Data Engineer

wisp

Data Engineer maintaining ELT pipelines for Wisp's healthcare services to improve data accessibility and quality. Collaborating with stakeholders to translate business needs into data insights.

Posted 5/21/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $121,000 - $164,000 per yearWebsite

Tech Stack

Tools & technologies

PythonSQLTerraform

About the role

Key responsibilities & impact

Build and maintain ELT pipelines using Fivetran and custom API integrations via Dagster, including setting up new source connectors and troubleshooting.
Manage and improve Dagster orchestration — scheduling jobs, debugging failures, and keeping pipeline runtime tight.
Maintain and improve GitHub Actions CI/CD workflows to ensure safe, reliable deployment of dbt models into production.
Manage and maintain Snowflake infrastructure via Terraform — warehouses, roles, permissions, and resource monitors.
Write dbt models across staging, intermediate, and mart layers — clean, well-tested, and documented so the whole team can trust them.
Identify and address data quality issues before they become problems for the people depending on the data.
Handle ad-hoc analytics requests from stakeholders across the business — translate a business question into a query, turn a query into an insight.
Contribute to recurring deliverables: monthly growth reports, provider audits, forecasting documents, and ongoing Looker maintenance.

Requirements

What you’ll need

3–5 years of experience in data engineering with hands-on analytics engineering experience baked in.
Deeply fluent in SQL and comfortable in Python for pipeline and transformation work.
Hands-on experience with the modern data stack — specifically dbt, Snowflake, Dagster or equivalent orchestration, Fivetran or equivalent EL tooling, and Looker or a comparable BI tool.
Comfortable managing Snowflake infrastructure via Terraform — warehouses, roles, permissions, and resource monitors aren't new to you.
Owned dbt models end-to-end: writing them, testing them, and maintaining them in production.
Analytically sharp — you can sit with a stakeholder's question, figure out what they actually need, and deliver it without a lot of hand-holding.
Energized by variety. On any given week you might be debugging a Dagster job, setting up a Fivetran connector, or writing a mart model.
Bonus: experience with healthcare data, HIPAA-compliant environments, or PHI handling.

Benefits

Comp & perks

Health insurance
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLPythondbtFivetranDagsterSnowflakeTerraformdata modelingdata qualityanalytics engineering

Soft Skills

analytical skillsproblem-solvingcommunicationstakeholder managementattention to detailadaptabilitycollaborationself-motivationcritical thinkingtime management