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Data Engineer jobs at Aspen Dental - 4865 jobs
Assoc Director, Data Scientist
Gilead Sciences, Inc.
Foster City, CA jobs
At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Gilead's AI Research Center(ARC) is looking for a Principal Data Scientist to spearhead the adoption of AI/ML and transform our clinical development processes. This is a pivotal role where you will provide key thought leadership and drive our strategic vision for advanced analytics, with the goal of optimizing clinical trials, enhancing data-driven decision-making, and providing support for Real-World Evidence (RWE), Clinical Pharmacology, and Biomarkers initiatives. You will be a thought leader in applying AI/ML to real-world clinical challenges, taking deep involvement in all stages of technical development-from coding and configuring compute environments to model evaluation, review, and architecture design. You'll work closely with a variety of cross-functional teams, including architects, data engineers, and product managers, to scope, develop, and operationalize our AI-driven applications, with a specific focus on leveraging AI/ML to advance insights within RWE, Clinical Pharmacology, and Biomarkers. Responsibilities: Innovate and Strategize: Spearhead the strategic vision for leveraging AI/ML within clinical development. You'll partner with cross-functional leaders to identify high-impact opportunities and design innovative solutions that transform how we conduct trials and make data-driven decisions. Lead with Expertise: Guide the full lifecycle of machine learning models from initial concept to real-world application. This includes architecting scalable solutions, hands-on algorithm development, and ensuring models are rigorously evaluated and operationalized for use in RWE, Clinical Pharmacology, and Biomarkers. Mentor and Empower: Act as a force multiplier for our data science team. You'll coach and mentor senior and junior data scientists, fostering a culture of technical excellence and continuous learning. Translate and Execute: Serve as a bridge between technical teams and business stakeholders. You'll translate complex business challenges into precise data science problems and, in a product manager-like role, drive the development of these solutions from proof-of-concept to production. Drive Breakthroughs: Research and develop cutting-edge algorithms to solve critical challenges. This could involve using NLP for patient insights, computer vision for biomarker analysis, or predictive models to optimize trial logistics. You'll be at the forefront of applying these techniques in a biotech context. Build the Foundation: Design and implement the technical and process building blocks needed to scale our AI/ML capabilities. This includes working with IT partners to curate and operationalize the datasets essential for fueling our analytical pipelines. Influence and Advise: Interface directly with internal stakeholders, acting as a trusted advisor to help them understand the potential of advanced analytics and apply data-driven approaches to optimize clinical trial operations. Stay Ahead: Continuously monitor the landscape of machine learning and biopharmaceutical innovation. You'll ensure our team is leveraging the latest state-of-the-art techniques to maintain a competitive edge. Technical Skills: Advanced Model Development & Operationalization: Deep expertise in developing, deploying, and managing complex machine learning and deep learning algorithms at scale. This includes a profound understanding of model evaluation, scoring methodologies, and mitigation of model bias to ensure robust, ethical, and reliable outcomes. Data & Computational Proficiency: Fluent in Python or R and SQL, with hands-on experience in building and optimizing data pipelines for analytical and model development purposes. Cloud-Native AI/ML: Demonstrated experience with Cloud DevOps on AWS as it pertains to the entire data science lifecycle, from data ingestion to model serving and monitoring. Translational Research: Proven ability to translate foundational AI/ML research into functional, production-ready packages and applications that directly support strategic initiatives in areas like RWE, Clinical Pharmacology, and Biomarkers. Basic Qualifications: Doctorate and 5+ years of relevant experience OR Master's and 8+ years of relevant experience OR Bachelor's and 10+ years of relevant experience Preferred Qualifications: Ability to translate stakeholder needs into clear technical requirements, including those related to RWE, Clinical Pharmacology, and Biomarkers. Skill in scoping project requirements and developing timelines. Knowledge of product management principles. Experience with code management using Git. Strong technical documentation skills. Join us at the AI Research Center to shape the future of clinical development with groundbreaking AI/ML solutions, and contribute to advancements in RWE, Clinical Pharmacology, and Biomarkers! The salary range for this position is: Bay Area: $210,375.00 - $272,250.00.Other US Locations: $191,250.00 - $247,500.00. At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description Gilead's AI Research Center(ARC) is looking for a Principal Data Scientist to spearhead the adoption of AI/ML and transform our clinical development processes. This is a pivotal role where you will provide key thought leadership and drive our strategic vision for advanced analytics, with the goal of optimizing clinical trials, enhancing data-driven decision-making, and providing support for Real-World Evidence (RWE), Clinical Pharmacology, and Biomarkers initiatives. You will be a thought leader in applying AI/ML to real-world clinical challenges, taking deep involvement in all stages of technical development-from coding and configuring compute environments to model evaluation, review, and architecture design. You'll work closely with a variety of cross-functional teams, including architects, data engineers, and product managers, to scope, develop, and operationalize our AI-driven applications, with a specific focus on leveraging AI/ML to advance insights within RWE, Clinical Pharmacology, and Biomarkers. Responsibilities: Innovate and Strategize: Spearhead the strategic vision for leveraging AI/ML within clinical development. You'll partner with cross-functional leaders to identify high-impact opportunities and design innovative solutions that transform how we conduct trials and make data-driven decisions. Lead with Expertise: Guide the full lifecycle of machine learning models from initial concept to real-world application. This includes architecting scalable solutions, hands-on algorithm development, and ensuring models are rigorously evaluated and operationalized for use in RWE, Clinical Pharmacology, and Biomarkers. Mentor and Empower: Act as a force multiplier for our data science team. You'll coach and mentor senior and junior data scientists, fostering a culture of technical excellence and continuous learning. Translate and Execute: Serve as a bridge between technical teams and business stakeholders. You'll translate complex business challenges into precise data science problems and, in a product manager-like role, drive the development of these solutions from proof-of-concept to production. Drive Breakthroughs: Research and develop cutting-edge algorithms to solve critical challenges. This could involve using NLP for patient insights, computer vision for biomarker analysis, or predictive models to optimize trial logistics. You'll be at the forefront of applying these techniques in a biotech context. Build the Foundation: Design and implement the technical and process building blocks needed to scale our AI/ML capabilities. This includes working with IT partners to curate and operationalize the datasets essential for fueling our analytical pipelines. Influence and Advise: Interface directly with internal stakeholders, acting as a trusted advisor to help them understand the potential of advanced analytics and apply data-driven approaches to optimize clinical trial operations. Stay Ahead: Continuously monitor the landscape of machine learning and biopharmaceutical innovation. You'll ensure our team is leveraging the latest state-of-the-art techniques to maintain a competitive edge. Technical Skills: Advanced Model Development & Operationalization: Deep expertise in developing, deploying, and managing complex machine learning and deep learning algorithms at scale. This includes a profound understanding of model evaluation, scoring methodologies, and mitigation of model bias to ensure robust, ethical, and reliable outcomes. Data & Computational Proficiency: Fluent in Python or R and SQL, with hands-on experience in building and optimizing data pipelines for analytical and model development purposes. Cloud-Native AI/ML: Demonstrated experience with Cloud DevOps on AWS as it pertains to the entire data science lifecycle, from data ingestion to model serving and monitoring. Translational Research: Proven ability to translate foundational AI/ML research into functional, production-ready packages and applications that directly support strategic initiatives in areas like RWE, Clinical Pharmacology, and Biomarkers. Basic Qualifications: Doctorate and 5+ years of relevant experience OR Master's and 8+ years of relevant experience OR Bachelor's and 10+ years of relevant experience Preferred Qualifications: Ability to translate stakeholder needs into clear technical requirements, including those related to RWE, Clinical Pharmacology, and Biomarkers. Skill in scoping project requirements and developing timelines. Knowledge of product management principles. Experience with code management using Git. Strong technical documentation skills. Join us at the AI Research Center to shape the future of clinical development with groundbreaking AI/ML solutions, and contribute to advancements in RWE, Clinical Pharmacology, and Biomarkers! The salary range for this position is: Bay Area: $210,375.00 - $272,250.00.Other US Locations: $191,250.00 - $247,500.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans*. For additional benefits information, visit: ****************************************************************** * Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans. For jobs in the United States: Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex , age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact ApplicantAccommodations@gilead.com for assistance. For more information about equal employment opportunity protections, please view the 'Know Your Rights' poster. NOTICE: EMPLOYEE POLYGRAPH PROTECTION ACT YOUR RIGHTS UNDER THE FAMILY AND MEDICAL LEAVE ACT PAY TRANSPARENCY NONDISCRIMINATION PROVISION Our environment respects individual differences and recognizes each employee as an integral member of our company. Our workforce reflects these values and celebrates the individuals who make up our growing team. Gilead provides a work environment free of harassment and prohibited conduct. We promote and support individual differences and diversity of thoughts and opinion. For Current Gilead Employees and Contractors: Please apply via the Internal Career Opportunities portal in Workday. Share: Job Requisition ID R0046852 Full Time/Part Time Full-Time Job Level Associate Director Click below to return to the Gilead Careers site Click below to see a list of upcoming events Click below to return to the Kite, a Gilead company Careers site #J-18808-Ljbffr$210.4k-272.3k yearly 3d agoData Scientist
Everfit
San Jose, CA jobs
Data Scientist Everfit | Hybrid, San Francisco Bay Area Everfit is a fitness technology company building an AI-powered coaching platform that serves 280,000+ coaches and Millions of training clients globally. We're transforming how fitness professionals deliver personalized training and nutrition guidance to their clients through intelligent automation and data-driven insights. About the Role We're looking for a senior data scientist who is passionate about fitness and energized by turning data into actionable insights that help coaches and their clients succeed. You'll play a critical role in understanding user behavior, product performance, and business metrics to inform strategic decisions as we scale our platform. What You'll Do Product Analytics & User Insights Define and track key product metrics (activation, engagement, retention, churn) to measure product health and success. Conduct cohort, funnel, and retention analyses to uncover behavioral insights and inform feature prioritization. Identify opportunities to improve onboarding, engagement, and coach-client interactions. Experimentation & A/B Testing Own the experimentation framework and guide teams through hypothesis design, sample sizing, execution, and interpretation. Strategic Impact & Roadmapping Collaborate with leadership to translate data insights into roadmap priorities and measurable business outcomes. Build predictive models and scenario analyses to support forecasting, pricing, and product investment decisions. Establish best practices in data instrumentation, dashboarding, and self-serve analytics across teams. Technical Foundations Partner with data engineering to improve pipelines and instrumentation. Leverage tools such as SQL, Python/R, data visualization platforms, and experimentation platforms. Marketing Analytics & Optimization Analyze customer acquisition funnels and marketing performance to identify high-impact opportunities for growth and conversion. Partner with marketing and growth teams to design and evaluate campaign experiments What We're Looking For 4-6 years of experience in a data analyst or analytics role, preferably at a growth-stage tech company Strong proficiency in SQL and experience setting up data pipelines, transforming data, and analyzing large datasets Deep experience with creating dashboards and providing analysis on product analytics and data visualization tools (Amplitude, Looker, Tableau, Mode, or similar) Understanding of SaaS metrics and cohort analysis Experience with translating numerical findings into clear insights for non-technical team members Genuine passion for fitness, health, or wellness (we build for coaches so you need to understand their world) Bonus Points: Experience with Python or R for statistical analysis Experience in a PLG (Product-Led Growth) environment Experience working at a company during a hypergrowth phase Background in fitness, health, wellness, or coaching industries You'll thrive here if you: Are naturally curious and love asking "why" until you find the answer Are excited by fast-paced, high-growth environments with a passion for building out systems for scaling Enjoy collaborating with global teams and making complex topics understandable Are comfortable with ambiguity and can structure your own work Care deeply about the impact your insights have on real coaches and their clients Why Join Everfit Establish the foundations for Fitness Intelligence and help shape the future of coaching for millions around the world Work with autonomy and ownership on high-impact projects Join a collaborative, global team with experience from leading tech and fitness companies Enjoy competitive salary, equity, and performance bonuses Build something meaningful that helps people live better, healthier lives Everfit is an equal opportunity employer committed to building a diverse and inclusive team. We make employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected status. Ready to dive into data in the fitness intelligence space? We'd love to hear from you.$122k-168k yearly est. 3d agoData Scientist
