Build and maintain ETL/ELT pipelines for healthcare datasets including claims, eligibility, provider, risk adjustment, HEDIS, EHR, and clinical data.
Support data models and transformations aligned with healthcare standards like HL7, FHIR, and X12, while contributing to data quality checks and validation.
Work with analysts and business users to translate data requirements into technical tasks and maintain documentation for data governance.
Curana Health is a national leader in value-based care, providing senior living communities and skilled nursing facilities with solutions like on-site primary care, Accountable Care Organizations, and Medicare Advantage Special Needs Plans. Founded in 2021, the company has grown to serve 200,000+ seniors across 1,500+ communities in 32 states, with a team of over 1,000 clinicians and professionals ranked #147 on the Inc. 5000 list.
Design, build, and maintain scalable data pipelines supporting the modernization of U.S. Army financial systems.
Develop Python-based workflows and cloud-native solutions using AWS services like Glue, Lambda, S3, and CloudWatch.
Collaborate with cross-functional teams to translate business and mission requirements into reliable, secure data solutions.
540 is a forward-thinking technology company that builds impactful solutions for government clients, including modernizing legacy systems for the U.S. Army. The culture is self-starting, innovative, and focused on breaking down barriers to get things done.
Design, develop, and maintain scalable data pipelines and ETL/ELT processes using cloud-native technologies.
Support implementation of modern data platforms, data lakes, and warehouses, while ensuring data quality and performance.
Collaborate with cross-functional teams and clients to translate business needs into technical data solutions.
FormativGroup operates within the critical middle layer of business technology, connecting applications and systems to infrastructure and business processes. They are experts helping the middle market with cloud architecture, system integration, AI, and data strategy, and are growing with a collaborative culture.
Build, maintain, and support ETL/ELT pipelines and data transformations using Python, SQL, and Spark/PySpark.
Troubleshoot pipeline failures and data quality issues to ensure reliable delivery of healthcare data products.
Collaborate with engineering, product, and data consumers to clarify requirements and deliver high-quality data changes.
Definitive Healthcare turns healthcare data, analytics, and expertise into actionable intelligence that helps customers shape the future of healthcare. Founded in 2011, the company supports over 2,400 clients globally and fosters a collaborative, inclusive culture recognized with multiple workplace honors.
Design, develop, and maintain scalable data pipelines, ETL/ELT workflows, and data integration processes for enterprise reporting and analytics.
Build and optimize data transformation solutions using Python and SQL, integrating data from multiple sources while ensuring quality, lineage, and reliability.
Support cloud-based data solutions on Azure and contribute to platform modernization initiatives including Microsoft Fabric and Lakehouse architectures.
Marlabs is a global AI and Digital Solutions Consulting firm that delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with major healthcare, life sciences, financial services, and government organizations worldwide, and we foster an innovative, dynamic team.
Design, develop, and maintain data pipelines and warehouses for business intelligence.
Collaborate with technical users and stakeholders to define data requirements and deliver accurate insights.
Use Python, AWS, and ETL tools to automate, monitor, and optimize data integration jobs.
TaskUs provides outsourced digital services and next-generation customer experience to fast-growing technology companies. With approximately 60,000 employees globally, TaskUs has a People First culture and operates in twenty-three locations across twelve countries.
Design and build data and analytics solutions using Microsoft Azure and Microsoft Fabric.
Develop data pipelines and integration processes using Azure Data Factory, Azure Databricks, Synapse Analytics, Fabric, and related technologies.
Work with project teams and clients to understand requirements and deliver effective solutions.
Quisitive is a global Microsoft partner specializing in cloud transformation, data strategy, cybersecurity, and AI. It has grown significantly since 2016, with teams in the US, Canada, and India and a culture based on craftsmanship and collaboration.
Design, build, and launch high-quality big data solutions on cloud platforms like AWS.
Solve complex data integration problems using ETL patterns, frameworks, and query techniques.
Collaborate with data analysts and scientists to drive profitable growth through data insights.
Mercury Insurance provides auto, home, and business insurance, helping people manage risk for over 60 years. A Forbes-recognized Best Midsize Employer, it values an inclusive, collaborative culture where team members grow and succeed.
Lead technical direction and mentor engineers in modular Python development and SQL optimization.
Architect and optimize high-throughput ETL/ELT workflows using Databricks and Python/PySpark.
Collaborate with government stakeholders to translate complex defense requirements into scalable data pipelines and actionable insights.
Redhorse Corporation is a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. The company fosters a culture of trusted partnership and seeks skilled professionals to support difficult and important mission sets.
Design, build, and maintain end-to-end ETL/ELT pipelines across cloud, on-prem, and hybrid environments.
