Data Solutions Engineer
Confirmed on the employer's own hiring board on Oct 10, 2026. First seen by Alion on Jul 16, 2026.
Join GovWell as a Data Solutions Engineer, where you'll transform messy data into clean, trusted production data. You'll work directly with government staff, lead customer calls, and ensure data quality. This role offers equity ownership, a 401(k) savings plan, unlimited time off, a hybrid work environment, and comprehensive medical, dental, and vision insurance.
Missions
- Own data migrations end-to-end, working directly with government staff to understand their source systems and ensure accurate, complete data lands in GovWell.
- Be the gatekeeper for data quality, identifying gaps, inconsistencies, and edge cases in legacy data before they become production problems.
- Lead customer calls as the technical face of onboarding, clearly explaining data requirements and tradeoffs, and guiding agency staff through the transition from legacy systems to GovWell.
Profil recherché
- 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
- Track record of operating in execution-heavy environments with high ownership and high attention to correctness (where mistakes create customer-facing trust issues)
- Experience translating ambiguous stakeholder requirements into concrete, testable migration/implementation plans (what we’re importing, what we’re not, and why)
- 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