Everfit
San Francisco, CA jobs
Data Scientist Everfit | Hybrid, San Francisco Bay Area Everfit is a fitness technology company building an AI-powered coaching platform that serves 280,000+ coaches and Millions of training clients globally. We're transforming how fitness professionals deliver personalized training and nutrition guidance to their clients through intelligent automation and data-driven insights. About the Role We're looking for a senior data scientist who is passionate about fitness and energized by turning data into actionable insights that help coaches and their clients succeed. You'll play a critical role in understanding user behavior, product performance, and business metrics to inform strategic decisions as we scale our platform. What You'll Do Product Analytics & User Insights Define and track key product metrics (activation, engagement, retention, churn) to measure product health and success. Conduct cohort, funnel, and retention analyses to uncover behavioral insights and inform feature prioritization. Identify opportunities to improve onboarding, engagement, and coach-client interactions. Experimentation & A/B Testing Own the experimentation framework and guide teams through hypothesis design, sample sizing, execution, and interpretation. Strategic Impact & Roadmapping Collaborate with leadership to translate data insights into roadmap priorities and measurable business outcomes. Build predictive models and scenario analyses to support forecasting, pricing, and product investment decisions. Establish best practices in data instrumentation, dashboarding, and self-serve analytics across teams. Technical Foundations Partner with data engineering to improve pipelines and instrumentation. Leverage tools such as SQL, Python/R, data visualization platforms, and experimentation platforms. Marketing Analytics & Optimization Analyze customer acquisition funnels and marketing performance to identify high-impact opportunities for growth and conversion. Partner with marketing and growth teams to design and evaluate campaign experiments What We're Looking For 4-6 years of experience in a data analyst or analytics role, preferably at a growth-stage tech company Strong proficiency in SQL and experience setting up data pipelines, transforming data, and analyzing large datasets Deep experience with creating dashboards and providing analysis on product analytics and data visualization tools (Amplitude, Looker, Tableau, Mode, or similar) Understanding of SaaS metrics and cohort analysis Experience with translating numerical findings into clear insights for non-technical team members Genuine passion for fitness, health, or wellness (we build for coaches so you need to understand their world) Bonus Points: Experience with Python or R for statistical analysis Experience in a PLG (Product-Led Growth) environment Experience working at a company during a hypergrowth phase Background in fitness, health, wellness, or coaching industries You'll thrive here if you: Are naturally curious and love asking "why" until you find the answer Are excited by fast-paced, high-growth environments with a passion for building out systems for scaling Enjoy collaborating with global teams and making complex topics understandable Are comfortable with ambiguity and can structure your own work Care deeply about the impact your insights have on real coaches and their clients Why Join Everfit Establish the foundations for Fitness Intelligence and help shape the future of coaching for millions around the world Work with autonomy and ownership on high-impact projects Join a collaborative, global team with experience from leading tech and fitness companies Enjoy competitive salary, equity, and performance bonuses Build something meaningful that helps people live better, healthier lives Everfit is an equal opportunity employer committed to building a diverse and inclusive team. We make employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected status. Ready to dive into data in the fitness intelligence space? We'd love to hear from you.$123k-169k yearly est. 3d agoData Scientist
Everfit
Santa Rosa, CA jobs
Data Scientist Everfit | Hybrid, San Francisco Bay Area Everfit is a fitness technology company building an AI-powered coaching platform that serves 280,000+ coaches and Millions of training clients globally. We're transforming how fitness professionals deliver personalized training and nutrition guidance to their clients through intelligent automation and data-driven insights. About the Role We're looking for a senior data scientist who is passionate about fitness and energized by turning data into actionable insights that help coaches and their clients succeed. You'll play a critical role in understanding user behavior, product performance, and business metrics to inform strategic decisions as we scale our platform. What You'll Do Product Analytics & User Insights Define and track key product metrics (activation, engagement, retention, churn) to measure product health and success. Conduct cohort, funnel, and retention analyses to uncover behavioral insights and inform feature prioritization. Identify opportunities to improve onboarding, engagement, and coach-client interactions. Experimentation & A/B Testing Own the experimentation framework and guide teams through hypothesis design, sample sizing, execution, and interpretation. Strategic Impact & Roadmapping Collaborate with leadership to translate data insights into roadmap priorities and measurable business outcomes. Build predictive models and scenario analyses to support forecasting, pricing, and product investment decisions. Establish best practices in data instrumentation, dashboarding, and self-serve analytics across teams. Technical Foundations Partner with data engineering to improve pipelines and instrumentation. Leverage tools such as SQL, Python/R, data visualization platforms, and experimentation platforms. Marketing Analytics & Optimization Analyze customer acquisition funnels and marketing performance to identify high-impact opportunities for growth and conversion. Partner with marketing and growth teams to design and evaluate campaign experiments What We're Looking For 4-6 years of experience in a data analyst or analytics role, preferably at a growth-stage tech company Strong proficiency in SQL and experience setting up data pipelines, transforming data, and analyzing large datasets Deep experience with creating dashboards and providing analysis on product analytics and data visualization tools (Amplitude, Looker, Tableau, Mode, or similar) Understanding of SaaS metrics and cohort analysis Experience with translating numerical findings into clear insights for non-technical team members Genuine passion for fitness, health, or wellness (we build for coaches so you need to understand their world) Bonus Points: Experience with Python or R for statistical analysis Experience in a PLG (Product-Led Growth) environment Experience working at a company during a hypergrowth phase Background in fitness, health, wellness, or coaching industries You'll thrive here if you: Are naturally curious and love asking "why" until you find the answer Are excited by fast-paced, high-growth environments with a passion for building out systems for scaling Enjoy collaborating with global teams and making complex topics understandable Are comfortable with ambiguity and can structure your own work Care deeply about the impact your insights have on real coaches and their clients Why Join Everfit Establish the foundations for Fitness Intelligence and help shape the future of coaching for millions around the world Work with autonomy and ownership on high-impact projects Join a collaborative, global team with experience from leading tech and fitness companies Enjoy competitive salary, equity, and performance bonuses Build something meaningful that helps people live better, healthier lives Everfit is an equal opportunity employer committed to building a diverse and inclusive team. We make employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected status. Ready to dive into data in the fitness intelligence space? We'd love to hear from you.$124k-169k yearly est. 3d agoData Scientist
Everfit
Fremont, CA jobs
Data Scientist Everfit | Hybrid, San Francisco Bay Area Everfit is a fitness technology company building an AI-powered coaching platform that serves 280,000+ coaches and Millions of training clients globally. We're transforming how fitness professionals deliver personalized training and nutrition guidance to their clients through intelligent automation and data-driven insights. About the Role We're looking for a senior data scientist who is passionate about fitness and energized by turning data into actionable insights that help coaches and their clients succeed. You'll play a critical role in understanding user behavior, product performance, and business metrics to inform strategic decisions as we scale our platform. What You'll Do Product Analytics & User Insights Define and track key product metrics (activation, engagement, retention, churn) to measure product health and success. Conduct cohort, funnel, and retention analyses to uncover behavioral insights and inform feature prioritization. Identify opportunities to improve onboarding, engagement, and coach-client interactions. Experimentation & A/B Testing Own the experimentation framework and guide teams through hypothesis design, sample sizing, execution, and interpretation. Strategic Impact & Roadmapping Collaborate with leadership to translate data insights into roadmap priorities and measurable business outcomes. Build predictive models and scenario analyses to support forecasting, pricing, and product investment decisions. Establish best practices in data instrumentation, dashboarding, and self-serve analytics across teams. Technical Foundations Partner with data engineering to improve pipelines and instrumentation. Leverage tools such as SQL, Python/R, data visualization platforms, and experimentation platforms. Marketing Analytics & Optimization Analyze customer acquisition funnels and marketing performance to identify high-impact opportunities for growth and conversion. Partner with marketing and growth teams to design and evaluate campaign experiments What We're Looking For 4-6 years of experience in a data analyst or analytics role, preferably at a growth-stage tech company Strong proficiency in SQL and experience setting up data pipelines, transforming data, and analyzing large datasets Deep experience with creating dashboards and providing analysis on product analytics and data visualization tools (Amplitude, Looker, Tableau, Mode, or similar) Understanding of SaaS metrics and cohort analysis Experience with translating numerical findings into clear insights for non-technical team members Genuine passion for fitness, health, or wellness (we build for coaches so you need to understand their world) Bonus Points: Experience with Python or R for statistical analysis Experience in a PLG (Product-Led Growth) environment Experience working at a company during a hypergrowth phase Background in fitness, health, wellness, or coaching industries You'll thrive here if you: Are naturally curious and love asking "why" until you find the answer Are excited by fast-paced, high-growth environments with a passion for building out systems for scaling Enjoy collaborating with global teams and making complex topics understandable Are comfortable with ambiguity and can structure your own work Care deeply about the impact your insights have on real coaches and their clients Why Join Everfit Establish the foundations for Fitness Intelligence and help shape the future of coaching for millions around the world Work with autonomy and ownership on high-impact projects Join a collaborative, global team with experience from leading tech and fitness companies Enjoy competitive salary, equity, and performance bonuses Build something meaningful that helps people live better, healthier lives Everfit is an equal opportunity employer committed to building a diverse and inclusive team. We make employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected status. Ready to dive into data in the fitness intelligence space? We'd love to hear from you.$122k-168k yearly est. 3d agoFounding Engineer
Rockland
