on a mission to create a healthier future for everyone. That means embracing innovation, championing equity, and continuously improving how we serve our communities. Our team is powered by people who are curious, humble, and committed to making a difference-every interaction, every day. We've been putting people first for over 40 years, offering high-quality health plans across New York and Vermont and partnering with forward-thinking organizations to deliver more personalized, equitable, and accessible care. As a not-for-profit, we invest in what matters most: our customers, our communities, and our team.

 

What's in it for you:

 

  • Growth opportunities to uplevel your career
  • A people-centric culture embracing and celebrating diverse perspectives, backgrounds, and experiences within our team
  • Competitive compensation and comprehensive benefits focused on well-being
  • An opportunity to shape the future of health care by joining a team recognized as a Best Place to Work For in the NY Capital District, one of the Best Companies to Work For in New York, and an Inclusive Workplace.

 

You'll contribute to our humble pursuit of excellence by bringing curiosity to spark innovation, humility to collaborate as a team, and a deep commitment to being the difference for our customers. Your role will reflect our shared goal of enhancing health care delivery and building healthier, more vibrant communities.

 

The Sr. Quality Data Analyst will be responsible for leading and overseeing operational workflows within the Health Care Quality Analytics team. The ideal candidate will be accountable for ensuring the team delivers routine and ad hoc analyses and data visualizations to support MVP's health care quality functional area. The ideal candidate will have experience working with NCQA and CMS quality measures and HEDIS data to support improved health care outcomes and member satisfaction. They will also participate in automation efforts that create efficiencies and help to create a data-driven organization. The Sr. Quality Data Analyst will work with cross-functional teams, including business, technical, and Data Governance teams, to ensure the availability, accuracy, and reliability of data.

 

In alignment with MVP's core values, the Sr. Quality Data Analyst will be expected to demonstrate strong interpersonal and communication skills, promoting cooperation across organizational boundaries and encouraging groups to work together cooperatively. They will have strong analytical thinking skills, and a focus on continuously improving processes and reducing technical debt. Additionally, they will be self-motivated, with a sense of accountability and urgency in completing assignments.

 

Key Responsibilities:

 

  • Lead and oversee the successful execution of operational workflows and health care quality data deliverables.
  • Have experience working with HEDIS, Medicare Stars, and NYSDOH QARR measures data and a good understanding of health care quality measurement.
  • Conduct analysis of large data sets to support health care quality improvement initiatives, including gap analysis, process optimization, and patient engagement.
  • Collaborate with cross-functional teams to design, implement, and maintain data solutions that meet the needs of stakeholders and business partners.
  • Ensure the accuracy and integrity of data through the development and implementation of data quality control processes and procedures.
  • Provide training and mentorship to team members to promote growth and development.
  • Participate in the development of data governance policies, standards, and procedures, and ensure compliance with regulatory requirements and industry best practices.
  • Present data insights and recommendations to leadership, effectively communicating complex technical information to non-technical stakeholders.
  • Continuously monitor and evaluate the effectiveness of operational workflows, making recommendations for improvements and leading implementation efforts as necessary.

 

Position Qualifications

 

Minimum Education

 

Bachelor's degree in a related field (e.g. Mathematics, Statistics, Computer Science, Epidemiology, or Healthcare) required; Master's degree preferred.

 

Minimum Experience

 

5+ years of experience in healthcare data analysis, with a strong focus on health care quality analytics and operations.

 

Experience leading teams and executing on operational workflows.

 

Required Skills

 

  • Strong analytical skills, with the ability to turn data into actionable insights.
  • Proficiency in SQL, Azure Databricks, data visualization tools (e.g. Tableau, PowerBI), and data manipulation tools (e.g. Alteryx, R, Python).
  • Excellent verbal and written communication skills, with the ability to effectively communicate technical information to both technical and non-technical stakeholders.
  • Ability to work independently and as part of a team, with strong project management skills and the ability to prioritize tasks effectively.
  • Keen attention to detail.
  • Subject matter expertise of healthcare industry quality metrics, Medicare Stars and HEDIS standards.

 

Pay Transparency

 

MVP Health Care is committed to providing competitive employee compensation and benefits packages. The base pay range provided for this role reflects our good faith compensation estimate at the time of posting. MVP adheres to pay transparency nondiscrimination principles. Specific employment offers and associated compensation will be extended individually based on several factors, including but not limited to geographic location; relevant experience, education, and training; and the nature of and demand for the role.

 

We do not request current or historical salary information from candidates.

 

$93,667.00-$124,576.75

 

MVP's Inclusion Statement

 

At MVP Health Care, we believe creating healthier communities begins with nurturing a healthy workplace. As an organization, we strive to create space for individuals from diverse backgrounds and all walks of life to have a voice and thrive. Our shared curiosity and connectedness make us stronger, and our unique perspectives are catalysts for creativity and collaboration.

