Own architecture and implementation of scalable data pipelines and data products.
Integrate and transform data from multiple CBP and enterprise sources, developing data models and ontology for applications, reporting, and analysis.
Partner with software engineers, product designers, and customer stakeholders while establishing engineering standards for testing, source control, deployment, and operations.
LMI is a digital solutions provider dedicated to accelerating government impact with innovation and speed, investing in technology and prototypes ahead of need to bring commercial-grade platforms and mission-ready AI to federal agencies. Headquartered in Tysons, Virginia, LMI serves the defense, space, healthcare, and energy sectors with a focus on agility and collaboration, employing a team committed to delivering impactful results.
Build, test, and maintain data ingestion and transformation pipelines that turn raw and synthetic data into governed, analysis-ready data products.
Extend the platform following established architecture and contribute to Terraform and CI/CD workflows.
Monitor data quality and collaborate with data science and ML teams within FedRAMP Moderate and NIST 800-171 constraints.
Peraton is a next-generation national security company that drives missions of consequence for government agencies and the U.S. armed forces. It is a large mission capability integrator and enterprise IT provider with a culture focused on solving daunting challenges and protecting people worldwide.
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.
Build and operate data pipelines into Google BigQuery using incremental loading and change data capture.
Develop bronze, silver, and gold datasets for enterprise reporting and analytics.
Partner with BI, data science, engineering, and business teams to deliver high-quality data.
Vultr provides high-performance cloud infrastructure including compute, GPU, bare metal, and storage solutions across 33 global data centers. It has grown into a leading privately-held cloud infrastructure company, serving hundreds of thousands of customers in 185 countries, with a $3.5 billion valuation.
Own the data platform from architecture through production, handling high-volume ingestion from APIs, webhooks, files, and scraping.
Implement concurrent processing, event-driven intake, and orchestrated batch workflows using tools like Airflow, dbt, and GCP.
Ensure data correctness through idempotent upserts, safe retries, and automated quality checks.
Fundable is a startup data platform that helps investors and teams discover and research companies. It is a small engineering team with broad ownership and a focus on building reliable data infrastructure.
Build and maintain healthcare data pipelines for a statewide Health Information Exchange.
Map clinical terminology and implement data quality validation in engineering workflows.
Remote role requiring U.S. citizenship and ability to obtain a public trust clearance.
VetsEZ is a technology company providing health IT solutions, including health information exchange and data utility projects. The company supports a collaborative remote work environment and values mission-driven teams.
Liaise with business stakeholders to identify data-driven projects and opportunities.
Develop dbt models using SQL expertise and manage Airflow tasks and scheduling.
Mentor team members and oversee analysis to ensure data and insights are accurate.
PENN Entertainment is North America's leading provider of integrated entertainment, sports content, and casino gaming experiences. With locations throughout North America, it offers a fun, relaxed work environment and supports career growth.
Design, build, and maintain scalable data pipelines and platform infrastructure on Snowflake, owning the platform end to end.
Champion data quality, governance, and consistency, ensuring high-trust data for all downstream consumers.
Build with AI-native tooling, setting up development environments and establishing team practices for the AI era.
RxSense is a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. As a leader in SaaS technology for healthcare, we offer innovative solutions with integrated intelligence on a single enterprise platform, connecting the pharmacy ecosystem.
Build and maintain ELT pipelines on Snowflake and dbt, including layered transformations and governed serving structures.
Implement data quality as code with dbt tests, source freshness checks, and pipeline observability.
Migrate legacy analytics workflows to the modern stack and ship data products through evidence-based acceptance gates.
Kapitus is a direct lender and marketplace providing small business financing. It has a fast-paced culture that values self-directed, motivated teammates and rewards them with great benefits and growth opportunities.
Build and maintain an automated data quality suite that runs on data refreshes through Airflow.
Define checks as code with dbt, Soda, and SQL, managed through version control and CI.
Reconcile data across Databricks layers and against downstream outputs with tolerance thresholds.
Gradient AI provides AI solutions for group health and property & casualty insurance, using a SaaS platform with a large industry data lake to predict risks and automate processes. Founded in 2018, they've grown rapidly, raised $56M in Series C, and maintain a fun, team-oriented startup culture.
Design, build, and maintain scalable data pipelines and centralized repositories for reliable analytics.
Perform advanced data profiling, validation, and root cause analysis to ensure data quality.
Mentor junior engineers and collaborate across teams to modernize data infrastructure and processes.