San Francisco, CA jobs
Rockland - We build technology to advance impactful work Medicaid is America's most complex health insurer, serving some of the country's highest-need populations, and frontline teams are poorly equipped to navigate its complexity. The result is lower quality of care, wasted resources, and burnt out teams. We are building Rockland, an AI-native, MSO-lite platform to solve these problems by helping Medicaid-serving providers automate workflows, recover lost revenue, and improve quality of care. Co-Founder & CEO Bennett Hauser brings deep early-stage operating and founding experience, with a passion for building products that simplify complex workflows. Rockland was formed in partnership with founding board members Sander Duncan - a seasoned healthcare investor and operator - and Alex Tonelli, co-founder of Funding Circle (IPO) and first investor in Collective Medical (major sale). About The Role We seek a highly driven Founding Engineer to help build Rockland's Medicaid product from the ground up. You'll work directly with engineering and product leadership to build and ship the initial platform, support foundational technical decisions, and turn early customer needs into functional software. You will be in a hands-on, individual contributor role, and will be integral to shaping the future of the Rockland Medicaid offerings. You will: Collaborate closely with the CEO, Engineering, & Product leadership to translate business requirements and PRDs into shipped product Design and build core systems across the tech stack, from data models and APIs to user-facing workflows Apply frontier AI tools (e.g., LLMs and automation frameworks) to design and ship pragmatic solutions that reduce manual, repetitive workflows Drive continuous improvement in engineering processes, tools, best practices, and methodologies Explore and understand new technologies to help Rockland maintain a competitive edge and enhance our platform's capabilities Debug, maintain, and improve core technical systems as they evolve and grow About You This is a high-impact role for someone who is passionate about building transformative technology in a fast-paced, mission-driven environment. You bring a strong balance of technical expertise, flexibility, and execution velocity alongside a strong bias toward action. You are experienced at building external-facing products from the ground up, and crave the scrappy nature and ambiguity of 0 to 1 building. You have: Minimum 4-8 years of experience in software engineering, with significant time spent on building production-ready products in AI, healthcare, or SaaS Strong full-stack development experience and the ability to work comfortably across unfamiliar parts of the system when needed A track record of shipping complex features or systems in fast-moving environments Familiarity with frontier AI/ML tools or platforms, with a strong curiosity to learn and adapt quickly as new technology becomes available San Francisco co-location is preferred but not required$100k-138k yearly est. 3d agoForward Deployed Engineer (FDE)
Adapt
San Francisco, CA jobs
Adapt is the AI computer for business. Our mission is to help every company become instantly AI native through providing the most powerful and accessible experience for every job function to collaborate with frontier agents. Everyone in the company - from sales to marketing to business operations - can use Adapt to answer questions, build on-demand dashboards, automate workflows, or build entire applications using the context of their business and the best intelligence available. About the Role The Forward Deployed Engineer ensures companies can instantly become AI-native using Adapt. They act as technical thought partners to operators, helping them design and deploy complex workflows that automate their most critical business processes. They bridge the gap between our platform's capabilities and our customers' unique operational needs. We are seeking a product-minded Engineer to accelerate the adoption of Adapt within the startup ecosystem. You will work with some of the world's most innovative companies, guiding them from initial onboarding to full-scale automation of their operations. You will not just support the product-you will architect the "Ask, Understand, Act" workflows that allow lean teams to punch above their weight. You will collaborate closely with Sales, Product, and Engineering to deliver high-fidelity feedback from the field, shaping the future of our universal intelligence platform. In this role, you will: Architect AI Workflows: Partner with startup founders to map their manual processes and translate them into automated Adapt workflows across tools like Linear, Salesforce, and Snowflake. Drive Technical Success: Lead hands‑on implementation sessions, ensuring customers successfully connect their data sources and achieve "instant action" capabilities. Scale the Ecosystem: Create repeatable playbooks, template libraries, and technical guides that enable the broader startup community to self‑serve and innovate on Adapt. Shape the Product: Synthesize technical requirements and edge cases from early‑stage customers to drive prioritization in the Product and Engineering roadmaps. Build Custom Solutions: Prototype and deploy custom connectors or scripts to solve novel customer challenges, demonstrating what's possible with the Adapt platform. You'll thrive in this role if you: Have 5+ years of experience in Software Engineering. Have a deep understanding of the B2B SaaS stack (CRM, Data Warehouses, DevTools) and how they interoperate. Are a "builder" who loves hacking on new tools and automating your own workflows. Can communicate complex technical concepts to both engineering leaders and non‑technical founders. Operate with high urgency and thrive in an ambiguous, fast‑paced startup environment. #J-18808-Ljbffr$48k-60k yearly est. 2d agoETL Architect - Snowflake and SSIS Experience
Northeast Georgia Health System
Remote
Job Category: Administrative & Clerical Work Shift/Schedule: 8 Hr Morning - Afternoon Northeast Georgia Health System is rooted in a foundation of improving the health of our communities. ETL Architect is a high-level business intelligence professional that is a key part of the Data and Analytics Team and will be generally responsible for the dimensional model design, end to end ETL architecture design, ETL development, and implementation of data models and development of the Data Migration and Data Warehousing solutions. The ETL Architect is also responsible for requirements analysis, source data profiling, identifying data quality issues, designing transformation logic to address data quality issues, experienced with the concepts and/or implementation of metadata data capture, data lineage, master data management and reference data management. The ETL architect designs for data warehouse/data mart solutions should include appropriate staging databases to handle change data capture on the source data, error handling and audit balance control mechanisms. The ETL Architect will have extensive interaction with operational team members and leadership, and will be tasked with analysis of business data and analytics requirements, and the transformation of those requirements into analytics solutions. Working with customers and Management to determine priorities as well mentoring of other team members on ETL concepts and strategies is also an integral role of the position. Working with Infrastructure and DBA team members, ETL Architect is also responsible for keeping the ETL Environments updated periodically to the latest version of the ETL software. Minimum Job Qualifications Licensure or other certifications: Epic Revenue or Clinical Data Model or Cogito Project Manager Certificate required (must be obtained within 6 months of date of hire). Educational Requirements: Bachelors Degree in Computer Science or related field. In lieu of Bachelor's Degree related experience in the field, 11 years progressively responsible, professional job specific work experience and an equivalent combination of education and training that provides the required knowledge, skills and abilities, combined with demonstrated professional growth and achievement. Minimum Experience: A minimum of seven (7) years experience as a various BI and other analytic reporting software applications with strong preference for EPIC, SQL, and Crystal Report Writing. Prior experience providing production level support and/or development in business intelligence (BI)/enterprise data warehouse (EDW) environments. Other: Preferred Job Qualifications Preferred Licensure or other certifications: Preferred Educational Requirements: Preferred Experience: Experience in database development and management tasks such as creating indexes, functions, stored procedures, creating databases, file groups, users, configuring permissions and assigning roles to users. Working knowledge of data warehouse concepts, enterprise data management, modeling techniques and ability to create solutions, participate in strategy discussions and review them with customer as well as project stakeholders. Other: Job Specific and Unique Knowledge, Skills and Abilities Strong analytical and interpersonal skills; demonstrated ability to work with management and customers; proven ability to work independently or as a team member; strong problem solving and troubleshooting skills; initiative in enhancing system productivity, functionality, and performance. Advanced understanding of Data Migration/Data Warehousing/Data Mart delivery life cycle, from requirements definition to creating source to target mapping documents with transformation rules, Error handling design, data quality, design audit Balance control mechanisms to be able to automate jobs, notify proactively failures, write test cases and create templates to document all aspects of the projects throughout the lifecycle. Strong experience with concepts of data profiling, identifying and measuring data quality issues, advanced experience with Master data and reference data management techniques to eliminate hard coding within the ETL processes/jobs. Excellent communication (written, verbal and presentation) and people-facing skills, Proven ability to maintain positive peer, customer relationships, interacting positively and productively with teams across organizational lines. Demonstrates skills in leadership, critical thinking, and consensus and relationship building. Ability to review, re-engineer and/or tune legacy SQL queries and/or ETL jobs/processes to make them run efficiently and within a load window. Must be able to function in dynamic environment subject to changes in schedules and priorities, working on multiple projects/ issues concurrently. Responsibilities may require evening and weekend work in response to needs of the systems supported. Experience in estimation, specification gathering, review code/designs, general planning for execution, monitoring and control. Hands-on with ability to design, re-design (schemas, data models, entity relationships etc.), and probe and guide developers. Possess a solid understanding of data warehousing concepts, including relational and multidimensional modeling. Experience in designing, building, testing, executing and performance tuning of ETL and reporting applications, including automation of ETL jobs for recurring imports; fluent in Microsoft SQL. Experience in designing and developing database objects, tables, stored procedures, views, and triggers. Essential Tasks and Responsibilities Designs end to end ETL architecture for Data Migration, Data Warehousing or Data Mart Solutions using Microsoft SSIS tool. Ensure all ETL Jobs have adequate error handling and audit balance control mechanisms implemented to enable automation. Stands up a DW/ETL Center of Excellence to document and enforce best practices, standards, naming conventions etc. Creates a checklist to review all solutions developed to ensure adherence to the CoE standards. Mentors and trains staff to hold periodic CoE meetings. Implement a reference data management system using tools like Microsoft Master Data Management Services to eliminate hardcoding in ETL jobs. Maintains a service oriented approach with customers, providing follow up and responding to issues/ concerns in a timely manner. Answer staff and client questions in person, via email and via phone. Provide after-hours on-call support on a scheduled basis. Responsible for ensuring service level agreement adherence. Works with staff to adhere to department/organization policies and procedures, compliance and regulatory agency requirements. Works with leaders in IT as well as operations to identify data from other source systems to form richer data sets, including the capture of derived data to address gaps in source system repositories. Promotes and utilizes the data request and development process, including the development of an understanding of a data request, assessment of the appropriate tool to be used to provide the data, creation of a requirements document in partnership with the operational stakeholder and application analyst, development of the data extract and validation of the extract by the operational stakeholder to ensure quality, timeliness and accountability. Participates in and contributes to the data governance program - specifically, validating data lineage, capturing metadata for all existing and any newly developed assets (ETL Jobs), profile various data sources and address data quality issues, work with source system owners to reduce upstream data entry errors. Assists with all upgrade, update or enhancement efforts associated with the ETL tool. In partnership with the Manager of Business Intelligence and Analytics, serves as a mentor and advisor to the BI technical resources and other analysts and provides general project management skills to produce BI views that address customer's needs. Builds and maintains SQL scripts, indexes and complex