Integrate SQL Server, APIs, SaaS apps, and file sources while ensuring data quality, validation, and reconciliation.
Model data for analytics and Power BI, supporting enterprise reporting with secure, documented, business-ready datasets.
Climate First Bank is a Florida Benefit Corporation and FDIC-insured commercial bank offering sustainable banking and lending solutions. It is a Certified B Corporation with a mission-driven, people-first culture dedicated to using finance as a force for good.
Design and implement data solutions using cloud-native technologies like AWS, Databricks, and Snowflake.
Develop and optimize complex SQL queries and manage data migration at enterprise scale.
Collaborate with Agile teams to drive software and data engineering for a premier banking client.
Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Our team thrives in a culture of collaboration, creativity, and continuous learning, with over 20 years of success.
Design, build, and maintain robust ETL/ELT pipelines for analytics and reporting on AWS and Databricks.
Develop data processing workflows using Python, SQL, and PySpark within Delta Lake lakehouse environments.
Collaborate with architects and analysts to define data integration standards, optimize performance, and support governance.
Attain Talent is a recruitment and staffing firm that places skilled professionals with organizations like the Centers for Medicare & Medicaid Services (CMS). They focus on fair compensation, comprehensive benefits, and professional development opportunities for their employees.
Lead the design and implementation of scalable data architectures for member communications, defining data models, contracts, and lineage.
Build and optimize production-grade data pipelines using Databricks, Apache Spark, PySpark, and SQL, ensuring reliability and performance.
Establish data-quality and governance practices, and partner with Privacy, Compliance, and Risk teams to manage sensitive member data securely.
Oportun is a mission-driven financial services company that provides responsible credit and savings to help members build a better financial future. Since inception, it has provided over $22.7 billion in credit and saved members more than $2.5 billion in interest and fees, reflecting a culture focused on impact and innovation.
Set multi-quarter technical direction for the data platform and drive alignment on large ambiguous cross-functional projects.
Architect and build scalable, robust data platforms serving analytic and operational needs across the organization.
Champion AI-assisted development practices and improve systems' performance, observability, and reliability.
GameChanger builds the first and best place to experience youth sports moments, helping families elevate the next generation through sports. We are a remote-first, dynamic tech company based in New York City, solving big challenges in youth sports.
Translate business and stakeholder needs into scalable data engineering and data science solutions.
Partner with cross-functional teams to understand requirements, prioritize opportunities, and deliver data-driven outcomes.
Build and maintain ETL pipelines, data integrations, and technical documentation for data assets.
Stryker is a leading medical technology company driven to make healthcare better, offering innovative products in orthopaedics, medical and surgical, and neurotechnology. Named one of the World's Best Workplaces, it is a large global organization focused on improving patient and hospital outcomes.
Build and maintain reliable data pipelines and ETL/ELT workflows.
Develop and optimize data models for analytics and internal tools.
Monitor data pipelines for quality, performance, and reliability.
Sonatype is the software supply chain security company, providing end-to-end software supply chain security solutions and enterprise-grade SBOM management. More than 2,000 organizations, including 70% of the Fortune 100 and 15 million developers, rely on Sonatype, and the company values clarity, learning, and autonomy.
Build, maintain, and optimize data pipelines using Snowflake, Google BigQuery, SQL, and Python.
Develop reusable data models and transformation workflows using SQL, dbt, and established engineering practices.
Collaborate with data architects, analytics teams, and stakeholders to deliver trusted, analytics-ready datasets.
Unlock Health is a full-service marketing communication agency, grounded in technology, built for healthcare. The company integrates brand, marketing, technology, and revenue strategy to help healthcare organizations attract and retain patients, grow brand equity, and protect margins.
Own and scale the end-to-end ingestion to catalog to derived pipeline powering InfraSpec datasets across all core domains.
Lead the migration from legacy scripts to a durable platform, including architecting the greenfield graph layer for RouteFinder.
Enforce data contracts, quality gates, and observability to keep pipeline rework under 20%.
Inflect is building a marketplace that transforms how companies buy and sell digital infrastructure—datacenter, cloud, and network services. As a fast-growing startup, we work quickly and collaboratively; full-time employees receive option grants and share ownership.
Design, build, and maintain production-grade, event-based data pipelines capable of processing thousands of events per second in near real-time.
Implement scalable data modeling designs and orchestration logic to transform raw event streams into optimized data models for downstream business consumption.
Extend core data platform toolsets and manage the release, monitoring, and maintenance of production data pipelines.
KnowBe4 empowers the modern workforce to make smarter security decisions every day. Trusted by more than 70,000 organizations worldwide, the company provides a modern, high-tech, and fun work environment.