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AWS Data Engineer.

Reston, VA (3 days onsite)

5–7+ years of experience with AWS data engineering, ETL/ELT pipelines, and cloud‑native data processing.

Looking for proficiency in the following areas –

• AWS Data Services (Glue [PySpark], Lambda, Step Functions, S3, DynamoDB, Redshift, RDS, CloudWatch, IAM)
• Building and maintaining ETL/ELT data pipelines using AWS Glue, PySpark, Lambda, and orchestration frameworks
• Python scripting for ETL transformations, automation, and data quality checks
• Experience with distributed data processing (Spark / PySpark)
• Experience integrating data from APIs, AWS services, and external systems
• Familiarity with monitoring and logging tools (CloudWatch, Splunk)
• Experience working with COTS or enterprise platforms as data sources

Other Requirements –

• Exposure to Agile methodology
• Good communication, documentation, and teamwork skills
• Ability to support off-hours production releases and provide on-call support for critical data pipelines

Education –

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field
• Relevant professional certifications

Job Overview:

As a Data Engineer, you will assist in building scalable data systems for analytics and reporting.

Responsibilities:

Develop data pipelines

Collaborate with analytics teams

Maintain cloud-based data platforms

Requirements:

Bachelor’s degree in technical discipline

Experience with SQL and cloud services

Understanding of big data tools

We are currently supporting a direct client that has recently migrated from a legacy data platform to Databricks as part of a broader modernization initiative. As this is a new implementation of their Lakehouse platform, the team is looking for a Senior Databricks Platform Administrator who can play a key role in guiding the platform through the next phase — including POC validation, platform governance, and operational best practices.

This role is ideal for someone who enjoys working at the architectural and platform level, helping organizations avoid common pitfalls and ensuring the Databricks environment is built for scalability, performance, security, and cost optimization from day one.

You will have the opportunity to shine with your expertise by advising the client on platform design, governance models, cluster strategy, and DevOps automation, while helping establish the foundation for a robust enterprise Lakehouse environment.

Key Skills & Experience

• Databricks workspace administration and cluster governance
• Unity Catalog, Delta Lake, and Spark performance optimization
• AWS architecture including IAM, VPC, S3, KMS, PrivateLink, and CloudWatch
• Terraform and Infrastructure-as-Code for platform provisioning
• CI/CD pipelines, Git workflows, Databricks CLI, and API integrations
• Automation using Python or Bash
• Cost optimization and platform governance strategies

Nice to Have

Experience with:

• Delta Live Tables
• Auto Loader
• MLflow
• Feature Store
• Databricks Serverless Computer

Surescripts serves the nation through simpler, trusted health intelligence sharing, in order to increase patient safety, lower costs and ensure quality care. We deliver insights at critical points of care for better decisions - from streamlining prior authorizations to delivering comprehensive medication histories to facilitating messages between providers.

The Strategic Data(RWD) Acquisition Manager will be an integral part of Surescripts' data ecosystem by executing negotiations with Surescripts Network Alliance partners to secure data usage rights, while also identifying and acquiring new, strategic data sources. This person will play a critical role in maintaining access to high quality data necessary for the development of solutions that will deliver value and improve the experience for stakeholders across the healthcare ecosystem. This position requires a deep understanding of healthcare data, the regulatory landscape and business development experience to successfully negotiate and secure data agreements that will enhance our product portfolio.

