Light Helmets Apache Pro Jobs in Usa
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The candidate should have good knowledge of development methodologies and follow them while designing and coding.
This role requires collaborating and working with another team member focusing on quality support to both internal and external users, focusing on customer services and timeliness.
Responsibilities: Analyze ideas and business and functional requirements to formulate a design strategy.
Act as a tenant to draw out a workable application design and coding parameters with essential functionalities.
Work in collaboration with the team members to identify and address the issues by implementing a viable technical solution that is time and cost-effective and ensuring that it does not affect performance quality.
Develop code following the industry's best practices and adhere to the organizational development rules and standards.
Develop and deploy code using existing tools and platforms utilized for automation and testing.
Involved in the evaluation of proposed system acquisitions or solutions development and provides input to the decision-making process relative to compatibility, cost, resource requirements, operations, and maintenance Integrates software components, subsystems, facilities, and services into the existing technical systems environment; assesses the impact on other systems, and works with cross-functional teams within information Services to ensure positive project impact.
Installs configure and verify the operation of software components Participates in the development of standards, design, and implementation of proactive processes to collect and report data and statistics on assigned systems Participates in the research, design, development, and implementation of application, database, and interface using technologies platforms provided.
Researching, designing, implementing, and managing programs Fix problems arising across the test cycles and continuously improve the quality of deliverables.
Reference and document each phase of development for further reference and maintenance operation.
Should be able to lead and guide Developers in the team by providing technical assistance.
Requirements: Bachelor’s degree in Computer Science, Engineering, Math or related field Software Development Life Cycle and process Algorithm and Data Structure Critical and analytical thinking skills Understanding of programming principles and design Strong technical knowledge of Enterprise Application/Integration Design and Development of systems, databases, operating systems and Information Services.
Must have strong communication skills and ability to develop and present solutions to superiors.
Must be able to solve complex problems.
Must be able to interact effectively and patiently with customers especially while under pressure.
Ability to work on multiple projects/tasks simultaneously to meet project deadlines as required.
Ability to establish and maintain positive working relationships with other employees.
7+ years’ experience in corporate systems environments required.
Minimum of seven (7) years development experience in a corporate environment Working experience in Design, coding and deployment.
Knowledge of industry standard WEB platforms (.NET/C#), Automation (RPA and Test Automation), Microsoft Internet Information Server, Linux, Apache, Unix, Microsoft Foundation Server.
Experience working with Internal or External customers for an organization in coordinating work and designing solutions.
Experience utilizing the Software Development Lifecycle (SDLC), Agile and Waterfall Methodologies Work Schedule: 8AM
- 5PM Monday-Friday Work Type: Full Time
The candidate should have good knowledge of development methodologies and follow them while designing and coding.
This role requires collaborating and working with another team member focusing on quality support to both internal and external users, focusing on customer services and timeliness.
Responsibilities: Analyze ideas and business and functional requirements to formulate a design strategy.
Act as a tenant to draw out a workable application design and coding parameters with essential functionalities.
Work in collaboration with the team members to identify and address the issues by implementing a viable technical solution that is time and cost-effective and ensuring that it does not affect performance quality.
Develop code following the industry's best practices and adhere to the organizational development rules and standards.
Develop and deploy code using existing tools and platforms utilized for automation and testing.
Involved in the evaluation of proposed system acquisitions or solutions development and provides input to the decision-making process relative to compatibility, cost, resource requirements, operations, and maintenance Integrates software components, subsystems, facilities, and services into the existing technical systems environment; assesses the impact on other systems, and works with cross-functional teams within information Services to ensure positive project impact.
Installs configure and verify the operation of software components Participates in the development of standards, design, and implementation of proactive processes to collect and report data and statistics on assigned systems Participates in the research, design, development, and implementation of application, database, and interface using technologies platforms provided.
Researching, designing, implementing, and managing programs Fix problems arising across the test cycles and continuously improve the quality of deliverables.
Reference and document each phase of development for further reference and maintenance operation.
Should be able to lead and guide Developers in the team by providing technical assistance.
Requirements: Education/Skills Bachelor’s degree in Computer Science, Engineering, Math or related field Software Development Life Cycle and process Algorithm and Data Structure Critical and analytical thinking skills Understanding of programming principles and design Strong technical knowledge of Enterprise Application/Integration Design and Development of systems, databases, operating systems and Information Services.
Must have strong communication skills and ability to develop and present solutions to superiors.
Must be able to solve complex problems.
Must be able to interact effectively and patiently with customers especially while under pressure.
Ability to work on multiple projects/tasks simultaneously to meet project deadlines as required.
