Senior Data Engineer, Public Sector
Build analytical and BI infrastructure for Scale's Public Sector unit. Develop scalable data pipelines, models, warehouses, and quality tests from ambiguous processes to enable decision-making; requires 5+ years experience, SQL mastery, Python/R, DBT, and active Secret clearance.
About the job
Responsibilities
- Build Scale's analytical and business-intelligence infrastructure.
- Understand, mine, aggregate, and expose data across the Public Sector business unit to support decision-making and data exploration.
- Implement data warehouse, data mart, and business intelligence reporting environments; help users transition workflows.
- Collaborate with leadership and cross-functional teams (operations, finance, engineering) to solve complex problems and develop sustainable, scalable data solutions.
- Drive development of pipelines that provide single-source-of-truth foundational accuracy.
- Continually improve ongoing data pipelines and simplify self-service support for business stakeholders.
- Perform regular system audits and create data quality tests to ensure complete and accurate reporting.
- Develop repeatable, scalable analytical solutions such as data models, improved pipelines, or better underlying tables.
Requirements
- Active Secret security clearance (Top Secret preferred).
- 5+ years of relevant work experience in a role requiring application of data modeling and analytic skills.
- Ability to create extensible and scalable data schema and pipelines that lay the foundation for downstream analysis.
- Mastery of SQL and relational databases.
- Experience with programming languages (e.g., Python/R).
- Experience building a reliable transformation layer and pipelines from ambiguous business processes using tools such as DBT.
Nice-to-Haves
- Top Secret clearance preferred.
Compensation and Benefits
- Base salary range for Washington, DC: $150,400–$259,000.
- Eligible for equity (subject to Board approval).
- Comprehensive health, dental, and vision coverage.
- Retirement benefits.
- Learning and development stipend.
- Generous PTO.
- Possible commuter stipend and other benefits.
Skills
SQL, Python, R, dbt, Data Modeling, Data Pipelines, Data Warehouse, Relational Databases, Data Quality Testing
Similar jobs
Data Engineering jobs
tastytrade
Chicago, IL
Own the performance, availability, backup and recovery, upgrades, and observability of high-throughput PostgreSQL environments across on-premises infrastructure and Amazon RDS. The senior role requires production Patroni failover experience, deep PostgreSQL expertise, Linux fundamentals, software development proficiency, and strong documentation skills.
Wrapbook
United StatesBuild and own Wrapbook’s analytics layer, including production pipelines, governed data models, canonical datasets, self-serve analytics, and monitoring. The role requires strong SQL and Python, modern warehouse experience, and 4+ years in data or analytics engineering.
Gusto
Denver, COThe Senior Data Engineer will build scalable pipelines, ETL workflows, and data products while partnering with analytics, product, and engineering teams. The role requires 8–10+ years of experience, strong SQL and programming skills, cloud data-platform expertise, and a focus on reliability, quality, and automation.
Vanta
Remote
Senior Analytics Engineer responsible for designing complex data models, building scalable SQL pipelines, enabling AI tooling, and improving data infrastructure to support self-serve analytics, dashboards, and data science at Vanta. Requires 4+ years data experience, software engineering mindset, and expertise with modern analytics tools like dbt.
Square
California
Senior individual contributor who architects and builds end-to-end people data systems, predictive models, and AI-agent workflows. Requires 8+ years of experience across data engineering and data science, with expertise in Python, SQL, machine learning, sensitive HR data, and agentic AI.