• Identify and evaluate potential data sources of interest that expand Surescripts' data portfolio. Create comprehensive value propositions for how the data could be used within Surescripts' solutions, and valuation of the data to make offers to data sources for data acquisition.
• Drive business development efforts to secure agreements that enhance Surescripts' data portfolio. With guidance from leadership, execute strategies to identify and approach potential data partners, and successfully negotiate terms.
• Collaborate with sales and product teams to develop strategies to align customer incentives with broader data-dependent initiatives. Interface with Surescripts Network Alliance partners to negotiate data usage rights, ensuring alignment with business goals and regulatory requirements.
• Interface with data providers, industry partners, and other stakeholders.
• Manage day-to-day data procurement-related inquiries and negotiations with data providers and customers.
• Maintain a thorough understanding of privacy laws, including HIPAA permitted purposes. Collaborate with compliance, privacy, security, and data governance teams to ensure all data procurement activities comply with all state and federal regulations, internal policies, and customer contracts.
• Monitor and report on data procurement activities. Track progress of data procurement efforts, report on key metrics, and provide regular updates to senior management. Proactively identify and address any challenges or obstacles in the procurement process. Monitor and evaluate the ROI of data acquisition initiatives to prioritize high-impact opportunities.
• Keep up-to-date with the latest developments in data rights, privacy regulations, and the healthcare industry. Apply and share this knowledge to improve data procurement strategies and ensure the company remains compliant and competitive.

Qualifications:

Basic Requirements:

• Bachelor's degree in Business, Economics, Data Science, or related field;
• 8+ years of experience in business development and/or related experience in the procurement/acquisition of healthcare data.
• Strong understanding of regulations around healthcare data, including Health Insurance Portability and Accountability Act (HIPAA) and Trusted Exchange Framework and Common Agreement (TEFCA).
• Ability to evaluate the value and quality of data assets and their applicability to business needs.
• Proven experience in negotiating contracts and managing vendor relationships.
• Demonstrated success in business development and deal negotiation.
• Excellent written and verbal communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Ability to travel for team, customer and vendor meetings as needed.
• Strategic thinker with strong analytical and problem-solving abilities and results-driven mindset.

Preferred Qualifications:

• MBA or advanced degree preferred in a related field.
• Strong understanding of healthcare interoperability standards, such as Fast Healthcare Interoperability Resource (FHIR).
• Strong understanding of electronic health records (EHR), pharmacy and claims data, health information exchanges (HIE), and TEFCA qualified health information networks (QHINs)
• Familiarity with data governance tools (e.g. data mapping, lineage

#LI-remote

Surescripts embraces flexibility through its Flexible Hybrid Work model for most positions. This model allows employees to work virtually while still utilizing our offices as collaboration centers. With alignment and agreement from your leadership, you can come and go from the office as needed.

To be considered for employment, applicants must have a valid U.S. work authorization allowing work without restrictions with Surecripts in the U.S. At this time, we are unable to provide support or provide sponsorship for immigration benefits such as work visas. Additionally, we do not participate in academic training programs or work-study programs through an academic institution that require employer endorsement of F-1/CPT or F-1/STEM.

Why Wait? Apply Now

We're a midsize company. This means you're not just another employee ID number. Here, you can build real relationships and feel supported by truly awesome people with diverse backgrounds and talents in an innovative and collaborative work culture. We strive to create an environment where you can be yourself, share your ideas and work your way. We offer opportunities for employee development, as well as competitive compensation packages and extensive benefits.

Benefits include, but are not limited to, comprehensive healthcare (including infertility coverage), generous paid time off including paid childbirth and parental leave and mental health days, pet insurance, and 401(k) with company match and immediate vesting. To learn more, review the Keep You and Yours Healthy, Balancing Work and Life, and Where Talent Takes Shape links under the Better Benefits. Better Work. Better Life section of our careers site.

While performing duties of this job, an employee may be required to perform any, or all of the following: attend meetings in and out of the office, travel, communicate effectively (both orally and in writing), and be able to effectively use computers and other electronic and standard office equipment with, or without, a reasonable accommodation. Additionally, this job requires certain mental demands, including the ability to use judgement, withstand moderate amounts of stress and maintain attention to detail with, or without, a reasonable accommodation.

Surescripts is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate on the basis of race, color, religion, age, national origin, ancestry, disability, medical condition, marital status, pregnancy, genetic information, gender, sexual orientation, parental status, gender identity, gender expression, veteran status, or any other status protected under federal, state, or local law.

