# Senior Data Engineer

**Company:** [Ambience Healthcare](https://hotfix.jobs/companies/ambience-healthcare)
**Location:** San Francisco, CA
**Role:** Data Engineering
**Salary:** $200k – $250k/yr
**Experience:** 5+ years
**Skills:** Snowflake, SQL, Python, TypeScript, ETL, ELT, Data Warehousing, Data Lakes, dbt, Dagster, Airflow, RBAC, Looker, Tableau, Mode
**Posted:** 2026-08-04

> The Senior Data Engineer will build and operate trusted pipelines, governed metrics, and self-service analytics for clinical and operational data. The role requires 5+ years of production data engineering experience, strong Snowflake, SQL, and Python skills, and comfort owning data quality end to end.

## Job Description

## Responsibilities
- Build and operate pipelines that ingest, validate, and transform clinical and operational data at scale.
- Partner with engineering, clinical, and product teams to design actionable dashboards and analytics.
- Apply best practices for data warehousing, orchestration, governance, and role-based access control.
- Build file-based ingestion pipelines for external data sources, including automated validation, triggering, and error handling.
- Implement data validation frameworks using Python or TypeScript.
- Design SQL and dbt transformation layers to standardize and cleanse raw data.
- Build and maintain governed metrics and analytical schemas that support customer and third-party verification.
- Enable tiered self-service analytics for technical and non-technical employees.

## Requirements
- 5+ years of experience in a production data engineering role.
- Hands-on Snowflake experience, including data modeling, performance tuning, and warehouse administration.
- Strong SQL skills and proficiency in Python.
- Experience building ETL/ELT pipelines, data lakes, or data warehouses in modern cloud environments.
- Understanding of data validation, schema design, and scalable architecture.
- Ability to communicate clearly with technical and non-technical stakeholders and present to cross-functional teams.
- Experience owning production pipelines end to end and applying data observability and quality practices.

## Nice-to-haves
- Early-stage startup experience.
- Experience in regulated industries such as healthcare or finance.
- Familiarity with dbt, Airflow, Dagster, Looker, Tableau, or Mode.

## Compensation and Benefits
- Base compensation: **$200,000–$250,000 per year**, excluding equity or bonus targets.
- Medical, dental, and vision coverage for employees and dependents.
- 401(k) with company match of up to 3% of base salary.
- Remote-friendly culture with a San Francisco headquarters and equipment provisioning.
- Parental leave.
- Company and team off-sites, lunches, and all-hands gatherings with travel, lodging, and meals covered.
- Flexible time off with no annual cap, company holidays, and an annual holiday shutdown from December 24 through January 1.

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