Collaborate closely with our Product Manager and other Data teammates focused on data ingestion and analytics engineering
Support ingestion of a wide range of healthcare-related sources by configuring net-new ingestions, debugging issues, and standardizing processes
Collaborate with data scientist deal owners and internal stakeholders to turn messy requirements into concrete mapping logic and data contracts
Use Dagster and GitHub Actions to orchestrate and automate early stages of data pipelines
Work hands-on with raw data using Jupyter Notebooks in Databricks to investigate data issues
Design and support incremental data loads and safe reprocessing
Learn to use Datadog and PagerDuty to monitor pipelines, triage incidents, and drive root-cause fixes
Contribute to a complex, self-hosted dbt monorepo: implement transformations, incremental models, tests, documentation, and conventions that scale across deals

Requirements

Strong SQL skills
Familiarity with dbt (and an interest in ramping up your expertise)
Working knowledge of Python for data investigation in notebooks
Experience operating data pipelines: debugging failures, tracing issues across systems, and communicating clearly about root cause and mitigation
Experience with testing and data quality: writing and maintaining tests and using failures/alerts to drive durable fixes
Responsiveness and the ability to stay calm and organized when triaging failing ingestion runs or pipelines
Willingness to learn new domains and tools quickly (new partner file formats, evolving standards, Databricks), and apply feedback without ego
The ability to engage technical and non-technical stakeholders to explain what’s happening in our pipelines and identify opportunities to improve transparency and alerting
Nice-to-have: healthcare data exposure (claims/eligibility/ADT/etc.)

Benefits

Health insurance
401(k) matching
Flexible work hours
Paid time off
Remote work options

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLdbtPythondata ingestiondata pipelinesdata qualitydata investigationincremental data loadstransformationstesting

Soft Skills

collaborationcommunicationproblem-solvingresponsivenessorganizationcalmness under pressurewillingness to learnengagement with stakeholdersadaptabilityfeedback receptiveness