Job Name: MDM Data Quality & Cleansing Specialist

Job Location: Wayne, PA, 19087 (2 days/week onsite is required - Team onsite day is Thursdays)

Duration: 6 Months with potential to extend

Working Hours: 8:30 am - 5:30 pm (some flexibility)

Interview Process: 1 45-minute virtual interview

Position Summary

The MDM Data Quality & Cleansing Specialist is responsible for supporting enterprise Master Data Management (MDM) initiatives by performing remediation of post–match merge fallout records and executing data cleansing activities across designated data domains. This position plays a critical role in ensuring the accuracy, consistency, and completeness of master data in accordance with established data governance policies, data quality standards, and operational procedures.

Responsibilities

• MDM Fallout Management
• Review and research fallout records generated from MDM match merge processes.
• Perform timely and accurate remediation of data exceptions in accordance with predefined business rules and governance standards.
• Validate survivorship outcomes and ensure that entity resolution results align with data stewardship expectations.
• Conduct root cause analysis to determine factors contributing to recurring data exceptions.
• Data Cleansing and Data Quality Support
• Execute data cleansing tasks including standardization, deduplication, formatting corrections, and attribute validation.
• Verify data completeness and accuracy using approved tools, templates, and quality checks.
• Perform bulk updates or corrections as authorized, following established protocols and change control requirements.
• Assist in monitoring data quality dashboards, reports, and exception queues.
• Data Stewardship Collaboration
• Collaborate with Data Governance, Data Stewards, business partners, and MDM Operations teams to resolve data issues requiring business input.
• Document remediation decisions and maintain required audit trails in accordance with compliance and governance standards.
• Support stewardship processes by escalating complex or policy related issues as appropriate.

Qualifications

Required

• Minimum of 2 years of experience in Master Data Management, Data Governance, Data Quality, or a related data operations role.
• Proficiency with Microsoft Excel (e.g., lookup functions, pivot tables, filtering, data cleaning techniques).
• Experience working with one or more MDM applications (e.g., Informatica or similar).

Preferred

• Experience with match merge or entity resolution workflows.
• Basic proficiency in SQL or other data manipulation/query tools.
• Familiarity with data governance frameworks, data quality rules, and metadata management principles.
• Prior experience working with party (customer, partner) master data.

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.

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:

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

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

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.

• 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.

  
  

• 3-4 required (contact information only)

Help contact:

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
  

Open date: March 4, 2026

Next review date: Thursday, Mar 19, 2026 at 11:59pm (Pacific Time)

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

Final date: Thursday, Mar 4, 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.

The School of Information at the University of California, Berkeley, invites applications for a pool of part-time, non-tenure track lecturers to teach online courses in the Master of Information and Data Science (MIDS) program. We seek exceptional instructors with professional and/or academic expertise who can lead small, highly interactive sections of around 17 graduate students in this innovative, online program.

Courses in the MIDS program are pre-designed and structured, allowing instructors to focus on delivering dynamic and engaging learning experiences while providing valuable expertise to enhance student outcomes. Screening of applicants is ongoing and will continue as the program's needs evolve. The number of available positions may vary by semester based on the School's requirements.

Please Note:

Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.

The Berkeley School of Information (I School) is a global bellwether in a world awash in information and data, boldly leading the way with education and fundamental research that translates into new knowledge, practices, policies, and solutions. I School scholars and practitioners thrive in the intersections where people, organizations, and societies interact with information, technology, and data. The faculty comprises a mix of disciplines, including information, computer science, economics, political science, law, sociology, design, media studies, and more.

The I School offers three professional master's degrees and an academic doctoral degree. The MIMS program trains students for careers as information professionals and emphasizes small classes and project-based learning. The online MIDS program trains data scientists to manage and analyze the coming onslaught of big data in a unique high-touch online degree. The online MICS program prepares cybersecurity leaders with the technical skills and contextual knowledge necessary to develop solutions for complex cybersecurity challenges. The Ph.D. program equips scholars to develop solutions and shape policies that influence how people seek, use, and share information. Our cohorts and classes are small enough to support intense student engagement, and we encourage collaboration among the students, faculty, and staff in the I School community. Our alumni have careers in diverse fields, such as data science, user experience design and research, product management, engineering, information policy, cybersecurity, and more.