queries for data analysis and extraction. Troubleshoots problems regarding the databases, applications, and development tools. Assists with the development and implementation of new data sources into the data warehouse or determine ways to be able to utilize data in other systems to support data and analytics for the organization. Conducts or coordinate tests to ensure that intelligence is consistent with defined needs. Responsible for data collection/extraction and developing methods for database design and validation reports. Prepares and maintains key documents and technical specifications for new and existing solutions. Documents specifications for business intelligence or information technology (IT) reports, dashboards, or other outputs. In collaboration with other team members and leadership, supports the evaluation, adoption and implementation of new methods, tools and technologies in order to meet current gaps in the organization-wide data and analytics infrastructure. Works closely with end-users to identify and explain data and reporting discrepancies. Prepares and maintains key documents and technical specifications for new and existing solutions. Provides solution design, perform reviews and participate strategic discussions. Provides application analysis and data modeling design to collect data or to extract data from various disparate systems. Monitors incident management queue. Efficiently troubleshoot, resolve, report and close active issues. Works on additional assignments as delegated by management. Physical Demands Weight Lifted: Up to 20 lbs, Occasionally 0-30% of time Weight Carried: Up to 20 lbs, Occasionally 0-30% of time Vision: Moderate, Frequently 31-65% of time Kneeling/Stooping/Bending: Occasionally 0-30% Standing/Walking: Frequently 31-65% Pushing/Pulling: Occasionally 0-30% Intensity of Work: Occasionally 0-30% Job Requires: Reading, Writing, Reasoning, Talking, Keyboarding, Driving Working at NGHS means being part of something special: a team invested in you as a person, an employee, and in helping you reach your goals. NGHS: Opportunities start here. Northeast Georgia Health System is an Equal Opportunity Employer and will not tolerate discrimination in employment on the basis of race, color, age, sex, sexual orientation, gender identity or expression, religion, disability, ethnicity, national origin, marital status, protected veteran status, genetic information, or any other legally protected classification or status.$91k-119k yearly est. Auto-Apply 2d agoSr. Data Engineer
Alignment Healthcare
Orange, CA jobs
Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together. Alignment Healthcare is a data and technology driven healthcare company focused on partnering with health systems, health plans and provider groups to provide care delivery that is preventive, convenient, coordinated, and that results in improved clinical outcomes for seniors. We are experiencing rapid growth (backed by top private equity firms), our Data Services and BI team is looking for the best and brightest Sr. Data Engineer. Data drives the way we make decisions. We love our customers and understanding them better makes it possible to provide the best clinical outcome and care experience. We are currently seeking a Sr. Data Engineer for Data & Business Intelligence team. This position will play a key role in design and development of cloud-based BI and Analytics services using Microsoft BI Platform, Microsoft Azure cloud services. General Duties/Responsibilities (May include but are not limited to): Translate business requirements into specifications that will be used to implement the required reports and dashboards. Work with business units to gather requirements, development and delivery of business intelligence & reporting services and lead end to end Data delivery. Develops and implements business intelligence & analytics to support organizational initiatives. Build rich and dynamic dashboards using out-of-box features, customizations, and visualizations. Design and publish custom dashboards for business functions, stakeholders, and corporate users around the company. Design, model, develop & optimize stored procedures to meet data management and data reporting objectives. Design and model data flows and ETL procedures ensuring data quality and integrity. Troubleshoot and resolve issues with the processes used and the content produced by the BI platform. Provide ongoing maintenance support through troubleshooting, report modifications and optimization. Supervisory Responsibilities: N/A Minimum Requirements: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Minimum Experience: 5+ years of professional experience in Data Engineering / ETL development & Reporting services. 5+ years of experience with BI/Reporting software products (MSBI) and knowledge of Healthcare Industry standards and requirements. 5+ years of database experience with MS SQL Server. Write efficient Azure SQL queries and stored procedures for high-performance data processing. 5+ years of experience in healthcare industry with proven understanding of data terminology. Healthcare Experience and Clear understanding & working knowledge of HIPAA protocols. Extensive hands-on experience with Microsoft's Power-BI/SSRS/Azure Data Factory (ADF)and other cloud-based BI and Reporting services. Extensive experience in Advance Analytics tools like -Azure ML, CRAN R Library, Azure Functions, Azure Cognitive Services. o Extensive hands-on experience with Big Data platforms (Databricks, Spark, Hadoop, Python or similar) to process and transform large datasets is a plus. o Experience with Azure, AWS or GCP is a plus. Experience with DevOps pipelines and CI/CD. Education/Licensure: BS in Computer Science, IT or equivalent and/or equivalent experience. o Microsoft Azure Certification is a plus. Other: Demonstrated ability to build partnerships and maintain cohesive relationships. Demonstrated ability planning, organizing, and executing multiple complex analytics projects. Ability to effectively present information and respond to questions from groups of managers and customers. Excellent human relations and verbal/written communication skills. Clear understanding & working knowledge of HIPAA protocols. Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Essential Physical Functions: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms. The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus. Alignment Healthcare, LLC is proud to practice Equal Employment Opportunity and Affirmative Action. We are looking for diversity in qualified candidates for employment: Minority/Female/Disable/Protected Veteran. If you require any reasonable accommodation under the Americans with Disabilities Act (ADA) in completing the online application, interviewing, completing any pre-employment testing or otherwise participating in the employee selection process, please contact ****************** . Pay Range: $130,332.00 - $195,498.00 Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc. Alignment Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity, or sexual orientation. *DISCLAIMER: Please beware of recruitment phishing scams affecting Alignment Health and other employers where individuals receive fraudulent employment-related offers in exchange for money or other sensitive personal information. Please be advised that Alignment Health and its subsidiaries will never ask you for a credit card, send you a check, or ask you for any type of payment as part of consideration for employment with our company. If you feel that you have been the victim of a scam such as this, please report the incident to the Federal Trade Commission at ******************************* If you would like to verify the legitimacy of an email sent by or on behalf of Alignment Health's talent acquisition team, please email ******************.$130.3k-195.5k yearly Auto-Apply 57d agoData Engineer
Alignment Healthcare
Orange, CA jobs
Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together. We are currently seeking a Data Engineer to be part of the Data Engineering team. This position will design and develop an ingestion process for big data processing. General Duties/Responsibilities (May include but are not limited to): Translates business requirements into specifications that will be used to implement the Data ingestion process. Understands the requirements, development and delivery of data solutions and lead end to end delivery. Develops and implements data pipelines to support organizational initiatives. Builds and maintains ETL (Extract, Transform, Load) or ELT (Extract, Load, Transform) pipelines to move data from various sources into a usable format. Implements processes and tools to ensure data accuracy, consistency, and compliance with relevant policies and regulations. Works closely with data scientists, analysts, and other stakeholders to understand their data needs and provide them with the necessary data infrastructure and tools. Ensures data systems are efficient, scalable, and performant to meet the demands of data-intensive applications. Creates functional and technical design documents and maintains documentation for all data processes created or modified. Minimum Requirements: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Minimum Experience: 5+ years of experience building data ingestion processes and tools. 5+ years of experience with DataBricks, Scala, Azure Data Factory (ADF) and SQL Server. 5+ years' database experience with MS SQL Server. 5+ years of experience in healthcare industry with proven understanding of data terminology. Healthcare experience and clear understanding and working knowledge of HIPAA protocols. Experience with Microsoft's Power-BI/SSRS/SSAS/Azure Data Factory and other cloud based BI and reporting services is a plus. Education/Licensure: BS in Computer Science, IT or equivalent or 4 additional years of relevant experience. Microsoft Azure Certification is a plus. Specialized Skills: Excellent verbal and written communication skills. Ability to effectively present information and respond to questions from groups of managers and customers. Essential Physical Functions: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to talk or listen. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms. The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus. Pay Range: $113,332.00 - $169,999.00 Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc. Alignment Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity, or sexual orientation. *DISCLAIMER: Please beware of recruitment phishing scams affecting Alignment Health and other employers where individuals receive fraudulent employment-related offers in exchange for money or other sensitive personal information. Please be advised that Alignment Health and its subsidiaries will never ask you for a credit card, send you a check, or ask you for any type of payment as part of consideration for employment with our company. If you feel that you have been the victim of a scam such as this, please report the incident to the Federal Trade Commission at ******************************* If you would like to verify the legitimacy of an email sent by or on behalf of Alignment Health's talent acquisition team, please email ******************.$113.3k-170k yearly Auto-Apply 25d agoPrincipal Data Engineer - ML Platforms
Altarum
Remote
Altarum | Data & AI Center of Excellence (CoE) Altarum is building the future of data and AI infrastructure for public health - and we're looking for a Principal Data Engineer - ML Platforms to help lead the way. In this cornerstone role, you will design, build, and operationalize the modern data and ML platform capabilities that power analytics, evaluation, AI modeling, and interoperability across all Altarum divisions. If you want to architect impactful systems, enable data science at scale, and help ensure public health and Medicaid programs operate with secure, explainable, and trustworthy AI - this role is for you. What You'll Work On This role blends deep engineering with applied ML enablement: ML Platform Engineering: modern lakehouse architecture, pipelines, MLOps lifecycle Applied ML enablement: risk scoring, forecasting, Medicaid analytics NLP/Generative AI support: RAG, vectorization, health communications Causal ML operationalization: evaluation modeling workflows Responsible/Trusted AI engineering: model cards, fairness, compliance Your work ensures that Altarum's public health and Medicaid programs run on secure, scalable, reusable, and explainable data and AI infrastructure. What You'll Do Platform Architecture & Delivery Design and operate modern, cloud-agnostic lakehouse architecture using object storage, SQL/ELT engines, and dbt. Build CI/CD pipelines for data, dbt, and model delivery (GitHub Actions, GitLab, Azure DevOps). Implement MLOps systems: MLflow (or equivalent), feature stores, model registry, drift detection, automated testing. Engineer solutions in AWS and AWS GovCloud today, with portability to Azure Gov or GCP. Use Infrastructure-as-Code (Terraform, CloudFormation, Bicep) to automate secure deployments. Pipelines & Interoperability Build scalable ingestion and normalization pipelines for healthcare and public health datasets, including: FHIR R4 / US Core (strongly preferred) HL7 v2 (strongly preferred) Medicaid/Medicare claims & encounters (strongly preferred) SDOH & geospatial data (preferred) Survey, mixed-methods, and qualitative data Create reusable connectors, dbt packages, and data contracts for cross-division use. Publish clean, conformed, metrics-ready tables for Analytics Engineering and BI teams. Support Population Health in turning evaluation and statistical models into pipelines. Data Quality, Reliability & Cost Management Define SLOs and alerting; instrument lineage & metadata; ensure ≥95% of data tests pass. Perform performance and cost tuning (partitioning, storage tiers, autoscaling) with guardrails and dashboards. Applied ML Enablement