Ability to establish and maintain positive working relationships with other employees.
Experience 7+ years’ experience in corporate systems environments required.
Minimum of seven (7) years development experience in a corporate environment Working experience in Design, coding and deployment.
Knowledge of industry standard WEB platforms (.NET/C#), Automation (RPA and Test Automation), Microsoft Internet Information Server, Linux, Apache, Unix, Microsoft Foundation Server.
Experience working with Internal or External customers for an organization in coordinating work and designing solutions.
Experience utilizing the Software Development Lifecycle (SDLC), Agile and Waterfall Methodologies Work Schedule: 8AM
- 5PM Monday-Friday Work Type: Full Time
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
About tvScientific
tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.
As a Senior Data Engineer at tvScientific, you will be a key player in implementing the robust data infrastructure to power our data-heavy company. You will collaborate with our cross-functional teams to evolve our core data pipelines, design for efficiency as we scale, and store data in optimal engines and formats. This is an individual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization.
What you'll do:
- Implement robust data infrastructure in AWS, using Spark with Scala
- Evolve our core data pipelines to efficiently scale for our massive growth
- Store data in optimal engines and formats
- Collaborate with our cross-functional teams to design data solutions that meet business needs
- Built out fault-tolerant batch and streaming pipelines
- Leverage and optimize AWS resources while designing for scale
- Collaborate closely with our Data Science and Product teams
- How we'll define success:
- Successful implementation of scalable and efficient data infrastructure
- Timely delivery and optimization of data assets and APIs
- High attention to detail in implementation of automated data quality checks
- Effective collaboration with cross-functional teams
What we're looking for:
- Production data engineering experience
- Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala
- Familiarity with data lakes, cloud warehouses, and storage formats
- Strong proficiency in AWS services
- Expertise in SQL for data manipulation and extraction
- Excellent written and verbal communication skills
- Bachelor's degree in Computer Science or a related field
- Nice-to-Haves
- Experience in adtech
- Experience implementing data governance practices, including data quality, metadata management, and access controls
- Strong understanding of privacy-by-design principles and handling of sensitive or regulated data
- Familiarity with data table formats like Apache Iceberg, Delta
In-Office Requirement Statement:
- We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit ourPinFlexpage to learn more about our working model.
#LI-SM4
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$123,696—$254,667 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
Business Area:
EngineeringSeniority Level:
AssociateJob Description:
At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.
At Cloudera, our Data Services Pillar is the heart of data innovation. We don't just work with technology; we build it. Our mission is to empower data practitioners by creating seamless, enterprise-grade experiences for data engineering, warehousing, streaming, operational databases, and AI.
You will be a key member of the NFQE (Non Functional QE) team that drives the performance reliability of Cloudera's Kuberneteshosted data services. The role blends deep technical knowledge of performance testing, distributed data workloads, and container orchestration with a datadriven mindset. You'll design, automate, run, and analyze performance tests for Cloudera's flagship services, ensuring they meet or exceed customerdefined SLOs/SLAs at scales.
As a Performance Engineer, you will:
Work with internal development teams and the open source community to proactively drive performance improvements/optimizations across our data warehouse and Data Engineering stack.
Work with product managers, developers and the field team to understand performance and scale requirements, and develop benchmarks based on these requirements.
Develop automation to execute benchmarks, collect and aggregate metrics and profiles, and report results, trends, and regressions.
Analyze performance and scalability characteristics to identify bottlenecks in large-scale distributed systems.
Perform root cause analysis of performance issues identified by internal testing and from customers and suggest corrective actions.
Evaluate performance of systems and provide related guidance to the team.
We are excited about you if you have:
3 + years of industry experience in performance-related work, ideally on large-scale distributed systems
Understanding of DBMS algorithms and data structure fundamentals.
Understanding of hardware trends and full-stack systems performance: CPU, RAM, storage, network, Linux kernel, JVM, and distributed systems performance.
Understanding of performance analysis tools and techniques.
Strong design, coding skills, and test automation skills (Java/C++/Golang/Python preferred)
Knowledge of relevant frameworks, cloud provider knowledge, K8s, etc.
Ability to work in a distributed setting with team members spread in multiple geographies
Demonstrated ability to work on large cross-functional projects, including strong written communication skills and a collaborative mindset, as you will be working with many teams inside and outside of Cloudera.
Experience with benchmark and performance test design. You eshould understand basic concepts of performance testing including different types of performance tests (microbenchmarks, end-to-end benchmarks, concurrency and scale testing), how to reduce (or deal with) noise in test results, etc.
Experience designing performance tests that provide useful insights into specific aspects of performance.