We are committed to attracting outstanding instructors from academia and industry who bring diverse perspectives and experiences to the virtual classroom. Whether your expertise lies in groundbreaking research, innovative industry applications, or both, we value professionals who can bridge theory and practice. Successful lecturers inspire graduate students by integrating real-world applications with deeper theoretical exploration, fostering critical discussions of historical and emerging trends, and preparing students to make an impact in the rapidly evolving field of data science.

If you are an enthusiastic educator or practitioner passionate about shaping the next generation of data science leaders, we encourage you to join our exceptional instructional team.

The instructor role is an exciting opportunity to contribute to the success of graduate students in cutting-edge online MIDS master's programs at UC Berkeley's School of Information.

Delivering Engaging Online Classes: Plan and lead synchronous sessions that emphasize active learning. Facilitate meaningful discussions, collaborative group activities, and practical exercises that enhance students' understanding and application of core concepts.

Facilitating Student-Centered Learning: Provide personalized support to students by holding virtual office hours, moderating online discussions, and leveraging student analytics to identify and support individual learning needs.

Designing and Refining Course Materials: Develop and update instructional materials, assignments, and assessments. Ensure all content aligns with program objectives, maintains academic rigor, and incorporates an inclusive and equitable learning environment.

Providing Constructive Feedback: Deliver timely, actionable feedback on student assignments and projects to promote growth and mastery of key competencies.

Maintaining Course Operations: Use the learning management system (LMS) and other educational technology tools to manage course websites, post assignments, and communicate with students effectively.

Collaborating with Faculty Teams: Actively participate in course meetings to align instructional practices, address challenges, and share innovative teaching strategies. Attend monthly or bi-monthly faculty meetings to stay connected with program goals, initiatives, and effective online teaching pedagogy.

Advancing Online Pedagogy: Engage in faculty development programs to stay current on the latest research, tools, and practices for effective online teaching. Share insights to enhance the overall learning experience.

Promoting Inclusion: Foster an inclusive, equitable learning environment that respects diverse perspectives and supports all students in achieving their academic and professional goals.

Please note:

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

UC Berkeley has several policies and programs to support all employees as they balance work and family.

Program:

Policies and Programs to Support All Employees: support-faculty/family-responsive-policies-benefits-programs-and-resources

Course Descriptions: courses/datasci

A bachelor's degree (or equivalent international degree).

Minimum 4 years of professional experience in the relevant field.

Minimum 2 years of experience in teaching in higher education or professional development in relevant fields. Professional development instructional activities would include leading workshops, delivering executive education, providing corporate training, or offering industry-recognized certification programs.

An advanced degree in Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related field.

10 + years of professional experience in fields such as Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related fields.

Multiple years of demonstrated excellence in teaching college-level courses, including experience with online instruction.

Familiarity with and use of collaborative learning techniques and student-centered methods of instruction.

Proven organizational skills and ability to complete assignments timely and accurately with minimal supervision.

Possess excellent communication skills, both oral and written, and the ability to communicate effectively with students with a wide range of skills.

Possess excellent interpersonal, customer service, and problem-solving skills. Ability to work well with students, faculty, and staff. Demonstrated strength or potential in teaching at the college level.

Demonstrated ability to support the academic, professional, and personal development of a diverse community through inclusive curriculum, classroom environment, and pedagogy in a multidisciplinary environment.

