Design, develop, and maintain scalable data pipelines to ingest, transform, validate, and store data from multiple internal and external systems.
Optimize data models and schemas for reporting and dashboarding, supporting enterprise analytics platforms.
Collaborate with data strategists, analysts, and solutions developers to enable analytics use cases and ensure compliance with federal security and regulatory requirements.
Design, build, and maintain data pipelines that ingest and transform healthcare data through staging, transformation, and mart layers.
Write and maintain dbt models following established conventions, ensuring transformations are testable and performant.
Implement data quality tests, monitor pipeline health, and resolve data anomalies to ensure accuracy of downstream reporting.
Privia Health is a technology-driven physician enablement company that partners with medical groups and health systems to optimize practices and improve patient care. The company is led by top industry talent and uses cloud-based technology to reduce healthcare costs and improve outcomes.
Work cross-functionally with Product and experts to conceptualize, prototype, and build data solutions
Build and maintain data engineering systems and high-quality data models from multi-source healthcare datasets
Develop and test data pipelines and draft internal and external technical documentation
Turquoise Health is a Series C price transparency platform for finance leaders across healthcare. Backed by a16z, Oak HC/FT, and others, we are a remote-first, US-based team that values transparency, empathy, inclusivity, creativity, and ownership.
Design, develop, and maintain resilient, scalable, end-to-end data pipelines with Snowflake and Python.
Partner with product owners and analysts to gather requirements and deliver data solutions aligned with business goals.
Act as a subject matter expert, mentor junior engineers, and champion DevOps practices including CI/CD and automated testing.
Privia Health is a technology-driven national physician enablement company that collaborates with medical groups and health systems to optimize practices and improve patient care through its cloud-based platform. The company is led by top industry talent and physician leadership, focusing on reducing healthcare costs and improving outcomes.
Build and optimize large-scale ETL pipelines and data infrastructure for marketing operations.
Design and develop automated dashboards and reports using BI tools to enable data-driven decisions.
Write and optimize complex SQL queries to extract and analyze large datasets from multiple sources.
itD is a consulting and software development company that blends diversity, innovation, and integrity with real business results. We are a woman- and minority-led firm with a flat hierarchy, empowering employees to deliver excellent results.
Design, build, and maintain robust, scalable ELT/ETL data pipelines from various source systems into cloud data platforms.
Perform data modeling, including dimensional modeling, and build transformation layers using dbt to create analytics-ready datasets.
Support operational reliability, monitor data pipelines, and ensure SLAs for timeliness, freshness, and accuracy.
Troveo builds the data platform that AI labs and model builders need to train the next generation of models. Backed by top investors, we’re a small, high-impact team solving one of the biggest bottlenecks in AI development.
Design and build scalable, well-tested DBT models and develop maintainable ELT pipelines with observability and reliability.
Partner with product managers, engineers, and stakeholders to understand data needs and provide actionable paths forward.
Mentor other engineers, document logic and methodology, and promote transparency across the organization.
Imagine Pediatrics is a tech-enabled, pediatrician-led medical group reimagining care for children with special health care needs, delivering 24/7 virtual and in-home medical, behavioral, and social care. The company is a fast-paced startup environment focused on compassion and innovation, with an unwavering commitment to children with medical complexity.
Drive the change in healthcare by building products to integrate fragmented healthcare services as an end-to-end experience.
Lead technical design and implementation of reliable, scalable, and efficient data infrastructure and software solutions.
Collaborate across teams including Product, Sales, and Clinical Operations to translate business requirements into a technical roadmap.
Accompany Health is a primary, behavioral, and social care provider for patients with complex needs, offering at-home, virtual care, and 24/7 support. The company is an equal opportunity employer with a distributed team across the country, focused on evidence-based practice and long-term patient relationships.
Design and maintain cloud data warehouse solutions using AWS services and dbt for scalable data transformation.
Build and optimize batch and near real-time ELT/ETL pipelines supporting enterprise data integration.
Partner with business and technical teams to deliver trusted datasets for reporting, analytics, and AI initiatives.
Modivcare is leading the transformation to better connect people with care, wherever they are, by facilitating non-emergency medical transportation and personal and home care. We serve the most underserved, with a focus on enabling greater access to care, reducing costs, and improving outcomes, and we value our team members with comprehensive benefits.
Collaborate with cross-functional teams to design and deliver scalable data solutions for the Unified Data Platform on Azure Fabric.
Build and optimize data pipelines, ETL/ELT processes, and ensure data quality and compliance with HIPAA and governance standards.
Work directly with researchers to translate requirements into technical designs and contribute to the evaluation of emerging technologies.
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate and prepare leaders for the future. It is a large academic institution with a collaborative culture focused on research, education, and community impact.
Design and validate data mapping and integration solutions to ensure data quality across healthcare systems.
