Data Engineer - US Remote
PerfectServe2 months ago
Remote, United StatesMid Level
Base Salary
$115k - $140k/yr
Responsibilities
- Build and maintain ingestion pipelines from production source systems.
- Write transformation models that turn raw data into trusted datasets.
- Apply dimensional and medallion modeling patterns as the warehouse develops.
- Deploy pipelines to production and implement idempotency and data quality checks.
- Contribute to data model, schema, and design reviews.
- Document systems and maintain runbooks for owned pipelines.
Requirements
- Professional experience building data pipelines with production ownership.
- Strong SQL skills and working programming ability in Python, Go, or an equivalent language.
- Hands-on experience with dbt or another transformation framework.
- Experience with a cloud data warehouse such as Snowflake, BigQuery, Redshift, or similar.
- Practical ELT and orchestration experience with Fivetran, Airflow, or equivalent tools.
- Working AWS knowledge, including object storage, access fundamentals, and data-movement networking.
- A data-focused testing mindset beyond testing application code.
- Preferred experience with change-data-capture, SQL Server sources, healthcare or regulated data environments, and BI or semantic layers.
Benefits
- Remote-first work environment.
- Health, dental, vision, life, and disability insurance available on day one.
- 401(k) with company match and immediate vesting.
- 17 company holidays, 2 floating holidays, and a competitive paid time off policy.
- Internal advancement opportunities.
Tech Stack
Categories
Data Engineering
About PerfectServe
PerfectServe builds cloud software for hospitals, health systems, and medical practices to manage clinical communication, care team collaboration, and physician scheduling, plus patient engagement. Its SaaS platform routes messages, calls, and alerts to on-call providers and supports on-call scheduling and workflow automation. Founded in 1997 and headquartered in Miami, Florida, PerfectServe is privately held.