Teaching or in-depth knowledge and experience in at least one of the following core areas (please see course descriptions):

• 
  
• Applied Cloud Computing for Data Science
  
• Applied Machine Learning
  
• Applied Statistics(R)
  
• Capstone Projects - real-world projects and industry collaboration
  
• Computer Vision
  
• Data Visualization and Communication
  
• Deep Learning and Neural Networks
  
• Edge and IoT Data Science
  
• Experiments and Causal Inference
  
• Fundamentals of Data Engineering
  
• Generative AI
  
• Introduction to Data Science Programming (Python)
  
• Leadership in Data-Driven Transformation
  
• Machine Learning at Scale
  
• Machine Learning Systems Engineering
  
• Natural Language Processing with Deep Learning
  
• Privacy, Security, and Ethics in Data Science
  
• Regression and Time Series Analysis
  
• Research Design and Data Analysis
  
• Scalable Data Mining and Analysis
  
• Statistical Methods for Discrete Response, Time Series, & Panel Data
  
• Special Topics such as: AI for Sustainability, Autonomous Systems and Robotics, Data, Human-Centered Data Science, Spatial Data Science, Time-Series Analysis and Forecasting
  

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

  
  

• Cover Letter

  
  

• Statement of Teaching Interests/Experience/Approach - Applicants must submit a brief statement outlining their teaching philosophy, experience, and methods. This can include, for example, fostering student success, connecting theory to practice, advancing an inclusive learning environment for all students, facilitating student-centered learning, or providing practical exercises that enhance students' understanding and application of core concepts. The statement should clearly describe the format, audience, and scope of teaching or professional development experience.

  
  
  

  The statement should highlight areas of expertise and any experience with online or technology-enhanced teaching.

  
  
  

  Please indicate which class(es) you believe you are qualified to teach.

  
  

• Teaching Evaluations, if available (Optional)

  
  

• 3 required (contact information only)

Help contact:

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 Summary:

Our client is seeking a Data Steward to join their team! This position is located Hybrid in Creve Coeur, Missouri.

Duties:

• Understand business capability needs and processes as they relate to IT solutions through partnering with Product Managers and business and functional IT stakeholders
• Participate in data scraping, data curation and data compilation efforts
• Ensure high quality of the data to end users
• Ensure high quality of the inhouse data via data stewardship
• Implement and utilize data solutions for data analysis and profiling using a variety of tools such as SQL, Postman, R, or Python and following the team’s established processes and methodologies
• Collaborate with other data stewards and engineers within the team and across teams on aligning delivery dates and integration efforts
• Define data quality rules and implement automated monitoring, reporting, and remediation solutions
• Coordinate intake and resolution of data support tickets
• Support data migration from legacy systems, data inserts and updates not supported by applications
• Partner with the Data Governance organization to ensure data is secured and access is being managed appropriately
• Identify gaps within existing processes and capable of creating new documentation templates to improve the existing processes and procedures
• Create mapping documents and templates to improve existing manual processes
• Perform data discoveries to understand data formats, source systems, etc. and engage with business partners in this discovery process
• Help answer questions from the end-users and coordinate with technical resources as needed
• Build prototype SQL and continuously engage with end consumers with enhancements

Desired Skills/Experience:

• Bachelor's Degree in Computer Science, Engineering, Science, or other related field
• Applied experience with modern engineering technologies and data principles, for instance: Big Data Cloud Compute, NoSQL, etc..
• Applied experience with querying SQL and/orNoSQL databases
• Experience in designing data catalogs, including data design, metadata structures, object relations, catalog population, etc.
• Data Warehousing experience
• Strong written and verbal communication skills
• Comfortable balancing demands across multiple projects / initiatives
• Ability to identify gaps in requirements based on business subject matter domain expertise
• Ability to deliver detailed technical documentation
• Expert level experience in relevant business domain
• Experience managing data within SAP
• Experience managing data using APIs
• Big Query experience

Benefits:

• Medical, Dental, & Vision Insurance Plans
• Employee-Owned Profit Sharing (ESOP)
• 401K offered

The approximate pay range for this position starting at $104,000 - $115,000+ Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell 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 at

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.

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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.

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Education

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

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Certifications

• Active bar admission in the relevant jurisdiction.

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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.

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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.

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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.

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Benefits

• Comprehensive health insurance.

• Retirement savings plan.

• Professional development opportunities.

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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.

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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.