Build production-grade pipelines for risk prediction, forecasting, cost/utilization models, and burden estimation. Develop ML-ready feature engineering workflows and support time-series/outbreak detection models. Integrate ML assets into standardized deployment workflows. Generative AI Enablement Build ingestion and vectorization pipelines for surveys, interviews, and unstructured text. Support RAG systems for synthesis, evaluation, and public health guidance. Enable Palladian Partners with secure, controlled-generation environments. Causal ML & Evaluation Engineering Translate R/Stata/SAS evaluation code into reusable pipelines. Build templates for causal inference workflows (DID, AIPW, CEM, synthetic controls). Support operationalization of ARA's applied research methods at scale. Responsible AI, Security & Compliance Implement Model Card Protocol (MCP) and fairness/explainability tooling (SHAP, LIME). Ensure compliance with HIPAA, 42 CFR Part 2, IRB/DUA constraints, and NIST AI RMF standards. Enforce privacy-by-design: tokenization, encryption, least-privilege IAM, and VPC isolation. Reuse, Shared-Services, and Enablement Develop runbooks, architecture diagrams, repo templates, and accelerator code. Pair with data scientists, analysts, and SMEs to build organizational capability. Provide technical guidance for proposals and client engagements. Your First 90 Days - You will make a meaningful impact fast. Expected outcomes include: Platform skeleton operational: repo templates, CI/CD, dbt project, MLflow registry, tests. Two pipelines in production (e.g., FHIR → analytics and claims normalization). One end-to-end CoE lighthouse MVP delivered (ingestion → model → metrics → BI). Completed playbooks for GovCloud deployment, identity/secrets, rollback, and cost control. Success Metrics (KPIs) Pipeline reliability meeting SLA/SLO targets. ≥95% data tests passing across pipelines. MVP dataset onboarding ≤ 4 weeks. Reuse of platform assets across ≥3 divisions. Cost optimization and budget adherence. What You'll Bring 7-10+ years in data engineering, ML platform engineering, or cloud data architecture. Expert in Python, SQL, dbt, and orchestration tools (Airflow, Glue, Step Functions). Deep experience with AWS + AWS GovCloud. CI/CD and IaC experience (Terraform, CloudFormation). Familiarity with MLOps tools (MLflow, Sagemaker, Azure ML, Vertex AI). Ability to operate in regulated environments (HIPAA, 42 CFR Part 2, IRB). Preferred: Experience with FHIR, HL7, Medicaid/Medicare claims, and/or SDOH datasets. Databricks, Snowflake, Redshift, Synapse. Event streaming (Kafka, Kinesis, Event Hubs). Feature store experience. Observability tooling (Grafana, Prometheus, OpenTelemetry). Experience optimizing BI datasets for Power BI. Logistical Requirements At this time, we will only accept candidates who are presently eligible to work in the United States and will not require sponsorship. Our organization requires that all work, for the duration of your employment, must be completed in the continental U.S. unless required by contract. If you're near one of our offices (Arlington, VA; Silver Spring, MD; or Novi, MI), you'll join us in person one day every other month (6 times per year) for a fun, purpose-driven Collaboration Day. These days are filled with creative energy, meaningful connection, and team brainstorming! Must be able to work during Eastern Time unless approved by your manager. Employees working remotely must have a dedicated, ergonomically appropriate workspace free from distractions with a mobile device that allows for productive and efficient conduct of business. Altarum is a nonprofit organization focused on improving the health of individuals with fewer financial resources and populations disenfranchised by the health care system. We work primarily on behalf of federal and state governments to design and implement solutions that achieve measurable results. We combine our expertise in public health and health care delivery with technology development and implementation, practice transformation, training and technical assistance, quality improvement, data analytics, and applied research and evaluation. Our innovative solutions and proven processes lead to better value and health for all. Altarum is an equal opportunity employer that provides employment and opportunities to all qualified employees and applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, or any other characteristic protected by applicable law.$72k-98k yearly est. Auto-Apply 58d agoData Engineer
Alignment Healthcare
Orange, CA jobs
Data Engineer External Description: Data Engineer Alignment Healthcare was founded with a mission to revolutionize health care with a serving heart culture. Through its unique integrated care delivery models, deep physician partnerships and use of proprietary technologies, Alignment is committed to transforming health care one person at a time. By becoming a part of the Alignment Healthcare team, you will provide members with the quality of care they truly need and deserve. We believe that great work comes from people who are inspired to be their best. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment community. Position Summary: Alignment Healthcare is a data and technology driven healthcare company focused partnering with health systems, health plans and provider groups to provide care delivery that is preventive, convenient, coordinated, and that results in improved clinical outcomes for seniors. We are experiencing rapid growth (backed by top private equity firms), our Data Services and BI team is looking for the best and brightest leaders. Data drives the way we make decisions. We love our customers and understanding them better makes it possible to provide the best clinical outcome and care experience. This position will play a key role in building and operating a cloud-based data platform and its pipelines using big data technologies. As a Data Engineer, you will develop a new data engineering platform that leverage a new cloud architecture, and will extend or migrate our existing data pipelines to this architecture as needed. You will also be assisting with integrating the SQL data warehouse platform as our primary processing platform to create the curated enterprise data model for the company to leverage. You will be part of a team building the next generation data platform and to drive the adoption of new technologies and new practices in existing implementations. You will be responsible for designing and implementing the complex ETL pipelines in cloud data platform and other solutions to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision making. General Duties/Responsibilities: (May include but are not limited to) Interfacing with business customers, gathering requirements and developing new datasets in data platform Building and migrating the complex ETL/EDI pipelines from on premise system to cloud and Hadoop/Spark to make the system grow elastically Identifying the data quality issues to address them immediately to provide great user experience Extracting and combining data from various heterogeneous data sources Designing, implementing and supporting a platform that can provide ad-hoc access to large datasets Modelling data and metadata to support machine learning and AI Minimum Requirements: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Minimum Experience: 3+ years relevant experience in cloud based data engineering. Demonstrated ability in data modeling, ETL development, EDI Development and data warehousing. Data Warehousing Experience with SQL Server, Oracle, Redshift, Teradata, etc. Experience with Big Data Technologies (NoSQL databases, Hadoop, Hive, Hbase, Pig, Spark, Elasticsearch etc.) Experience in using Python, .net, Java and/or other data engineering languages Knowledge and experience of SQL Server and SSIS. Experience with X12(837,834,278) and HL7 transactions Education/Licensure: Bachelors or Masters in Computer Science, Engineering, Mathematics, Statistics, or related field Other: Excellent communication, analytical and collaborative problem-solving skills Requires Spark and Scala Building and migrating the complex ETL/EDI pipelines from on premise system to cloud and Hadoop/Spark to make the system grow elastically Preferred Healthcare domain and data experience Healthcare EDI experience is a plus API development experience is a plus Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets Experience building data products incrementally and integrating and managing datasets from multiple sources Experience leading large-scale data warehousing and analytics projects, including using Azure or AWS technologies - SQL Server, Redshift, S3, EC2, Data-pipeline, Data Lake, Data Factory and other big data technologies Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space Linux/UNIX including to process large data sets. Experience with Azure, AWS or GCP is a plus Microsoft Azure Certification is a plus Demonstrable track record dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic startup environment Problem solving skills and Ability to meet deadlines are a must Microsoft Azure Certification is a plus Python and Java are a plus, Experience with X12(837,834,278) and HL7 transactions preferred Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Essential Physical Functions: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms. The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus. City: Orange State: California Location City: Orange Schedule: Full Time Location State: California Community / Marketing Title: Data Engineer Company Profile: Alignment Healthcare was founded with a mission to revolutionize health care with a serving heart culture. Through its unique integrated care delivery models, deep physician partnerships and use of proprietary technologies, Alignment is committed to transforming health care one person at a time. By becoming a part of the Alignment Healthcare team, you will provide members with the quality of care they truly need and deserve. We believe that great work comes from people who are inspired to be their best. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment community. EEO Employer Verbiage: On August 17, 2021, Alignment implemented a policy requiring all new hires to receive the COVID-19 vaccine. Proof of vaccination will be required as a condition of employment subject to applicable laws concerning exemptions/accommodations. This policy is part of Alignment's ongoing efforts to ensure the safety and well-being of our staff and community, and to support public health efforts. Alignment Healthcare, LLC is proud to practice Equal Employment Opportunity and Affirmative Action. We are looking for diversity in qualified candidates for employment: Minority/Female/Disable/Protected Veteran. If you require any reasonable accommodation under the Americans with Disabilities Act (ADA) in completing the online application, interviewing, completing any pre-employment testing or otherwise participating in the employee selection process, please contact ******************.$117k-150k yearly est. Easy Apply 60d+ agoData Engineer Architect
Alignment Healthcare
Anaheim, CA jobs
Architect, Data Engineering External Description: Architect, Data Engineering Alignment Healthcare was founded with a mission to revolutionize health care with a serving heart culture. Through its unique integrated care delivery models, deep physician partnerships and use of proprietary technologies, Alignment is committed to transforming health care one person at a time. By becoming a part of the Alignment Healthcare team, you will provide members with the quality of care they truly need and deserve. We believe that great work comes from people who are inspired to be their best. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment community. Position Summary: Alignment Healthcare is a data and technology driven healthcare company focused partnering with health systems, health plans and provider groups to provide care delivery that is preventive, convenient, coordinated, and that results in improved clinical outcomes for seniors. We are experiencing rapid growth (backed by top private equity firms), our Data and Analytics(D&A) team is looking for the best and brightest leaders. Data drives the way we make decisions. We love our customers and understanding them better makes it possible to provide the best clinical outcome and care experience. As Architect of Data Engineering, you will play a key role in architecting data engineering solutions and technology to uncover deep insights from data using big data technologies and advanced statistical analysis, processing very large data sets using cloud-based data pipelines(real-time and batch) on Microsoft Azure, variety of analytic tools, visualizations and delivering actionable healthcare insights & solutions. You will also be assisting with integrating the SQL data warehouse platform as our primary processing platform to create the curated enterprise data model for the company to leverage. General Duties/Responsibilities: (May include but are not limited to) Architects, develops, and implements Data Engineering strategy to support organizational initiatives. Leads the architecture function of Data Engineering (Pipeline) team Provides leadership, mentorship to internal data Engineering staff. Lead the effort for building and migrating the complex ETL/EDI pipelines from on premise system to cloud and Hadoop/Spark/Kafka to make the system grow elastically Ensuring data quality throughout all stages of acquisition and processing, including data collection, ground truth generation, normalization and transformation Extracting and combining data from various heterogeneous data sources Designing, implementing and supporting a platform that can provide ad-hoc access to large datasets Modelling data and metadata to support machine learning and AI Build statistical models, apply machine learning techniques, analyze very large data sets and construct metrics using these modeling techniques. Guiding critical business decisions by highlighting opportunities, identifying correlations, defining experiments and figuring out cause and effect relationships. Deploying models in operational software to power insights and actions. Develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations Provide leadership to Data Engineering teams. Communicate with business partners, software vendors, and internal departments. Participate in project meetings, providing input to project plans and providing status updates. Responsible for the global standardization of Data Engineering processes and process improvement and efficiency Minimum Requirements: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Minimum Experience: 6+ years relevant experience in Data Engineering. 