Data Solutions Engineer

GovWell • New York, NY

21h • $130,000 - $180,000 • Hybrid

About The Position

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%. This role is crucial for ensuring that when a city switches to GovWell, their data is migrated accurately and efficiently. The Data Solutions Engineer will own the entire data migration process, from understanding source systems to ensuring clean, trusted production data lands in GovWell. This involves writing SQL/Python, leading calls with government staff, and making critical judgment calls on data quality. The role reports to the Co-Founder & CTO and collaborates with Deployment, Product, and Engineering teams, influencing the onboarding process as the company scales. The work environment is hybrid, requiring 3+ days per week in the New York City office with flexibility for remote work.

Requirements

• 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.
• 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).
• Strong SQL proficiency used in practice for analysis, validation, reconciliation, and transformation work.
• Experience translating ambiguous stakeholder requirements into concrete, testable migration/implementation plans (what we’re importing, what we’re not, and why).
• Track record of operating in execution-heavy environments with high ownership and high attention to correctness (where mistakes create customer-facing trust issues).

Nice To Haves

• 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.

Responsibilities

• Own data migrations end-to-end, working directly with government staff to understand source systems, configure schema mappings and ingestion settings, run validations and dry-runs, and ensure accurate, complete data lands in GovWell.
• Act as the gatekeeper for data quality by identifying gaps, inconsistencies, and edge cases in legacy data before they become production problems, making documented judgment calls within defined constraints, and preventing bad or unsafe data from reaching production.
• Serve as the technical face of onboarding by leading customer calls, clearly explaining data requirements and tradeoffs, and guiding agency staff through the transition from legacy systems to GovWell with calm confidence.
• Improve the migration process by using internal tools, templates, and playbooks to reduce time-to-launch and minimize manual work, contributing to a future where migrations are predictable, repeatable, and fast.
• Close the feedback loop with Product and Engineering by documenting recurring issues, unmet assumptions, and tooling gaps encountered during migrations, helping the platform evolve based on field observations.

Benefits

• Competitive base salary
• Equity / stock options
• Medical, dental, and vision insurance
• 401(k) program

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed