Data Solutions Engineer

We the people — and the taxpayers — deserve good government. Yet today, interacting with government services is often frustrating and inefficient. GovWell is building the AI operating system transforming how governments serve communities, starting with local agencies.

GovWell replaces legacy software for municipalities and counties, empowering public servants to radically streamline public services and cut internal processing time for permits and licenses by up to 95%.

Founded in 2023, GovWell powers 5,000+ mission-critical processes for agencies in 35+ states serving millions of residents. The company has raised $35M in funding from Insight Partners, Work-Bench, and Bienville Capital, and the team works in person at GovWell HQ in New York City. Read more about our founding story in TechCrunch.

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  2-4 years of hands-on experience in data migrations, ETL/ELT, technical implementations, or a closely related role working with messy, real-world production data.

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  Demonstrated ability to work directly in a Python codebase day-to-day (reading, debugging, and shipping changes via PRs) — ideally in a data/pipeline repo (e.g., Airflow DAGs, ingestion jobs, migration utilities).

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  Strong SQL proficiency used in practice for analysis, validation, reconciliation, and transformation work.

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  Experience translating ambiguous stakeholder requirements into concrete, testable migration/implementation plans (what we’re importing, what we’re not, and why).

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  Track record of operating in execution-heavy environments with high ownership and high attention to correctness (where mistakes create customer-facing trust issues).

• Experience with workflow orchestration and pipeline operations (Airflow, Dagster, Prefect, etc.), including interpreting logs, safe reruns, and handling large backfills/imports.

• Experience with customer-facing implementation/onboarding work (especially where you need to explain constraints and tradeoffs to non-technical stakeholders).

• Familiarity with geospatial data concepts or GIS tooling (e.g., ArcGIS, address/parcel data), or strong willingness to learn quickly.

• Experience in B2B SaaS (or similarly complex product domains) where data correctness materially impacts user workflows.

• Experience partnering closely with product/engineering teams to turn recurring operational pain into playbooks, tooling improvements, and system-level fixes.

• SQL – your core tool for validation, reconciliation, and troubleshooting

• Python – used in data workflows and automation

• Airflow – for managing data migration pipelines

• PostgreSQL – our core database

• RedwoodJS, GraphQL, TypeScript, AWS – the broader software engineering environment you’ll interact with