3+ years of architecture experience Experience with machine learning algorithms, including deep neural networks, natural language processing, kernel methods, dimensionality reduction, ensemble methods, hidden Markov models and graph algorithms. Data Warehousing Experience with SQL Server, Oracle, Redshift, Teradata, etc. Experience with Big Data Technologies (NoSQL databases, Hadoop, Hive, Hbase, Pig, Spark, Elasticsearch, Databricks etc.) Experience with real-time data processing and API platforms. Experience in using Python, Java and/or other data engineering languages Experience with data visualization and presentation, turning complex analysis into insight. Healthcare domain and data experience Education/Licensure: Masters in Computer Science, Engineering, Mathematics, Statistics, or related field Other: Demonstrated ability in data modeling, ETL development, API developments and data warehousing. Knowledge and experience of SQL and SSIS. Excellent communication, analytical and collaborative problem-solving skills Preferred: PhD or Master's in computer science, Electrical Engineering, Mathematics, Statistics, or related field Industry experience as a Data Engineering Leader or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Engineer) with a track record of manipulating, processing, and extracting value from large datasets. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets Experience building data products incrementally and integrating and managing datasets from multiple sources Experience leading large-scale data warehousing and analytics projects, including using Azure or AWS technologies - SQL Server, Redshift, S3, EC2, Data-pipeline, Data Lake, Data Factory and other big data technologies Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space Linux/UNIX including to process large data sets. Experience with Azure, AWS or GCP is a plus Microsoft Azure data architecture Certification is a plus Demonstrable track record dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic startup environment Knowledge of scripting for automation (e.g. Python, Perl, Scala etc.) Experience with NoSQL, Spark, Hadoop, Elasticsearch etc. Demonstrable track record dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic startup environment Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Essential Physical Functions: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms. The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus. City: Anaheim State: California Location City: Anaheim Schedule: Full Time Location State: California Community / Marketing Title: Data Engineer Architect Company Profile: Alignment Healthcare was founded with a mission to revolutionize health care with a serving heart culture. Through its unique integrated care delivery models, deep physician partnerships and use of proprietary technologies, Alignment is committed to transforming health care one person at a time. By becoming a part of the Alignment Healthcare team, you will provide members with the quality of care they truly need and deserve. We believe that great work comes from people who are inspired to be their best. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment community. EEO Employer Verbiage: On August 17, 2021, Alignment implemented a policy requiring all new hires to receive the COVID-19 vaccine. Proof of vaccination will be required as a condition of employment subject to applicable laws concerning exemptions/accommodations. This policy is part of Alignment's ongoing efforts to ensure the safety and well-being of our staff and community, and to support public health efforts. Alignment Healthcare, LLC is proud to practice Equal Employment Opportunity and Affirmative Action. We are looking for diversity in qualified candidates for employment: Minority/Female/Disable/Protected Veteran. If you require any reasonable accommodation under the Americans with Disabilities Act (ADA) in completing the online application, interviewing, completing any pre-employment testing or otherwise participating in the employee selection process, please contact ******************.$117k-150k yearly est. Easy Apply 60d+ agoData Engineer Principal
Healthpartners
Ann, MN jobs
HealthPartners is hiring a Data Engineer Principal. Our mission is to provide simple and affordable healthcare. HealthPartners teams use data to improve patient and member experience, improve health, and reduce the per capita cost of health care. We are seeking a dynamic and technically skilled data engineer to lead the development and delivery of training programs that empower our 275-person department-including 21 leaders-to thrive in a modern data environment. This role bridges the gap between technical complexity and team capability, ensuring our workforce is confident and competent in using tools like Databricks and Python, while also understanding data governance principles. HealthPartners data engineers are responsible for building, managing and optimizing data pipelines that facilitate data movement in service of these goals by implementing and testing methods (or build systems) that improve data reliability and quality. They champion and embrace leading practices in the field, and develop processes to effectively store, manage and deliver data. ACCOUNTABILITIES: * All team members must champion and model our values of partnership, curiosity, compassion, integrity, and excellence, and must contribute to a culture of continuous learning. * Work with stakeholders, data scientists and analysts to frame problems, clean and integrate data, and determine the best way to provision that data on demand * Collaborate with other engineers to design technology solutions that achieve measurable results at scale * Provide technical thought leadership for efficient data pipeline processes, warehouse architecture and business intelligence functions. * Assist in the development of short, medium, and long-term plans to achieve strategic objectives. * Guide, mentor, influence, and adopt a cloud-first modern data architectural direction, and consistently adopt the associated standards and best practices * Develop, maintain, and distribute up-to-date training documentation and learning resources. * Design and facilitate engaging learning labs, combining presentations with hands-on exercises. * Create and deliver advanced training tailored for leadership, enabling them to support their teams effectively in a data-driven environment. * Act as a technical translator and coach, helping team members understand and apply concepts related to data lakes, data governance, and data engineering. * Collaborate with SMEs, engineers, and leadership to identify learning needs and close knowledge gaps. * Serve as a solutions architect when needed, guiding technical setup and best practices in the absence of deep technical leadership. * Champion a culture of continuous learning and technical enablement across the department. REQUIRED SKILLS/ QUALIFICATIONS: Bachelor's degree in computer science, data or social science, operations research, statistics, applied mathematics, econometrics, or a related quantitative field AND 4+ years of experience in business analytics, data science, software development, data modeling and/or data engineering work OR Master's Degree in Computer Science, Math, Software is acceptable * 10+ years of programming experience with command in at least two or more of the following programming languages: SQL, Python, Java, R or Spark * Expert proficiency in SQL; experience with Oracle, PostgreSQL, MySQL, or Microsoft SQL Server * 10+ years of experience using a combination of tools such as Azure Data Factory, Synapse, Data Explorer, App Insights, Power BI, and Databricks * 3+ years of experience using Azure CosmosDB and Azure Data Lake Storage * Must be motivated, self-driven, curious, and creative * Proven ability to lead projects and teams with minimal guidance * Must be skilled communicator, and demonstrate an ability to work with end users and business leaders * Demonstrate the ability to support and complement the work of a diverse development and/or operations team * Lead a collaborative, cross-functional team, Active participation in sprint reviews * Expert and a minimum of five years' experience in the following domains: Data management, software engineering, I&O (infrastructure and operations) PREFERRED QUALIFICATIONS: * Knowledge of health care operations * Exposure to agile/scrum * Ability to work in a hybrid cloud environment consisting of on premise and public cloud infrastructure. An ideal candidate will have experience with one or more of the following skill sets * Expert in Relational databases like Oracle, SQL server * Expert in Optimizing and tuning SQL/Oracle queries, stored procedures and triggers * Expert in Python (numpy, pandas, matplotlib etc) and Jupyter notebooks for exploratory data analysis, machine learning, and process automation * Expert in areas of CI/CD, Continuous testing, and site reliability engineering. * Expert in Microsoft Azure applications such as Azure Data Factory, Synapse, Purview, Databricks /Spark, Power BI, PowerApps. * Expert in event streaming tools like NiFi, Kafka and Flink * Expert in data processing tools, like Apache's Sqoop, Spark and Hive * Expert in Document or NoSQL datastores, particularly MongoDB * Expert in Power BI data models using advanced Power Query and DAX * Expert in in AI/ML Ops * Interest and desire to contribute to emerging practices around DataOps (CI/CD, IaC, configuration management, etc.) * Collaborate effectively with product management, program management, engineers, and stakeholders. * Excellent analytical and critical thinking skills * Ability to influence without authority and thrive in an ambiguous environment.$84k-106k yearly est. Auto-Apply 38d agoData Engineer Principal
Healthpartners
Bloomington, MN jobs
HealthPartners is hiring a Data Engineer, Principal. Our mission is to provide simple and affordable healthcare. HealthPartners teams use data to improve patient and member experience, improve health, and reduce the per capita cost of health care. HealthPartners data engineers are responsible for building, managing and optimizing data pipelines that facilitate data movement in service of these goals by implementing and testing methods (or build systems) that improve data reliability and quality. Data engineers work in collaborative scrum teams with other developers, analysts and data scientists and may share work efforts in order to achieve sprint goals. They champion and embrace leading practices in the field, and develop processes to effectively store, manage and deliver data. As part of their role, data engineers are responsible for reducing manual data work and improving productivity; they employ and test innovative tools, techniques and architectures to detect patterns and automate common or repetitive data preparation and integration tasks. ACCOUNTABILITIES: All team members must champion and model our values of partnership, curiosity, compassion, integrity, and excellence, and must contribute to a culture of continuous learning. Work with stakeholders, data scientists and analysts to frame problems, clean and integrate data, and determine the best way to provision that data on demand Collaborate with other engineers to design technology solutions that achieve measurable results at scale Collaborate with data scientists to train, develop and operationalize learning models Provide technical thought leadership for efficient data pipeline processes, warehouse architecture and business intelligence functions. Identify, design and implement software architecture to manage software development tasks associated with developing, debugging, or designing software applications, operating systems, and databases according to provided design specifications. Build enhancements within an existing software architecture and envision future improvements to the architecture. Assist in the development of short, medium, and long-term plans to achieve strategic objectives. Guide, mentor, influence, and adopt a cloud-first modern data architectural direction, and consistently adopt the associated standards and best practices Monitor and analyze information and data systems and evaluate their performance to discover ways of enhancing them (such as new technologies and upgrades). Collaborate with cross-function engineering teams to design interfaces that support data integration with internal and external platforms Data engineers perform other duties as required, to meet team sprint goals REQUIRED SKILLS/ QUALIFICATIONS: Bachelor's degree in computer science, data or social science, operations research, statistics, applied mathematics, econometrics, or a related quantitative field AND 4 or more years of experience in business analytics, data science, software development, data modeling and/or data engineering work OR Master's Degree in Computer Science, Math, Software is acceptable 10 or more years of programming experience with command in at least two or more of the following programming languages: SQL, Python, Java, R or Spark Expert proficiency in SQL; experience with Oracle, PostgreSQL, MySQL, or