# Senior Data Engineer Backend

**Company:** [Flaglerhealth](https://hotfix.jobs/companies/flaglerhealth)
**Location:** Vancouver, Canada
**Role:** Data Engineering
**Experience:** 5+ years
**Skills:** SQL, Python, Spark, Delta Lake, Databricks, TypeScript, MongoDB, Change Data Capture, Temporal, Terraform, CI/CD, Unity Catalog, HIPAA
**Posted:** 2026-09-08

> Senior Data Engineer responsible for building and operating reliable clinical and claims data pipelines, CDC systems, quality controls, and de-identified exports. The role requires 5+ years of production pipeline experience plus strong SQL, Python, Spark, and data-governance skills.

## Job Description

## Responsibilities
- Build and operate ingestion pipelines from EHR systems into Databricks, including landing, validation, normalization, and silver and gold tables.
- Onboard new clinics by understanding export formats and implementing scheduled orchestration.
- Maintain change-data-capture from the MongoDB application database into the analytics layer and ensure consistency.
- Build de-identified data exports for research partners with controls preventing identifiers from leaving the platform.
- Own data quality through freshness checks, source reconciliation, and proactive alerting.
- Investigate data incidents, identify root causes, and perform safe backfills.
- Write orchestration code in TypeScript alongside the backend team.

## Requirements
- 5+ years of experience building and operating production data pipelines.
- Strong production experience with SQL and Python.
- Hands-on experience with Spark or a comparable engine and Delta Lake or an equivalent table format.
- Knowledge of idempotency, deduplication keys, event ordering, and schema evolution.
- Experience with change-data-capture or event-stream processing from an operational database.
- Willingness to write TypeScript for orchestration code.
- Understanding of sensitive-data leakage risks, including through file names, object keys, and logs.
- Comfort solving ambiguous data-integration and data-quality problems.

## Nice to Have
- Familiarity with Databricks and Unity Catalog, including governance and access controls.
- Experience with Temporal or another durable-execution engine.
- Hands-on experience with MongoDB.
- Familiarity with healthcare data, including claims, CPT and ICD-10 codes, and HIPAA de-identification rules.
- Prior experience with TypeScript or Node.js.
- Experience with infrastructure as code using Terraform and CI/CD for data pipelines.

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