Source Job

• Investigate source systems and data with mission users to define entities, relationships, and quality expectations.
• Build ingestion and transformation pipelines for structured data, documents, APIs, and operational records.
• Implement quality checks, lineage, freshness monitoring, and access controls for trusted data.

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, LMI serves the defense, space, healthcare, and energy sectors with a focus on agility and collaboration, 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.

• 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 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.

• 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.

• 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.

• 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, 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.

• Lead architecture and technical decision-making across the data lifecycle, from ingestion to consumption by products and AI.
• Drive modern engineering approaches through proofs of concept, technology evaluation, and reimagining solutions for scale.
• Mentor engineers and build a culture of strong software engineering practices, experimentation, and shared technical ownership.

Applied Systems provides software, data, and intelligent systems that connect agencies and carriers across the insurance lifecycle. With 40+ years in insurtech, the company builds on a culture of learning, experimentation, and shared ownership.

• 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.

• Build audience pipelines and onboard partner data with repeatable patterns.
• Deliver data to external partners through APIs, files, and data shares with tracking.
• Set technical direction, lead design reviews, and mentor data engineers.

Consumer Edge is a leading data and insights-as-a-service company specializing in consumer, B2B, and healthcare economies. It is a dynamic team that delivers real-time, transaction-based intelligence with deep industry expertise.

• Own identity data, designing models and matching logic for accuracy and auditability.
• Build data pipelines and maintain partner identifier mappings for data products.
• Set technical direction, lead design reviews, and drive AI-first development with guardrails.

Consumer Edge is a leading data and insights-as-a-service company specializing in global consumer, B2B, and healthcare economies. They have a dynamic, high-performance team culture working at the forefront of data-driven decision-making.

• 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 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.

• Own the enterprise data architecture and roadmap, designing scalable data platforms on Google Cloud and BigQuery.
• Lead data engineering, build batch and streaming pipelines, and consolidate analytics platforms into a single source of truth.
• Partner with business leaders and mentor a growing data team to turn business needs into governed data solutions.

Underscore is a media and analytics company that builds data products and client reporting solutions. They are committed to creating a diverse and inclusive workplace and are growing their data engineering team.

• Architect and implement scalable Data Lakehouse solutions on Google Cloud Platform using BigQuery, GCS, BigLake, and Dataplex.
• Collaborate with customers to translate business goals into robust architectural blueprints and actionable data solutions.
• Design and manage data pipelines for real-time and batch ingestion, enforcing best practices for data governance, security, and quality.

Egen is a fast-growing data consulting firm specializing in Google Cloud and Salesforce platforms. The company fosters a culture of learning and innovation, bringing together top engineering talent to solve complex data challenges.

• Design, build, and maintain reliable data ingestion pipelines connecting enterprise systems like Banner/Ellucian ERP.
• Develop scalable data transformations using medallion architecture, Databricks, Delta Lake, Python, and SQL.
• Collaborate with analysts and stakeholders to design data models and trusted data products for institutional decision-making.

University of Idaho is Idaho's flagship land-grant research university and an R1 institution recognized for high research activity. With a mission centered on education, discovery, and service, it is transforming its data infrastructure to support analytics and AI across the institution.

• Build, maintain, and improve data pipelines and ingestion processes on GCP.
• Develop SQL and dbt transformations on BigQuery, using Kafka and Apache NiFi for streaming and ingestion.
• Support production workflows and contribute to architecture discussions with the client team.

Software Mind develops custom software and builds cross-functional engineering teams for tech giants, unicorns, and global companies. Its culture is open, respectful, and collaborative, combining a non-corporate atmosphere with a passion for emerging technologies.

• Build data pipelines that pull information from ERP, CRM, and accounting systems, covering ingestion, processing, and storage.
• Put data quality and lineage controls in place so any number can be traced back to its source.
• Build and manage training and evaluation datasets that power and measure AI models.

Lunon is an AI-native consulting firm in New York City backed by General Catalyst, embedding engineers inside client businesses to ship AI solutions that run without them. The team is young and fast-moving, with everyone owning what they ship end to end.

• 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.