 

MVP is an equal opportunity employer and recruits, employs, trains, compensates, and promotes without discrimination based on race, color, creed, national origin, citizenship, ethnicity, ancestry, sex, gender identity, gender expression, religion, age, marital status, personal appearance, sexual orientation, family responsibilities, familial status, physical or mental disability, handicapping condition, medical condition, pregnancy status, predisposing genetic characteristics or information, domestic violence victim status, political affiliation, military or veteran status, Vietnam-era or special disabled Veteran or other legally protected classifications.

 

To support a safe, drug-free workplace, pre-employment criminal background checks and drug testing are part of our hiring process. If you require accommodations during the application process due to a disability, please contact our Talent team at .
permanent
DBA/DATA Architect
Salary not disclosed
Denver, CO 2 days ago

Hi ,

This is Vamshi ,from Software Technology We have a job opening with our client for position DBA/DATA Architect If you are available and looking for any new opportunities, please send me your updated resume for below position ASAP.


Job Title: DBA/DATA Architect

Location: Denver, CO (Hybrid 3 days work form office)

Duration: Full Time/Longterm Contract


Must have skills: Architect level good; but should be hands-on with proactive driver mindset (individual contributor; no team management responsibility)

Skills To Be Evaluated On

Azure Data Factory, MS SQL Server DBA, Performance Tuning, Data Pipeline, Data Management

Technical Skills

  • Azure Data Factory, Azure Data Lake Storage (ADLS), Azure Databricks, Azure SQL Database.
  • Strong SQL, Python, Scala, and PySpark.
  • Experience in building data models and schema design.
  • Experience with SSIS
  • Oracle DB experience would be a Plus


Roles & Responsibilities

  • Design, build, and optimize data pipelines and ETL processes using Azure Data Factory and Databricks.
  • Manage Azure SQL Database, including performance tuning, indexing, and query optimization.
  • Design scalable data solutions, data lakes (ADLS), and data warehousing solutions.
  • Ensure data security, quality, and integrity throughout the lifecycle.
  • Monitor data pipelines and resolve performance issues or failures.
  • Work with data scientists and analysts to support data-driven decision-making.


Thanks,

Vamshi Thangadpalli

Technical Recruiter

Email: | Web: :// Overlook Center, Suite 200

Princeton, NJ 08540.

Not Specified
Technical Product Manager (Data Analytics)
🏢 Nexwave
Salary not disclosed
Austin, TX 2 days ago

Role : Technical Product Manager ( Data Analytics )

Location - Austin, TX (Onsite) - only Local to Texas (other states don't apply)

Exp Req : 10+


Rate : $55/Hr on W2 Max


Skills Mandatory :

1, Marketing Data Analysis knowledge.

2, KPI and metrics definition on Marketing Data. Mainly for media product.

3, Instrumentation knowledge and through process.


Original JD:

  • Key Qualification 7+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role, preferably for a digital subscription business.
  • Strong proficiency with SQL-based languages is required. Experience with large-scale data technologies such as Hadoop, PySpark
  • Proficiency with data visualization tools such as Tableau, , and/or MicroStrategy for analysis, insight synthesis, data product delivery, and executive presentation.
  • You have a curious business mindset with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
  • Excellent communication, social, and presentation skills with meticulous attention to detail.
  • Strong time management skills with the ability to handle multiple projects with tight deadlines and executive visibility.
  • Be known for successfully bridging analytics and business teams, with an ability to speak the language of both.

Job Description :

  • Build dashboards, self-service tools, and reports to analyze and present data associated with customer experience, product performance, business operations, and strategic decision-making.
  • Create datasets, Develop global dashboards, data pipelines, sophisticated security controls, and scalable ad-hoc reporting
  • Closely partner with our Data Science team to define metrics, datasets, and automation strategy
  • Engage with Product, Business, Engineering, and Marketing teams to capture requirements, influence how our services are measured, and craft world-class tools to support those partners.
  • Establish a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide transparency on progress.
  • Focus on scale and efficiency - create and implement innovative solutions and establish best practices across our full scope of delivery
  • Education Minimum of a Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or related field. Technical Product Management


Key Qualifications :

  • Experience in a Technical Product Management role, preferably for a digital-media or subscription business.
  • Knowledge of Client-Server metrics logging strategies as well as data architecture required for analysis
  • Hands-on experience with the end-to-end data lifecycle across petabyte-scale technologies
  • Prior experience in a technical role (preferably as a data analyst or engineer), delivering data insights to stakeholders
  • Strong experience designing and driving product strategy cross-functionally, collaborating with partners of various technical levels.