Microsoft SQL Server 10 or more years of experience using a combination of tools such as Azure Data Factory, Synapse, Data Explorer, App Insights, Power BI, and Databricks 3 or more years of experience using Azure CosmosDB and Azure Data Lake Storage Must be motivated, self-driven, curious, and creative Proven ability to lead projects and teams with minimal guidance Must be skilled communicator, and demonstrate an ability to work with end users and business leaders Demonstrate the ability to support and complement the work of a diverse development and/or operations team Lead a collaborative, cross-functional team, Active participation in sprint reviews Expert and a minimum of five year's experience in the following domains: Data management, software engineering, I&O (infrastructure and operations) PREFERRED QUALIFICATIONS: Knowledge of health care operations Exposure to agile/scrum Ability to work in a hybrid cloud environment consisting of on premise and public cloud infrastructure. An ideal candidate will have experience with one or more of the following skill sets Expert in Relational databases like Oracle, SQL server Expert in Optimizing and tuning SQL/Oracle queries, stored procedures and triggers Expert in Python (numpy, pandas, matplotlib etc) and Jupyter notebooks for exploratory data analysis, machine learning, and process automation Expert in areas of CI/CD, Continuous testing, and site reliability engineering. Expert in Microsoft Azure applications such as Azure Data Factory, Synapse, Purview, Databricks /Spark, Power BI, PowerApps. Expert in event streaming tools like NiFi, Kafka and Flink Expert in data processing tools, like Apache's Sqoop, Spark and Hive Expert in Document or NoSQL datastores, particularly MongoDB Expert in Power BI data models using advanced Power Query and DAX Expert in in AI/ML Ops Interest and desire to contribute to emerging practices around DataOps (CI/CD, IaC, configuration management, etc.) Collaborate effectively with product management, program management, engineers, and stakeholders. Excellent analytical and critical thinking skills Ability to influence without authority and thrive in an ambiguous environment.$84k-106k yearly est. Auto-Apply 21d agoData Engineer Senior
Healthpartners
Bloomington, MN jobs
HealthPartners is hiring a Data Engineer Senior. Our mission is to provide simple and affordable healthcare. HealthPartners teams use data to improve patient and member experience, improve health, and reduce the per capita cost of health care. HealthPartners data engineers are responsible for building, managing and optimizing data pipelines that facilitate data movement in service of these goals by implementing and testing methods (or build systems) that improve data reliability and quality. Data engineers work in collaborative scrum teams with other developers, analysts and data scientists and may share work efforts in order to achieve sprint goals. They champion and embrace leading practices in the field, and develop processes to effectively store, manage and deliver data. As part of their role, data engineers are responsible for reducing manual data work and improving productivity; they employ and test innovative tools, techniques and architectures to detect patterns and automate common or repetitive data preparation and integration tasks. ACCOUNTABILITIES: All team members must champion and model our values of partnership, curiosity, compassion, integrity, and excellence, and must contribute to a culture of continuous learning. Work with stakeholders, data scientists and analysts to frame problems, clean and integrate data, and determine the best way to provision that data on demand Collaborate with other developers to design technology solutions that achieve measurable results at scale Collaborate with data scientists to train, develop and operationalize learning models Build, design and develop scalable, efficient data pipeline processes to handle data ingestion, cleansing, transformation, integration, and validation required to provide access to prepared data sets for analysts and data scientists Evaluate and recommend technology and frameworks for building cross product data assets to optimize for flexibility, long-term viability, and time to market Guide, mentor, influence, and adopt a cloud-first modern data architectural direction, and consistently adopt the associated standards and best practices Anticipate the need for data governance and work with designated committees to ensure that data modeling and data handling procedures are compliant with applicable laws and policies across data pipeline. Leads root cause analysis in response to detected problems/anomalies to identify the reason for alerts and implement advanced solutions that prevent recurring points of failure. Applies in-depth knowledge of the business to design a data model that is appropriate for the project and translates business requirements into design specification documents to model the flow and storage of data across multiple data pipelines. Identifies multiple, complex data sources and builds advanced code to extract raw data from identified upstream sources using query languages, tools, or machine learning algorithms, while assuring accuracy, validity, and reliability of the data across the pipeline. Formulate techniques for quality data collection to ensure adequacy, accuracy and legitimacy of data. Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Participate in code reviews and champion the adoption of best practices Support the data environment by releasing new features, resolving issues for users, and working with other technology teams Monitor and analyze information and data systems and evaluate their performance to discover ways of enhancing them (such as new technologies and upgrades). Applies in-depth knowledge of the business to design a data model that is appropriate for the project and translates business requirements into design specification documents to model the flow and storage of data across multiple data pipelines. Data engineers perform other duties as required, to meet team sprint goals REQUIRED SKILLS/Qualifications: Bachelor's degree in computer science, data or social science, operations research, statistics, applied mathematics, econometrics, or a related quantitative field AND 4 or more years of experience in business analytics, data science, software development, data modeling and/or data engineering work OR Master's Degree in Computer Science, Math, Software is acceptable 5 or more years of programming experience with command in at least two languages: SQL, Python, Java, R or Spark Expert proficiency in SQL; experience with Oracle, PostgreSQL, MySQL, or Microsoft SQL Server 4 or more years; years of experience in at least one of the BI/Analytics space such as Azure Data Factory, Synapse, Data Explorer, Cosmos, App Insights, Power BI, and Databricks (or similar) 3 or more years of experience in the areas of Graph databases, Big Data, or Hyper Scale products in Azure. Experience using Git, or a comparable code repository Must be motivated, self-driven, curious, and creative Must be skilled communicator, and demonstrate an ability to work with end users and business leaders Demonstrate the ability to support and complement the work of a diverse development and/or operations team Experience working in a collaborative, cross-functional team; Active participation in sprint reviews Expert Knowledge and a minimum of four years' experience in the following domains: Data management, software engineering, I&O (infrastructure and operations) PREFERRED QUALIFICATIONS: Pharmacy data experience Knowledge of health care operations Exposure to agile/scrum Ability to work in a hybrid cloud environment consisting of on premise and public cloud infrastructure. An ideal candidate will have experience with one or more of the following skill sets Expert in Relational databases like Oracle, SQL server Expert in Optimizing and tuning SQL/Oracle queries, stored procedures and triggers Expert in Python (numpy, pandas, matplotlib etc) and Jupyter notebooks for exploratory data analysis, machine learning, and process automation Expert in areas of CI/CD, Continuous testing, and site reliability engineering. Expert in Microsoft Azure applications such as Azure Data Factory, Synapse, Purview, Databricks /Spark, Power BI, PowerApps. Expert in event streaming tools like NiFi, Kafka and Flink Expert in data processing tools, like Apache's Sqoop, Spark and Hive Expert in Document or NoSQL datastores, particularly MongoDB Expert in Power BI data models using advanced Power Query and DAX Expert in in AI/ML Ops Interest and desire to contribute to emerging practices around DataOps (CI/CD, IaC, configuration management, etc.) Collaborate effectively with product management, program management, engineers, and stakeholders. Excellent analytical and critical thinking skills Ability to influence without authority and thrive in an ambiguous environment.$84k-106k yearly est. Auto-Apply 13d agoData Engineer Principal
Healthpartners
Bloomington, MN jobs
HealthPartners is hiring a Data Engineer, Principal. Our mission is to provide simple and affordable healthcare. HealthPartners teams use data to improve patient and member experience, improve health, and reduce the per capita cost of health care. HealthPartners data engineers are responsible for building, managing and optimizing data pipelines that facilitate data movement in service of these goals by implementing and testing methods (or build systems) that improve data reliability and quality. Data engineers work in collaborative scrum teams with other developers, analysts and data scientists and may share work efforts in order to achieve sprint goals. They champion and embrace leading practices in the field, and develop processes to effectively store, manage and deliver data. As part of their role, data engineers are responsible for reducing manual data work and improving productivity; they employ and test innovative tools, techniques and architectures to detect patterns and automate common or repetitive data preparation and integration tasks. ACCOUNTABILITIES: All team members must champion and model our values of partnership, curiosity, compassion, integrity, and excellence, and must contribute to a culture of continuous learning. Work with stakeholders, data scientists and analysts to frame problems, clean and integrate data, and determine the best way to provision that data on demand Collaborate with other engineers to design technology solutions that achieve measurable results at scale Collaborate with data scientists to train, develop and operationalize learning models Provide technical thought leadership for efficient data pipeline processes, warehouse architecture and business intelligence functions. Identify, design and implement software architecture to manage software development tasks associated with developing, debugging, or designing software applications, operating systems, and databases according to provided design specifications. Build enhancements within an existing software architecture and envision future improvements to the architecture. Assist in the development of short, medium, and long-term plans to achieve strategic objectives. Guide, mentor, influence, and adopt a cloud-first modern data architectural direction, and consistently adopt the associated standards and best practices Monitor and analyze information and data systems and evaluate their performance to discover ways of enhancing them (such as new technologies and upgrades). Collaborate with cross-function engineering teams to design interfaces that support data integration with internal and external platforms Data engineers perform other duties as required, to meet team sprint goals REQUIRED SKILLS/ QUALIFICATIONS: Bachelor's degree in computer science, data or social science, operations research, statistics, applied mathematics, econometrics, or a related quantitative field AND 4 or more years of experience in business analytics, data science, software development, data modeling and/or data engineering work OR Master's Degree in Computer Science, Math, Software is acceptable 10 or more years of programming experience with command in at least two or more of the following programming languages: SQL, Python, Java, R or Spark Expert proficiency in SQL; experience with Oracle, PostgreSQL, MySQL, or Microsoft SQL Server 10 or more years of experience using a combination of tools such as Azure Data Factory, Synapse, Data Explorer, App Insights, Power BI, and Databricks 3 or more years of experience using Azure CosmosDB and Azure Data Lake Storage Must be motivated, self-driven, curious, and creative Proven ability to lead projects and teams with minimal guidance Must be skilled communicator, and demonstrate an ability to work with end users and business leaders Demonstrate the ability to support and complement the work of a diverse development and/or operations team Lead a collaborative, cross-functional team, Active participation in sprint reviews Expert and a minimum of five year's experience in the following domains: Data management, software engineering, I&O (infrastructure and operations) PREFERRED QUALIFICATIONS: Knowledge of health care operations Exposure to agile/scrum Ability to work in a hybrid cloud environment consisting of on premise and public cloud infrastructure. An ideal candidate will have experience with one or more of the following skill sets Expert in Relational databases like Oracle, SQL server Expert in Optimizing and tuning SQL/Oracle queries, stored procedures and triggers Expert in Python (numpy, pandas, matplotlib etc) and Jupyter notebooks for exploratory data analysis, machine learning, and process automation Expert in areas of CI/CD, Continuous testing, and site reliability engineering. Expert in Microsoft Azure applications such as Azure Data Factory, Synapse, Purview, Databricks /Spark, Power BI, PowerApps. Expert in event streaming tools like NiFi, Kafka and Flink Expert in data processing tools, like Apache's Sqoop, Spark and Hive Expert in Document or NoSQL datastores, particularly MongoDB Expert in Power BI data models using advanced Power Query and DAX Expert in in AI/ML Ops Interest and desire to contribute to emerging practices around DataOps (CI/CD, IaC, configuration management, etc.) Collaborate effectively with product management, program management, engineers, and stakeholders. Excellent analytical and critical thinking skills Ability to influence without authority and thrive in an ambiguous environment.$84k-106k yearly est. Auto-Apply 21d agoAzure Data Engineer
