Senior Data Engineer, Public Sector

Scale AI
Washington
Workplace: OnsiteFull timeUSD 150,400 - 259,000 annuallyFunction: Government & Public AdministrationExperience: 5+ yearsSkills: ["Collaboration","Problem-solving","Scalability"]

Build analytical and business-intelligence infrastructure for the public sector business unit, developing data warehouse, data marts, and BI reporting environments. Own end-to-end data responsibilities—understanding, mining, aggregating, and exposing data for timely decision-making and data exploration. Collaborate with operations, finance, and engineering to create reliable single-source-of-truth pipelines, improve data quality through audits and tests, and help stakeholders transition workflows.

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FursaFursa
Scale AI
Scale AI
1 month ago

Senior Data Engineer, Public Sector

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Build analytical and business-intelligence infrastructure for the public sector business unit, developing data warehouse, data marts, and BI reporting environments. Own end-to-end data responsibilities—understanding, mining, aggregating, and exposing data for timely decision-making and data exploration. Collaborate with operations, finance, and engineering to create reliable single-source-of-truth pipelines, improve data quality through audits and tests, and help stakeholders transition workflows.
Location: Washington
Workplace: Onsite
Employment Type: Full time
Job Function: Government & Public Administration
Seniority: Mid level

Key Responsibilities

  • •Develop pipelines that provide single-source-of-truth foundational accuracy across operations, finance, and engineering.
  • •Improve ongoing data pipelines and simplify self-service support for business stakeholders.
  • •Conduct regular system audits and create data quality tests to ensure accurate reporting of data and metrics.
  • •Build repeatable, scalable analytical solutions such as data models, improved pipelines, and better underlying tables.
  • •Implement data warehouse, data mart, and business intelligence reporting environments and help users transition workflows.

Pay and Benefits

Salary: USD 150,400 - 259,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionRetirementLearning BudgetPaid Leave

Key Requirements

  • •5+ years of relevant experience applying data modeling and analytic skills.
  • •Ability to create extensible, scalable data schema and pipelines for downstream analysis.
  • •Mastery of SQL and relational databases, with experience using programming languages such as Python or R.
  • •Experience building reliable transformation layers and pipelines from ambiguous business processes, using tools like dbt.
  • •Have an active Secret security clearance (Top Secret preferred).
Experience:5+ years
Skills:CollaborationProblem-solvingScalability
Languages:English
Tech Stack:SQLDbtPythonR

Eligibility

Security Clearance:Secret

Company Brief

Scale AI
Provides data labeling, annotation, and infrastructure services to accelerate machine learning and AI development. Supplies high-quality training data, tooling, and APIs for customers in autonomous vehicles, mapping, robotics, and enterprise AI applications.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2016
WebsiteLinkedIn