Nice to have :

• Experience in data-related programming languages (e.g. SQL, PySpark, Python, or R)


Description :

  • Data is our product. We are looking for a self-starting, upbeat individual with excellent communication skills who is passionate about managing and developing critical datasets to maximize Data Science capabilities. You should have a strong interest in driving large-scale data products, engaging with key business stakeholders, and driving critical communications throughout the business.


Stephen

Lead Talent Acquisition Specialist

Email :

Not Specified
Data Privacy & Cybersecurity Associate Attorney (3–5 Years Experience) – New York, NY- 410348
Salary not disclosed
New York, NY 3 days ago

Job ID: 410348


Practice area:- Data Privacy - Litigation,Data Privacy - Transactional


Data Privacy & Cybersecurity Associate Attorney (3–5 Years Experience) – Privacy Compliance & Cyber Incident Response | New York, NY


Keywords:- Data Privacy Associate Attorney, Cybersecurity Attorney, Privacy Compliance Attorney, Data Protection Litigation Attorney, Litigation Attorney New York, New York legal jobs, Attorney jobs NYC, NY Bar required, Law firm litigation associate, Partner-track position, lawyer,data processing agreement, DPA, standard contractual clauses, privacy policy, cross-border transfer, SaaS privacy, controller-processor, data map, vendor contract, information security addendum, data transfer impact assessment


A top-tier law firm is seeking a Data Privacy Associate Attorney (3–5 years experience) to join its Cybersecurity, Privacy, and Data Protection practice in New York, NY. Work on cutting-edge privacy compliance matters, regulatory investigations, and cyber incident response within a highly respected national practice.


Associates say that this Vault 20 law firm offers consistently substantive work across all levels of seniority and a collegial atmosphere. The prestigious firm, which has offices located across the country, provides valuable training and abundant mentorship opportunities to its associates, as well as a partner-track atmosphere that strives for high associate retention. Associates also praise the firm for its generous pro-bono and face-time policies.

________________________________________


A nationally recognized top-tier law firm is seeking a Data Privacy Associate Attorney to join its expanding Cybersecurity, Privacy, and Data Protection practice in New York, NY. This opportunity is ideal for attorneys with strong experience advising clients on cybersecurity compliance, data protection regulations, and incident response strategies.


Attorneys pursuing New York legal jobs in privacy and cybersecurity law will gain hands-on experience advising companies across industries on regulatory compliance, privacy frameworks, and litigation risks associated with data protection. The Data Privacy Attorney will collaborate with multidisciplinary teams while working directly with sophisticated clients navigating evolving global privacy regulations.


This partner-track position offers significant professional growth for attorneys seeking New York legal jobs in one of the fastest-growing legal practice areas. The firm is actively interviewing candidates with strong law firm experience who want exposure to complex cybersecurity matters and regulatory investigations.

________________________________________


Key Responsibilities


• Advise clients on cybersecurity compliance and data privacy regulations.

• Develop and implement corporate privacy policies and governance programs.

• Provide legal guidance during cyber incidents and data breach responses.

• Assist clients with data breach notification requirements and regulatory compliance.

• Conduct regulatory investigations and litigation related to privacy violations.

• Collaborate with internal legal teams and cybersecurity professionals on compliance strategies.

• Draft legal memoranda, compliance documentation, and regulatory responses.

________________________________________


Qualifications


• 3–5 years of experience practicing as a Data Privacy Associate Attorney or similar role.

• Prior large law firm experience in privacy, cybersecurity, or regulatory compliance.

• Strong understanding of privacy laws, data protection frameworks, and cybersecurity regulations.

• Excellent legal research, writing, and analytical abilities.

• Ability to work effectively in a fast-paced legal environment.

• NY Bar required and active license to practice law in New York.

• Superior academic credentials.

________________________________________


Education


• Juris Doctor (JD) degree from an accredited law school.

________________________________________


Certifications


• Active bar admission in the relevant jurisdiction.

________________________________________


Skills


• Strong analytical and problem-solving capabilities.

• Excellent legal writing and research skills.

• Effective communication and presentation abilities.

• Ability to collaborate within cross-disciplinary legal teams.

• Strong client advisory and risk management skills.

________________________________________


Culture & Firm Appeal


This opportunity is with a nationally respected top-tier law firm known for providing sophisticated legal services across a wide range of industries. The firm maintains a strong reputation for handling complex regulatory, cybersecurity, and litigation matters for major clients.

Attorneys benefit from a collegial and collaborative culture where mentorship and professional development are prioritized. Associates consistently receive meaningful responsibility early in their careers and gain exposure to complex legal matters across the cybersecurity and privacy landscape.

Professionals exploring New York legal jobs will value the firm’s commitment to mentorship, high-quality legal work, and a strong partner-track environment designed to support long-term career development.

________________________________________


Why This Role Is Unique


• Work at the forefront of cybersecurity and data privacy law, one of the fastest-growing legal practice areas.

• Advise clients on complex data breach incidents and privacy compliance strategies.