Investigate and resolve complex data issues while collaborating with business and technical stakeholders.
Mentor other analysts and promote best practices for scalable, accurate data solutions.
Cohere Health provides a clinical intelligence platform and agentic AI-powered solutions that connect health plans and providers to optimize care speed, cost, and quality. The company has been named to the 2025 Inc. 5000 list and is backed by leading investors, fostering a supportive, growth-oriented culture for its team.
Act as the technical point of contact for external and internal stakeholders during onboarding and implementation.
Manage data integration and tech implementation projects, including EMR integrations, API connections, and SFTP data feeds.
Translate clinical and operational requirements into technical configurations and maintain integration documentation.
Guidehealth is a data-powered, performance-driven healthcare company dedicated to operational excellence. Operating as a physician-led organization with a fully remote team, we foster a culture of collaboration, continuous learning, and innovation.
Design integration architectures and define clinical data mappings from electronic health record data.
Collaborate with cross-functional teams of researchers, data scientists, and developers to support data pipelines and analytics.
Ensure data quality, integrity, and performance through code reviews, monitoring, and best practices.
We are a nonprofit organization dedicated to reducing cardiovascular disease and stroke since 1924. We have a large, passionate team focused on health equity and innovation.
Works as a positive team member to deliver quality data applications within scope, on time, and within budget.
Develops strategies for managing complex data sets and integrates disparate data sources for improved reporting.
Mentors other analysts on regulation adherence and follows HIPAA standards.
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. The organization offers a diverse and inclusive environment, with a focus on academic excellence and equal opportunity.
Design and develop ETL pipelines to extract, transform, and load clinical data from various sources into analytic structures.
Implement data quality controls to validate, monitor, and maintain the accuracy and consistency of clinical data across the pipeline lifecycle.
Partner with cross-functional teams including clinical stakeholders, data architects, and IT specialists to build and deploy data models and solutions.
OHSU is Oregon's only public academic health center, providing patient care, groundbreaking research, and training health professionals. As Portland's largest employer, it offers opportunities to learn and advance in a diverse and inclusive environment.
Build and maintain data transformation pipelines using dbt and Snowflake, ensuring data quality and lineage.
Harmonize multimodal clinical data from multiple health systems into a unified ontological layer for AI developers.
Implement data quality tests, CI/CD, and version control best practices for analytics codebases.
Dandelion Health is a health tech company building the world's largest AI training and clinical development platform. It is a small, early-stage startup with a culture of learning from data and improving to help clients improve health through AI.
Lead the design and development of enterprise data architecture for an integrated care platform.
Architect scalable data platforms and leverage AI to enhance operational efficiency.
Establish data governance, integration patterns, and cloud-based solutions using Azure services.
Our client is an award-winning HealthTech IT services company providing digital health and AI development solutions for enterprises from startups to Fortune 20 companies. They have designed systems for over 100 companies, including Penn Medicine and Merck, and have won multiple awards like Fast Company World Changing Ideas and Daveys Gold.
Leverage 6+ years of data analysis expertise in a healthcare setting.
Apply deep knowledge of SQL, Python, and Databricks for data validation and reporting.
Utilize experience with Claims, Membership, or Clinical data to drive insights.
This company is a technology-enabled services firm that connects skilled professionals with healthcare projects. They focus on high-impact data initiatives and value a collaborative, quality-driven culture.
Design, implement, and maintain secure data pipelines and ETL processes for mission-critical systems in AWS GovCloud environments.
Develop and optimize data models and schemas across relational and non-relational databases to support analytics and interoperability.
Collaborate with cross-functional teams to ensure data consistency, security, and integrity while adhering to DevSecOps practices.
DecisionPoint provides IT solutions and services, specializing in federal and defense modernization initiatives. We are an equal opportunity employer committed to diversity and inclusion, with a focus on secure and compliant operations.
Design and build scalable data pipelines using Python and SQL to ingest, transform, and curate data from internal and external sources.
Implement schema validation, data quality checks, and job monitoring to ensure trustworthy data outputs.
Collaborate with analytics engineers, architects, and product partners to define technical requirements and deliver data products.
Cohere Health provides a clinical intelligence platform that uses AI to connect health plans and providers, improving care quality and reducing costs. We are a growing company recognized as a top LinkedIn startup and backed by leading investors, fostering a supportive, growth-oriented culture.
Design and build infrastructure for optimal extraction, transformation, and loading of data using cloud services and SQL.
Develop, maintain, and optimize mission-critical data pipelines to ensure continuous flow of high-quality data.
Collaborate with cross-functional teams to understand requirements and deliver integrated end-to-end data solutions.
This company specializes in data engineering and AI/ML, building robust systems for data flow and accessibility. The team is dedicated to designing and maintaining scalable infrastructure to drive data-driven innovation.