Data Engineer

Employment type: Full-time

Salary: USD $128,945-$157,850 annually, with offer targets based on geographic location

Schedule: Monday-Friday, 40 hours per week; availability required from 10 AM to 3 PM Pacific Time

Make public-service data reliable and accessible

Lead the technical delivery of data infrastructure supporting government services across tax, criminal justice, and social safety net programs. Your work will improve how teams collect, move, model, and analyze data to understand whether these services meet people's needs.

Reporting to a Data Science Manager, you will guide technical decisions, build and operate data infrastructure, and mentor engineers and data scientists. You will collaborate with product, engineering, and government partners to deliver trustworthy data and measurable improvements.

Infrastructure and delivery

• Lead technical planning with data scientists, software engineers, and product managers, translating architecture requirements into scalable solutions.
• Build data pipelines, transfers, and compliance-oriented infrastructure within cloud environments.
• Implement data transformation, integration, and validation processes for analytics and reporting.
• Improve dataset management, consistency, and performance.
• Partner with DevOps on deployment standards, monitoring, and operational practices.
• Investigate data issues in the systems you own, communicate findings, and recommend process improvements.
• Optimize pipelines for speed, reliability, and efficiency.
• Develop and implement data architecture recommendations.
• Apply privacy, security, and governance practices throughout the data lifecycle.
• Produce clear technical documentation and learning materials.

Technical leadership and collaboration

• Establish and reinforce data engineering standards and best practices.
• Help cross-functional teams adapt to changes in priorities, technology, and tooling.
• Mentor engineers and data scientists through pairing, documentation, and direct coaching.
• Support sound architectural decisions and help teammates work confidently in unfamiliar technical areas.
• Contribute to additional projects as organizational needs evolve.

Qualifications

• 7+ years of experience in data engineering or related technical fields.
• Expert-level SQL and experience with Python and R.
• Experience with Postgres and cloud data warehouses such as BigQuery or Snowflake.
• Expertise with orchestration tools such as Dagster for building and managing pipelines.
• Expertise with dbt for warehouse transformation and data modeling.
• Experience with Metabase or comparable BI tools such as Tableau, Power BI, or Looker.
• Experience making pipelines accessible to data scientists through notebook tools such as Hex.
• Experience with cloud infrastructure and infrastructure as code.
• Strong cross-functional collaboration, stakeholder management, and decision-making facilitation skills.
• Excellent written and verbal communication in English.
• Ability to use AI coding tools responsibly, validate generated code, and model effective review practices for teammates.
• A commitment to making government services work well for the people who need them most.

Additional experience valued

• Experience improving government services.
• Personal or professional experience with the social safety net or related public services.
• Experience integrating AI-powered features into production systems, including evaluation and monitoring.

Benefits and working arrangements

• A provided laptop and up to $700 for remote workspace setup, consisting of a $200 stipend and up to $500 in reimbursement under the equipment policy.
• $50 monthly reimbursement for cell phone and/or internet expenses.
• A $500 annual professional development stipend, prorated at hire, with up to $500 carried forward each year to a maximum balance of $1,000.
• Training and guidance for role-related AI use, plus opportunities to develop additional AI skills.
• A 401(k) plan with a 100% employer match on the first 3% of employee contributions, plus an additional service-based match after three years.
• At least one health insurance option with no employee-only premium for full-time employees, plus coverage of at least 80% of dependent coverage costs.
• Open personal time off, subject to manager approval.
• At least 14 paid holidays and an organization-wide closure from Christmas Day through New Year's Day.
• Up to 96 hours of paid sick time annually.
• 17 weeks of paid parental and family leave.
• A three-week paid sabbatical after five years of service.