• Exposure to high-profile regulatory investigations and privacy litigation matters.

• Collaborative team environment with strong mentorship and training.

• Clear partner-track position within a respected national legal practice.

• Ideal opportunity for attorneys seeking advanced New York legal jobs in cybersecurity and privacy law.

This position rarely opens at this level and provides attorneys the opportunity to build expertise in a rapidly evolving legal practice area while working with sophisticated clients.

________________________________________


Benefits


• Comprehensive health insurance.

• Retirement savings plan.

• Professional development opportunities.

________________________________________


Call to Action


Apply now for a confidential discussion with a BCG Attorney Search recruiter.

Explore this elite-level opportunity today.

Submit your resume to learn more about this prestigious role.

________________________________________


BCG Attorney Search is the industry leader for placing candidates in permanent positions in law firms. Since 2000, our recruiters have placed several thousand attorneys and enjoyed extraordinarily high success rates with our candidates. As a BCG Attorney Search candidate, you have access to more opportunities than any legal placement firm in the United States. We are able to offer the most in-depth insight in the legal recruiting market thanks to our dedicated team of over 150 employees who mercilessly research, study and analyze the legal market. The depth and breadth of our research empowers us to place attorneys at rates that are unparalleled at any placement firm in the United States. Many of our recruiters make 30 to 40 placements per year, while recruiters at competitor firms are likely to make four or five. Unlike other placement firms that can only tell you about openings at major AmLaw firms, we place candidates of all backgrounds in firms of all sizes. While other legal recruiters only represent a narrow band of candidates from top law firms and top law schools, our research, firm contacts, and market insight allow us to place hundreds of candidates each year who do not fit this mold. It is rare that we do not get candidates we represent interviews and offers. No one in the world is better at legal recruiting and placement than BCG Attorney Search.


BCG Attorney Search will confidentially review your application and will not forward your materials to the firm without first discussing the opportunity with you.

Not Specified
Director of Business Intelligence & Data Services
Salary not disclosed
Corvallis, OR 3 days ago
  • The Director of BI and Data Services will be primarily managing Power BI and Epic Cogito. Preferred candidates would reside in Oregon with the ability to come onsite.


  • We are open to considering candidates remote out of state in which we can employ in the following states: Alabama, Alaska, Arizona, Arkansas, Connecticut, Florida, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Michigan, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, West Virginia, or Wisconsin


JOB SUMMARY/PURPOSE

  • Oversees the design, implementation, and maintenance work of business intelligence, analytics, and data architecture managers. Responsible for the strategic leadership and direction of data architecture and business intelligence strategies to meet the data needs of the organization. Ensures system standards and compatibility with SHS information systems architecture, tools, policies, and procedures. Ensures that data initiatives align with organizational objectives and data governance policies and procedures. Responsible for budgeting of IS Business Intelligence and Data Services department, ensuring resources are allocated efficiently and cost-effectively to support the organization's goals. Leads maturation of Samaritan Health Services as a data driven, data literate health system, working with clinicians, business stakeholders, researchers, informaticists, IS colleagues, and others. Creates a culture of teaching, mentoring and professional development across the system. Maintains consultative, trusted-advisor relationships with stakeholders.


DEPARTMENT DESCRIPTION

  • Information Services is committed to providing leadership, support and coordination of technology at Samaritan Health Services. The IS Business Intelligence and Data Services department provides comprehensive data support as a centralized resource for the organization. Services include data integration and warehousing, analytic reporting, business intelligence solutions, statistical data analysis, and data science solutions.


EXPERIENCE/EDUCATION/QUALIFICATIONS

  • Bachelor's degree required (preferably in an Information Systems related field). An advanced degree in information systems, mathematics, statistics, analytics, engineering or a related field preferred.
  • Eight (8) years professional and/or leadership experience in data analytics/business intelligence/data science required.
  • Five (5) years experience in the management of technical resources required.
  • Two (2) years experience in business intelligence/data science delivery required.
  • Project management and continuous process improvement experience required.
  • Experience with Epic Cogito strongly preffered.
  • Experience in multiple data-related technologies required.
  • Project management certifications preferred.
  • Experience providing advanced business intelligence and data science solutions in a healthcare setting preferred.


KNOWLEDGE/SKILLS/ABILITIES

  • Leadership - Inspires, motivates, and guides others toward accomplishing goals. Achieves desired results through effective people management.
  • Conflict resolution - Influences others to build consensus and gain cooperation. Proactively resolves conflicts in a positive and constructive manner.
  • Critical thinking – Identifies complex problems. Involves key parties, gathers pertinent data and considers various options in decision making process. Develops, evaluates and implements effective solutions.
  • Communication and team building – Leads effectively with excellent verbal and written communication. Delegates and initiates/manages cross-functional teams and multi-disciplinary projects.
Not Specified
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