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Senior Data Engineer, Public Sector

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  • Company: Scale AI
  • Location: Washington, DC
  • Salary: $150,400–$259,000/yr
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  • Full Time
  • Washington, DC
  • $150,400–$259,000/yr
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  • $150,400–$259,000/yr

Scale AI at a glance

scale.com
  • Founded 2016
  • Employees 900

SEC filings mentioning "Scale AI": 471search EDGAR

Federal funding recipient: largest known award $105.6M from the Department of Defense (started Sep 29, 2020) — via USAspending.gov

The contractor shall perform research, development, design, configuration, implementation, and testing of machine learning algorithm in accordance with the t…

836 employees covered under a retirement plan (2024 filing) — via DOL Form 5500 / EFAST2

Registered as a global legal entity (LEI 2549009WDXIYQKT0WP71, US) — via GLEIF

28,631 Wikipedia views in June 2026 — a rough gauge of public visibility.

Source: Wikipedia

Join Scale AI in Washington, DC as a Senior Data Engineer, Public Sector, where you'll architect and maintain the data infrastructure that powers AI systems for government and enterprise partners. This full-time role offers the opportunity to build scalable data solutions at the intersection of public sector innovation and cutting-edge AI technology.

Role Overview

Scale AI partners with U.S. government agencies, Fortune 500 companies, and leading institutions to develop reliable AI systems for mission-critical applications. In this position, you'll design and implement the analytical backbone of our public sector business unit—building data warehouses, business intelligence systems, and transformation pipelines that enable data-driven decision-making across our organization. You'll work at scale, processing millions of API transactions and converting them into actionable insights that inform company strategy and customer success.

Your Responsibilities

  • Architect and develop end-to-end data pipelines using modern transformation frameworks to create a single source of truth for operations, finance, and engineering teams
  • Design and maintain scalable data schemas, warehouse structures, and analytical models that support both ad-hoc exploration and production reporting
  • Implement comprehensive data quality frameworks, including automated testing and validation, to ensure accuracy and reliability across all reporting systems
  • Partner with cross-functional stakeholders to translate complex business requirements into robust, maintainable data solutions
  • Continuously optimize existing pipelines and expand self-service analytics capabilities to reduce dependency on manual data work

What We're Looking For

  • Active Secret security clearance (Top Secret clearance preferred)
  • 5+ years of professional experience in data engineering or closely related analytics roles involving data modeling and pipeline development
  • Advanced proficiency in SQL and relational database design, with the ability to optimize complex queries and schema structures
  • Strong programming skills in Python, R, or similar languages to support data automation and analysis
  • Hands-on experience building transformation layers using DBT, Apache Airflow, or equivalent workflow orchestration tools
  • Demonstrated ability to design extensible, performant data architectures that scale with organizational growth

Why Join Scale AI

Scale AI is on a mission to ensure reliable AI systems power the world's most important decisions. We work directly with leading technology companies, government agencies including the U.S. Army and Air Force, and major enterprises to deliver high-quality data infrastructure and AI solutions. You'll join a team committed to inclusivity and belonging, working alongside talented engineers solving real-world problems. We offer comprehensive health, dental, and vision coverage, retirement benefits, a professional development stipend, generous paid time off, and potential commuter benefits. Eligible team members also receive equity compensation, reflecting our commitment to shared success.

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equity
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What people say about Scale AI

Recent news

Aggregated from public discussions and news; opinions are the authors’ own.

Working in Washington, D.C., US

Weather right now in Washington, D.C., US: checking… · Local time: · Air quality: · Daylight: · UV index: · Wind: · Pollen:

Washington, D.C., officially the District of Columbia and commonly known as Washington or D.C., is the capital city and federal district of the United States. The city is on the Potomac River across from Virginia and shares land borders with Maryland to its north and east. It was named after George Washington, a Founding Father and the first president of the United States. The district is named fo

🇺🇸 Relocation safety for US: Exercise Normal Cautionvia Warnely, CC BY 4.0

National unemployment rate in US: 4.2%via World Bank

Private-sector wage growth (year over year): 3.3%via FRED

National quits rate: 1.9%via FRED (BLS JOLTS)

Weekly initial unemployment claims: 215,000via FRED

GDP per capita in US: $90,027via World Bank

Consumer price inflation in US: 2.9% (annual) — via World Bank

Real GDP growth in US: 2.2% (annual) — via World Bank

Average hours worked per year in US: 1,800via OECD

Cost of living in District of Columbia: 9.9% above the national averagevia BEA

Real GDP per capita in District of Columbia: $210,045via FRED

Home prices in District of Columbia (year over year): +0.9%via FRED

Nearby history: U.S. Department of the Treasury, listed 1971 (330m away) — via National Register of Historic Places

Typical climate: average high 68°F / low 48°F year-round (summers around 88°F, winters around 29°F) — via NOAA 1991-2020 Normals

Walkability: Most walkable (18.0/20) — via EPA National Walkability Index

Typical rent nearby: $2,015/mo (1BR) · $2,246/mo (2BR) — via HUD Fair Market Rents

  • Elevation 7m (23 ft)

Source: Wikipedia (state)

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Listing facts

  • Role Senior Data Engineer, Public Sector
  • Employer Scale AI
  • Location Washington, DC
  • Type Full Time
  • Pay (from listing) $150,400–$259,000/yr
  • Posted July 10, 2026
  • Apply by 2026-08-10
  • Country context US
  • Overview Full original description on this page (437 words; rewritten for clarity, not a teaser paste)

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Senior Data Engineer, Public Sector Scale AI