Brown University Health is Rhode Island's largest health system and private employer, comprising hospitals and behavioral health providers. With over 20,000 staff, it fosters a collaborative culture centered on compassion, accountability, respect, and excellence.
Design, build, and maintain scalable ELT/ETL data pipelines and dimensional models for analytics.
Write optimized SQL and Python for data exploration, reporting, and troubleshooting.
Monitor data deliveries, implement quality checks, and collaborate with engineering and business stakeholders.
Troveo builds a data platform for AI labs and model builders, providing the world's largest licensed dataset of proprietary video, audio, text, and business workflow data. Backed by top investors, it's a small, high-impact team focused on solving bottlenecks in AI development with a high-trust, low-ego culture.
Build, extend, and maintain ELT pipelines from enterprise applications, internal systems, and the GitLab SaaS platform.
Manage data infrastructure including Snowflake, Fivetran, Airflow, and Kubernetes, ensuring reliability and cost-efficiency.
Partner with analytics and data science teams to deliver governed, tested, and documented data ready for AI tools and reporting.
GitLab is the intelligent orchestration platform for DevSecOps, helping organizations increase developer productivity and accelerate digital transformation. With over 50 million registered users and a high-performance, AI-first culture, GitLab is fully remote and values-driven.
Design, build, and optimize scalable data pipelines for VA claims processing using Python, SQL, PySpark, and cloud platforms.
Integrate complex datasets from VA systems, claims applications, and medical evidence into secure, reliable data products.
Collaborate with stakeholders to modernize claims processing, improve data quality, and enable analytics and AI.
LMI is a digital solutions provider dedicated to accelerating government impact with innovation and speed, bringing commercial-grade platforms and mission-ready AI to federal agencies. Headquartered in Tysons, Virginia, it serves defense, space, healthcare, and energy sectors with a focus on agility and collaboration.
Architect and maintain robust data ingestion pipelines that feed both application and analytics.
Design well-modeled, layered tables with clean schemas that turn raw data into analytics-ready data.
Build reliable, automated pipelines with data quality tests, monitoring, and safe reprocessing.
GoFasti is a Talent-as-a-Service company that bridges world-class developers and designers from Latin America with first-class companies globally. They focus on remote work and building high-performing, autonomous teams.
Design, build, and operate reliable automated data pipelines for health plan data.
Model complex healthcare data into clear, trustworthy canonical and analytical models.
Bring legacy processes and pipelines into a common platform, extending tooling for partner teams.
Machinify is a leading healthcare intelligence company building AI-powered software that helps health plans pay claims accurately. Deployed by over 85 health plans representing more than 270 million lives, Machinify fosters a flexible, trusting, and remote-first culture.
Design, build, and maintain robust data pipelines that ingest and normalize security data from 120+ sources.
Operate and improve the attribution layer by implementing entity resolution and ownership rules as version-controlled code.
Collaborate with analysts and leadership to provide query support, reporting, and executive metrics that drive security program decisions.
Cisco designs and sells networking, security, and collaboration technologies that power the digital world. With a global team of doers and experts, we foster a collaborative culture that values empathy, innovation, and large-scale impact.
Design, build, test, deploy, and maintain scalable cloud-based data pipelines that ingest and transform data from product, operational, and third-party systems.
Own data-pipeline architecture, including orchestration, monitoring, reliability, performance, and data quality.
Develop workflows, transformations, and data models that transform raw data into useful, trusted, and actionable information.
Karat is the world's largest interviewing company, providing a powerful system for technical leaders at companies like PayPal, Atlassian, and Citi to control how they hire top engineers. The company values data-driven insights, inclusivity, and a diverse workforce.
Own end-to-end delivery of complex data pipelines and integrations, from source onboarding to operational handoff.
Design and maintain dbt models that transform raw data into curated, tested, and consumption-ready datasets.
Ensure pipeline reliability through monitoring, alerting, and root-cause analysis that drives preventative fixes.
Great Minds is a mission-driven Public Benefit Corporation founded by educators in 2007, developing research-based math, science, and ELA curricula trusted by schools nationwide. The organization is high-growth and collaborative, committed to supporting educators and students with meaningful content and responsive service.
Design, build, and maintain scalable ETL/ELT pipelines using Snowflake and Apache Airflow.
Optimize data processing, ensure data quality, and support reliable delivery of data solutions.
Collaborate with engineers, analysts, and stakeholders to turn requirements into effective data engineering.
Element Solutions is a digital transformation partner that builds modern digital solutions for government and commercial customers. It is a remote-first, HUBZone-certified company based in Washington, DC, with a vibrant team focused on impactful work.