Solid understanding of basic performance theory - in particular a very good understanding of latency, throughput, and concurrency and how they relate to each other.
Strong understanding of the types of workloads they'll be testing Ideally they should have specific experience creating performance tests for the specific product area they'll be working on (SQL, ML, etc).
B.S. or M.S. in Computer Science or equivalent experience.
You might also have:
Experience with the Hadoop ecosystem (i.e. Hive, Impala, Spark), in specific Prior work on largescale data lakehouse or datawarehouse performance
Hands-on experience with containerization, Kubernetes, public cloud infrastructure (AWS, Azure and/or GCP) and mesh-networks
Certifications: CKA/CKAD, AWS Solutions Architect, GCP Cloud Architect, Azure Solutions Architect, or equivalent.
Security & Compliance: Experience writing performance tests that also verify dataprivacy and audit compliance (e.g., GDPR, HIPAA).
Why this role matters:
This is your opportunity to build cloud-native solutions that are deployable anywhere whether in massive clusters on any cloud provider or in private data centers. You'll work with cutting-edge technologies like Trino, Spark, Airflow, and advanced AI inferencing systems to shape the future of analytics. Your code will directly influence how data engineers, analysts, and developers worldwide find value in their data.
We believe in the power of open source. You'll collaborate with project committers, contributing upstream to keep technologies like Apache Hive and Impala evolving. You'll harden these engines for rock-solid security, optimize them for peak performance, and make them effortlessly run across all environments. Join us and help build the trusted, cloud-native platform that powers insights for the most data-intensive companies on the planet.
This position is not eligible for sponsorship.
The expected base salary range for this role in:
California is $124,000 - $155,000
The salary will vary depending on your job-related skills, experience and location.
What you can expect from us:
Generous PTO Policy
Support work life balance with Unplugged Days
Flexible WFH Policy
Mental & Physical Wellness programs
Phone and Internet Reimbursement program
Access to Continued Career Development
Comprehensive Benefits and Competitive Packages
Paid Volunteer Time
Employee Resource Groups
EEO/VEVRAA
#LI-SZ1
#LI-HYBRID
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
About tvScientific
tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.
As aStaff Data Engineer at tvScientific, you will be a key player in implementing the robust data infrastructure to power our data-heavy company. You will collaborate with our cross-functional teams to evolve our core data pipelines, design for efficiency as we scale, and store data in optimal engines and formats.This is anindividual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization.
What you'll do:
- Design and implement robust data infrastructure in AWS, using Spark with Scala
- Evolve our core data pipelines to efficiently scale for our massive growth
- Store data in optimal engines and formats, matching your designs to our performance needs and cost factors
- Collaborate with our cross-functional teams to design data solutions that meet business needs
- Design and implement knowledge graphs, exposing their functionality both via Batch Processing and APIs
- Leverage and optimize AWS resources while designing for scale
- Collaborate closely with our Data Science and Product teams
- How we'll define success:
- Successful design and implementation of scalable and efficient data infrastructure
- Timely delivery and optimization of data assets and APIs
- High attention to detail in implementation of automated data quality checks
- Effective collaboration with cross-functional teams
What we're looking for:
- Production data engineering experience
- Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala
- Experience in delivering significant technical initiatives and building reliable, large scale services
- Experience in delivering APIs backed by relationship-heavy datasets
- Familiarity with data lakes, cloud warehouses, and storage formats
- Strong proficiency in AWS services
- Expertise in SQL for data manipulation and extraction
- Excellent written and verbal communication skills
- Bachelor's degree in Computer Science or a related field
- Nice-to-haves:
- Experience in adtech
- Experience implementing data governance practices, including data quality, metadata management, and access controls
- Strong understanding of privacy-by-design principles and handling of sensitive or regulated data
- Familiarity with data table formats like Apache Iceberg, Delta
- Previous experience building out a Data Engineering function
- Proven experience working closely with Data Science teams on machine learning pipelines
In-Office Requirement Statement:
- We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit ourPinFlexpage to learn more about our working model.
#LI-SM4
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$155,584—$320,320 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
Company Description
PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.
Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.
Our Mission:
We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.
Our Values:
To put Human Experience at the heart of organizations so every person can be seen and understood.
- Energize the customer relationship:Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.
- Success starts with me:Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.
- Commit to learning:Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.
- Dare to innovate:We challenge the status quo with creativity and innovation as our true north.
- Better together:We check our egos at the door. We work together, so we win together.
Duties & Responsibilities
Design and implement processes, systems and automation to streamline the development and deployment of AI solutions.
Architect robust, reliable solutions for specific AI applications using appropriate cloud-based and open source technologies.
