USASenior Data Engineer
1 нед. назад
200k–275k USD / yearUSASeniorOnsite
sqlpythonmariadbpostgresqlmongodbs3snowflakedbt
Senior Data Engineer responsible for building and maintaining data pipelines, transformation layers, access control, and supporting AI and analytics teams.
Обязанности
- You will be 's first dedicated data engineer, and you will own the plumbing end to end: how data moves from our production systems into our lakehouse and warehouse, how it gets transformed into trusted, documented tables, and who can access what.
- This role serves every team in the company: AI engineering, product, finance, partnerships, and data to name a few.
- Build reliable, monitored CDC pipelines from our production databases (MariaDB, PostgreSQL, MongoDB) into our S3 + Iceberg lake and Snowflake
- Stand up a transformation layer (e.g. dbt) on Snowflake so core business metrics (visits, bookings, revenue, retention) come from tested, version-controlled models
- Select and implement an orchestration tool so pipelines and dashboard refreshes run automatically, with alerting when they break
- Design and enforce the access control model for patient data: row/column-level PHI restrictions, HIPAA Safe Harbor compliance, anonymization pipelines, and account deletion workflows
- Establish a single governed copy of production data that analytics, finance, and the AI team all read from
- Support the AI team's data needs for model training
- Design and build a best-practice warehouse architecture with clean raw, transformed, and business-ready layers powering our executive dashboards
Требования
- 5+ years of data engineering experience, including ownership of production data platforms end to end
- Strong SQL and Python, with experience building and operating ELT/CDC pipelines (Fivetran, Airbyte, or similar)
- Hands-on experience with a modern lakehouse/warehouse stack: S3, Apache Iceberg, a catalog layer, and Snowflake or an equivalent warehouse
- Experience with transformation frameworks (dbt or similar) and orchestration tools (Airflow, Dagster, Glue workflows, or similar)
- Solid AWS fundamentals: IAM, Lambda, Kinesis, Glue
- A pragmatic, reliability-first mindset
- Comfort operating with high autonomy and minimal specs in a flat, engineering-first organization
- Strong communication skills; you'll work directly with product, marketing, finance, and AI stakeholders
Будет плюсом
- Experience with HIPAA/PHI data governance, anonymization, or healthcare data
- Experience with event/behavioral data pipelines (ClickHouse, GTM/server-side tracking, CDPs)
- Familiarity with ML data workflows: feature pipelines, training datasets, notebook environments (SageMaker, Databricks, Jupyter)
- Experience with BI tooling (Metabase or similar) and semantic/metrics layers
- Prior experience as the first or only data engineer at a startup
Условия
- Base salary range: $200,000 to $275,000 annually, depending on experience, plus meaningful equity