Freudenberg
Plymouth, MI jobs
Working at Freudenberg: We will wow your world! Responsibilities: Design and Build Data Pipelines: Develop, implement, and maintain robust, scalable data pipelines and ETL processes to integrate data from diverse sources. Cloud Data Infrastructure: Collaborate with IT and business teams to set up and optimize advanced cloud-based data infrastructure, supporting AI-driven models and analytics. Data Transformation & Modeling: Create algorithms and data models to convert raw data into actionable insights, aligning with business objectives. Data Quality & Security: Ensure data integrity, quality, and security across all systems, implementing validation, backup, recovery, and disaster recovery plans. Pipeline Optimization: Continuously evaluate and enhance data systems and processes for improved efficiency, reliability, and performance (including query tuning and indexing). Migration & Modernization: Lead migration of on-premises data systems to cloud solutions, focusing on Azure and modern data architectures (e.g., real-time processing, data warehousing). Collaboration: Work closely with data scientists, analysts, and other stakeholders to meet organizational data needs and drive strategic data management projects Qualifications: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Proficiency in Python and SQL; experience with both relational and non-relational databases (MS SQL, Azure SQL Database). Hands-on experience with Databricks, Azure Data Factory, and modern data warehouse tools. Familiarity with real-time data processing tools (e.g., Kafka, Flink) is a plus. Experience with CI/CD pipelines, automation for data deployments, and infrastructure as code (e.g., Terraform). Strong understanding of data security, backup, and recovery best practices. Knowledge of cloud infrastructure management, particularly on the Azure platform. Domain Knowledge: Experience in automotive and/or chemical data domains is a plus. Communication & Collaboration: Communicates clearly and concisely, while serving as a sparring partner to internal/external stakeholders. Fosters teamwork between employees and across the organization. Value for Customers: Drives a customer-oriented business strategy and provides indispensable support to deliver successful outcomes. Innovation: Envisions the impact of potential future trends and proactively drives necessary changes. Encourages creativity and initiative from employees. Drive & Execution: Inspires and motivates self and others, while taking full accountability for actions and results. The Freudenberg Group is an equal opportunity employer that is committed to diversity and inclusion. Employment opportunities are available to all applicants and associates without regard to race, color, religion, creed, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, mental or physical disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law. Freudenberg-NOK General Partnership$81k-114k yearly est. Auto-Apply 21d agoData Scientist
Signature Science, LLC
New Jersey jobs
The primary purpose of this position is to serve as the data scientist with a split portfolio between the Atlantic City office and the Austin chemistry group. Essential Duties and Responsibilities: Performs data analytics, specifically data clean-up, data processing, predictive modeling, chemometric statistical modeling and analysis, multivariate data analysis, machine learning, and/or data mining, as related to scientific data. Applies technical skills to plan and execute assigned project work including development of computational models, programming of detection algorithms, and machine learning. Maintains operational capabilities of computation assets as needed by project requirements. Leads meetings with company clients by preparing and presenting meeting materials in meetings. Appropriately annotates project developed computer code through comments and user manuals. Presents technical results through the drafting of technical reports. Presents experimental results and recommended actions at internal project meetings. Supports business development efforts as needed by drafting technical sections of proposals, providing proposal review, assessing levels of effort required to complete proposed work, and brainstorming technical solutions to client problems. Other duties as assigned. Required Knowledge, Skills & Abilities: Ability to plan sequence of experiments to answer complicated technical questions Ability to lead group of co-workers in execution of a task Software programming proficiency with Java, C, R, Python, and/or MATLAB Working knowledge of statistics as it applies to scientific data Ability to communicate technical information to non-technical audiences Team player with a positive attitude Department of Homeland Security Suitability Department of Defense Secret Clearance Working knowledge of software development practices including Agile development and Git version control Sufficient business knowledge to support proposal efforts Education/Experience: Incumbent professional should have a Ph.D. or master's degree in a physical science (preferably chemistry), statistics, or data science and significant experience in computer programming, computational modeling, or software development. Certificates and Licenses: None Clearance: The ability to obtain a Secret clearance and Department of Homeland Security suitability is required for this position. Supervisory Responsibilities: The incumbent professional may oversee junior level staff members performing tasks. Working Conditions/ Equipment: The incumbent professional is expected to work and/or be available during regular business hours. He/she should also generally be available via e-mail or phone during non-business hours as needed to address critical issues or emergencies. He/she may be required to travel on behalf of the company up to 25%. The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow any other instructions and perform any other related duties, as assigned by their supervisor. Powered by ExactHire:160573$72k-99k yearly est. 8d agoPrincipal Data Engineer - ML Platforms
Altarum
Arlington, VA jobs
Altarum | Data & AI Center of Excellence (CoE) Altarum is building the future of data and AI infrastructure for public health - and we're looking for a Principal Data Engineer - ML Platforms to help lead the way. In this cornerstone role, you will design, build, and operationalize the modern data and ML platform capabilities that power analytics, evaluation, AI modeling, and interoperability across all Altarum divisions. If you want to architect impactful systems, enable data science at scale, and help ensure public health and Medicaid programs operate with secure, explainable, and trustworthy AI - this role is for you. What You'll Work On This role blends deep engineering with applied ML enablement: ML Platform Engineering: modern lakehouse architecture, pipelines, MLOps lifecycle Applied ML enablement: risk scoring, forecasting, Medicaid analytics NLP/Generative AI support: RAG, vectorization, health communications Causal ML operationalization: evaluation modeling workflows Responsible/Trusted AI engineering: model cards, fairness, compliance Your work ensures that Altarum's public health and Medicaid programs run on secure, scalable, reusable, and explainable data and AI infrastructure. What You'll Do Platform Architecture & Delivery Design and operate modern, cloud-agnostic lakehouse architecture using object storage, SQL/ELT engines, and dbt. Build CI/CD pipelines for data, dbt, and model delivery (GitHub Actions, GitLab, Azure DevOps). Implement MLOps systems: MLflow (or equivalent), feature stores, model registry, drift detection, automated testing. Engineer solutions in AWS and AWS GovCloud today, with portability to Azure Gov or GCP. Use Infrastructure-as-Code (Terraform, CloudFormation, Bicep) to automate secure deployments. Pipelines & Interoperability Build scalable ingestion and normalization pipelines for healthcare and public health datasets, including: FHIR R4 / US Core (strongly preferred) HL7 v2 (strongly preferred) Medicaid/Medicare claims & encounters (strongly preferred) SDOH & geospatial data (preferred) Survey, mixed-methods, and qualitative data Create reusable connectors, dbt packages, and data contracts for cross-division use. Publish clean, conformed, metrics-ready tables for Analytics Engineering and BI teams. Support Population Health in turning evaluation and statistical models into pipelines. Data Quality, Reliability & Cost Management Define SLOs and alerting; instrument lineage & metadata; ensure ≥95% of data tests pass. Perform performance and cost tuning (partitioning, storage tiers, autoscaling) with guardrails and dashboards. Applied ML Enablement Build production-grade pipelines for risk prediction, forecasting, cost/utilization models, and burden estimation. Develop ML-ready feature engineering workflows and support time-series/outbreak detection models. Integrate ML assets into standardized deployment workflows. Generative AI Enablement Build ingestion and vectorization pipelines for surveys, interviews, and unstructured text. Support RAG systems for synthesis, evaluation, and public health guidance. Enable Palladian Partners with secure, controlled-generation environments. Causal ML & Evaluation Engineering Translate R/Stata/SAS evaluation code into reusable pipelines. Build templates for causal inference workflows (DID, AIPW, CEM, synthetic controls). Support operationalization of ARA's applied research methods at scale. Responsible AI, Security & Compliance Implement Model Card Protocol (MCP) and fairness/explainability tooling (SHAP, LIME). Ensure compliance with HIPAA, 42 CFR Part 2, IRB/DUA constraints, and NIST AI RMF standards. Enforce privacy-by-design: tokenization, encryption, least-privilege IAM, and VPC isolation. Reuse, Shared-Services, and Enablement Develop runbooks, architecture diagrams, repo templates, and accelerator code. Pair with data scientists, analysts, and SMEs to build organizational capability. Provide technical guidance for proposals and client engagements. Your First 90 Days - You will make a meaningful impact fast. Expected outcomes include: Platform skeleton operational: repo templates, CI/CD, dbt project, MLflow registry, tests. Two pipelines in production (e.g., FHIR → analytics and claims normalization). One end-to-end CoE lighthouse MVP delivered (ingestion → model → metrics → BI). Completed playbooks for GovCloud deployment, identity/secrets, rollback, and cost control. Success Metrics (KPIs) Pipeline reliability meeting SLA/SLO targets. ≥95% data tests passing across pipelines. MVP dataset onboarding ≤ 4 weeks. Reuse of platform assets across ≥3 divisions. Cost optimization and budget adherence. What You'll Bring 7-10+ years in data engineering, ML platform engineering, or cloud data architecture. Expert in Python, SQL, dbt, and orchestration tools (Airflow, Glue, Step Functions). Deep experience with AWS + AWS GovCloud. CI/CD and IaC experience (Terraform, CloudFormation). Familiarity with MLOps tools (MLflow, Sagemaker, Azure ML, Vertex AI). Ability to operate in regulated environments (HIPAA, 42 CFR Part 2, IRB). Preferred: Experience with FHIR, HL7, Medicaid/Medicare claims, and/or SDOH datasets. Databricks, Snowflake, Redshift, Synapse. Event streaming (Kafka, Kinesis, Event Hubs). Feature store experience. Observability tooling (Grafana, Prometheus, OpenTelemetry). Experience optimizing BI datasets for Power BI. Logistical Requirements At this time, we will only accept candidates who are presently eligible to work in the United States and will not require sponsorship. Our organization requires that all work, for the duration of your employment, must be completed in the continental U.S. unless required by contract. If you're near one of our offices (Arlington, VA; Silver Spring, MD; or Novi, MI), you'll join us in person one day every other month (6 times per year) for a fun, purpose-driven Collaboration Day. These days are filled with creative energy, meaningful connection, and team brainstorming! Must be able to work during Eastern Time unless approved by your manager. Employees working remotely must have a dedicated, ergonomically appropriate workspace free from distractions with a mobile device that allows for productive and efficient conduct of business. Altarum is a nonprofit organization focused on improving the health of individuals with fewer financial resources and populations disenfranchised by the health care system. We work primarily on behalf of federal and state governments to design and implement solutions that achieve measurable results. We combine our expertise in public health and health care delivery with technology development and implementation, practice transformation, training and technical assistance, quality improvement, data analytics, and applied research and evaluation. Our innovative solutions and proven processes lead to better value and health for all. Altarum is an equal opportunity employer that provides employment and opportunities to all qualified employees and applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, or any other characteristic protected by applicable law.$70k-91k yearly est. Auto-Apply 58d ago
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