Design and automate data pipelines to deliver complex data products to power training and online inference of AI systems.
Deploy ML models, LLMs and GenAI systems into production, ensuring reliability, efficiency, and scalability across cloud or hybrid environments.
Build and maintain robust CI/CD pipelines tailored to ML model lifecycle management, ensuring a streamlined and agile deployment process.
Monitor model performance, identify potential improvements, and integrate feedback loops for continuous learning and adaptation.
Integrate models with chat interfaces and conversational platforms to create responsive, user-centric applications.
Investigate and implement agent-based architectures that support conversational intelligence and interaction modeling.
Collaborate with cross-functional teams to design AI-driven features that enhance user experience and interaction within chat interfaces.
Work closely with data scientists, product managers, and engineers to ensure alignment on project goals, data requirements, and system constraints.
Mentor junior engineers and provide guidance on best practices in ML model development, deployment, and maintenance.
Create and maintain comprehensive documentation for model architectures, code implementations, data workflows, and deployment procedures to ensure reproducibility, transparency, and ease of collaboration.
Technical Skills
Experience with large-scale deployment tools and environments, including Docker, Kubernetes, and cloud platforms like AWS, Azure, or GCP.
Experience deploying and managing a variety of database technologies.
Experience deploying ML models at scale and optimizing models for low-latency, high-availability environments.
Strong programming skills in Python and proficiency in libraries such as NumPy, Pandas, and Scikit-learn.
Experience with data pipelines, ETL processes, and experience with distributed data frameworks like Apache Spark or Dask.
Familiarity with machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
Knowledge of conversational AI, agent-based systems, and chat interface development.
Proven track record in deploying and maintaining ML and AI solutions in a production setting.
Experience with version control (e.g., Git) and CI/CD tools tailored to ML workflows.
Experience with MLOps.
Experience with Databricks is a plus.
Qualifications
Minimum Qualifications
5+ years of experience in platform engineering with a focus on with a focus on data and ML systems.
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Additional Information for US based jobs:
Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.
Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
The expected base salary for this position ranges from $100,000 to $140,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.
All your information will be kept confidential according to EEO guidelines.
Our privacy policy can be found here:legal-privacy/
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
We're seeking an Engineering Manager to build and lead the next generation of Pinterest's big data storage platform. You'll grow and guide a team working with cutting-edge open source technologies-especially Apache Iceberg-operating at exabyte scale to power the data that helps Pinners discover and do what they love.
What you'll do:
- Own the technical vision and long-term roadmap of Pinterest's exabyte data lake storage
- Collaborate with stakeholders and partner teams across the organization to architect data lake storage and metadata management technologies to unlock big data and ML/AI innovations
- Drive engagement and collaboration with open source communities, such as Iceberg, Spark, and Flink, to effectively address our scaling challenges
- Act as a stalwart of technical quality and excellence on the team, ensuring the solutions we deliver have a high level of polish and reliability
What we're looking for:
- Bachelor's degree in a relevant field such as Computer Science, or equivalent experience
- 2+ years of management experience, or 3+ years tech lead experience in a 5+ person team
- 8+ years of relevant industry experience in leading the design of large scale & production distributed systems.
- Deep knowledge with building distributed systems.
- Strong cross-functional collaborator and communicator.
- Strong people development skills.
In-Office Requirement Statement:
- We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
- This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-HYBRID
#LI-AH2
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$177,185—$364,795 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
Company Description
Press Ganey is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.
Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.
Our Mission:
We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.
Our Values:
To put Human Experience at the heart of organizations so every person can be seen and understood.
Energize the customer relationship:Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.
Success starts with me:Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.
Commit to learning:Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.
Dare to innovate:We challenge the status quo with creativity and innovation as our true north.
Better together:We check our egos at the door. We work together, so we win together.
We are seeking an experienced Staff Data Engineer to join our Unified Data Platform team. The ideal candidate will design, develop, and maintain enterprise-scale data infrastructure leveraging Azure and Databricks technologies. This role involves building robust data pipelines, optimizing data workflows, and ensuring data quality and governance across the platform. You will collaborate closely with analytics, data science, and business teams to enable data-driven decision-making.
Duties & Responsibilities:
- Design, build, and optimizedata pipelinesand workflows inAzureandDatabricks, including Data Lake and SQL Database integrations.
- Implement scalableETL/ELT frameworksusingAzure Data Factory,Databricks, andSpark.
- Optimize data structures and queries for performance, reliability, and cost efficiency.
- Drivedata quality and governance initiatives, including metadata management and validation frameworks.
- Collaborate with cross-functional teams to define and implementdata modelsaligned with business and analytical requirements.
