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.
Build and modify high-complexity ETL and data pipelines for large-scale datasets.
Develop monitoring and alerting systems to proactively identify data and infrastructure issues.
Lead end-to-end data engineering initiatives across cross-functional teams, including planning and system design.
ItD is a new generation consulting and software development company that blends diversity, innovation, and integrity. It is a woman- and minority-led firm with a global community, offering opportunities with Fortune 500 companies and high-performance teams.
Own customer data integrations for hospital systems from discovery to production
Design and build reliable data pipelines ingesting ERP and operational data
Troubleshoot integration failures and build reusable connectors for scale
Clarium is an AI-powered healthcare supply chain platform reducing hospital overspending through its Astra OS. Founded in 2020, it has raised $43M and is trusted by top health systems, with a high-growth, collaborative culture.
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.
Lead high-impact, company-wide data initiatives and mentor junior engineers to foster technical excellence.
Design and architect scalable data solutions, including ELT/ETL pipelines and optimized data models.
Ensure data quality and platform stability through rigorous frameworks and on-call support.
Atlassian is a software company that creates collaboration tools like Jira and Confluence to help teams work together. With a global workforce and a culture centered on teamwork and flexibility, Atlassian empowers employees to do their best work.
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 data pipelines, ETL/ELT processes, and API integrations.
Develop and maintain dashboards, reports, and data models using Power BI, GoodData, and Databricks.
Work with stakeholders to translate business requirements into reliable, accurate analytics solutions.
Dijital Team is a technology company that delivers data engineering, analytics, and business intelligence solutions for clients. We foster a collaborative and flexible culture with remote work, team events, and a strong focus on employee well-being and continuous learning.
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.
Design, implement, and operate high-throughput data ingestion pipelines that transform raw pentest output into structured, queryable data at scale.
Own end-to-end delivery of pipeline features including schema design, implementation, testing, deployment, and monitoring in containerized environments like Kubernetes and AWS.
Partner with downstream teams to define data contracts and resolve production issues in pipeline latency, data correctness, and throughput.
Horizon3 is a fast-growing, remote cybersecurity company that helps organizations proactively find and fix exploitable attack vectors before criminals exploit them via its NodeZero autonomous pentesting platform. The team is a small, collaborative group of former special operations cyber operators and engineers committed to a culture of respect, collaboration, ownership, and results.
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.
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, 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.
Build and operate ingestion pipelines for flight test, simulation, and operational data with quality validation.
Implement dataset curation and versioning with full lineage tracking.
Automate mining and triage for rare events and close the loop on operational signal.
Merlin is a publicly traded aerospace and defense company building a non-human pilot for full-stack aircraft autonomy. Headquartered in Boston, it has flown hundreds of autonomous flights and is expanding its team to accelerate development and commercialization.
Own the end-to-end Databricks data lake, dbt models, medallion layers, and data quality monitoring.
Build AI data infrastructure including embedding pipelines, vector stores, and feature stores.
Develop and maintain cloud databases, optimize analytics dashboards, and collaborate with cross-functional teams.
Quandri builds an AI operating system to transform insurance for North American agencies and brokerages. The company is a fast-growing startup recognized by LinkedIn and Deloitte, with a culture centered on ownership, curiosity, and execution.
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 maintain data pipelines using SparkSQL and Pyspark within a central data lake.
Collaborate with cross-functional teams like Data Science, AI/ML, and other engineers to ensure high-quality data.
Champion Samsara’s cultural principles while building reliable, customer-facing data sets.
Samsara is the pioneer of the Connected Operations Cloud, enabling organizations to harness IoT data for safety, efficiency, and sustainability. As a publicly traded company, it fosters a culture of growth mindset and customer success, supporting a global team.
Contribute to the design, implementation, automation, and support of enterprise-scale cloud data platforms using Databricks, AWS, and Infrastructure as Code.
Lead the design and development of ETL/ELT pipelines within Databricks using PySpark, Spark SQL, Delta Lake, and Databricks Workflows.
Build, deploy, and monitor ML models and data infrastructure to ensure high availability, scalability, and performance.
Scout Motors is an automotive company reviving the iconic Scout vehicle as an electric pickup truck and rugged SUV brand. The company fosters an inclusive, entrepreneurial culture focused on innovation, respect, and building from the ground up.
Build scalable, high-load systems in Python and work with big data processing 200–400M+ records per day.
Design and develop integrations with external channels behind a unified data model and API.
Ensure data quality and consistency across channels through validation, reconciliation, and monitoring.
SplitMetrics is a global software company providing a growth engine for mobile-first businesses through its ecosystem of products and services, including Apple Ads optimization and A/B testing. With over 11 years of experience and a remote-first culture, the company collaborates across 20+ countries and values transparency, speed, and continuous learning.
Build and maintain ingestion pipelines from production source systems.
Write transformation models that turn raw data into reliable datasets.
Apply dimensional and medallion modelling patterns for the warehouse.
PerfectServe provides clinical communication and physician scheduling solutions for healthcare. Founded in 1997, the company has 400+ employees, 30,000+ customers, and $100M+ annual revenue, fostering a collaborative and innovative culture.
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.