- Maintain clear documentation and enforce engineering best practices for reproducibility and maintainability.
- Ensure adherence tosecurity, compliance, and data privacystandards.
- Mentor junior engineers and contribute to establishingengineering best practices.
- SupportCI/CD pipeline developmentfor data workflows using GitLab or Azure DevOps.
- Partner with data consumers to publish curated datasets into reporting tools such asPower BI.
- Stay current with advancements inAzure, Databricks, Delta Lake, and data architecture trends.
Technical Skills:
- Advanced proficiency inAzure 5+ years(Data Lake, ADF, SQL).
- Strong expertise inDatabricks (5+ years),Apache Spark (5+ years), andDelta Lake (5+ years).
- Proficient inSQL (10+ years)andPython (5+ years); familiarity withScalais a plus.
- Strong understanding ofdata modeling,data governance, andmetadata management.
- Knowledge ofsource control (Git),CI/CD, and modern DevOps practices.
- Familiarity withPower BIvisualization tool.
Minimum Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, or related field.
- 7+ yearsof experience in data engineering, with significant hands-on work incloud-based data platforms (Azure).
- Experience buildingreal-time data pipelinesand streaming frameworks.
- Strong analytical and problem-solving skills.
- Proven ability tolead projectsand mentor engineers.
- Excellent communication and collaboration skills.
Preferred Qualifications:
- Master's degree in Computer Science, Engineering, or a related field.
- Exposure tomachine learning integrationwithin data engineering pipelines.
Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Additional Information for US based jobs:
Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.
Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
The expected base salary for this position ranges from $110,000 to $170,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.
All your information will be kept confidential according to EEO guidelines.
Our privacy policy can be found here:legal-privacy/
General Surgery Physician
StartDate: ASAP Available Shifts: Regular 8;On Call Pay Rate: $268.69 - $290.85
This facility is seeking a General Surgery Physician for locum tenens support as they look to fill a current need.
Details and requirements for this opportunity:
- Schedule: Monday - Friday, 8-hour shifts with call rotation
- Job Setting: Indian Health Facility
- Types of Cases: General Surgery
- Credentialing Timeframe: 30+ days
- Any Active State License
Facility Location
Located just north of Window Rock, Fort Defiance is one of Apache County's most charming towns. Beautiful landscapes surround the city, with verdant pastures and striking rock formations. Fort Defiance is rich in Native American history and offers visitors a wealth of cultural education opportunities and hiking and camping experiences just outside city lines.
Job Benefits
AMN Healthcare typically arranges medical or dental malpractice insurance for the contractor providers we match to client opportunities. In addition, our locum tenens can receive highly competitive pay and a dedicated team that handles all travel, lodging, rentals and transportation needs. Additionally, our Physician Mobility initiative decreases the amount of time you must wait to work at a facility where you are presented or have worked from 24 months to 6 months.
About the Company
At AMN Healthcare, we strive to be recognized as the most trusted, innovative, and influential force in helping healthcare organizations provide quality patient care that continually evolves to make healthcare more human, more effective, and more achievable.
AMN Healthcare is a digitally enabled workforce solutions partner focused on solving the biggest challenges affecting healthcare organizations today. We offer a single-partner approach to optimize labor sources, increase operating margins, and provide technologies to expand the reach of care.
Job Title: QA Automation Engineer II
Location: Jersey City, NJ(Hybrid)
Duration: 9+ Months (Extendable)
("US citizens and Green Card Holders and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time.”)
A reasonable, good faith estimate of the minimum and maximum hourly rate on W2 for this position is $55 to $67 with limited benefits.
Job Description:
- 7+ years of proven experience in software quality assurance with a strong focus on test automation.
- 2+ years of experience in testing and validating ETL processes and data workflows, including data integrity, transformation validation, and end-to-end data pipeline testing.
- Strong experience with automation frameworks using Selenium WebDriver with Java or C#.
- Hands-on experience in API and web services testing using automation tools such as Apache JMeter and Rest Assured.
- Experience designing, developing, and maintaining automated test suites for UI, API, and integration testing.
- Experience executing and managing automated test scripts within CI/CD pipelines using tools such as Jenkins and Bamboo.
- Ability to integrate automated test execution into continuous integration and continuous delivery workflows to support automated validation during builds and deployments.
- Experience analyzing test results, troubleshooting failures, and improving reliability of automated test frameworks.
- Good understanding of test orchestration, and automated test reporting in CI/CD environments.
- Good to have: Experience testing applications deployed in cloud environments such as Amazon Web Services.
- Strong collaboration skills with development, DevOps, and QA teams to ensure high-quality software delivery.
Remote working/work at home options are available for this role.
