DATA ENGINEER
$130,000–$130,000 year
Remote · Boulder, Colorado, United States
Job Summary
Data Engineer to overhaul and expand analytics/backend data pipelines. Responsibilities include developing and maintaining data ingestion pipelines into BigQuery, replacing legacy ETL/ELT processes with modern solutions, setting up monitoring and workflow visibility, contributing to orchestration design (Airflow, Dagster, Prefect), supporting DBT development and CI/CD practices, tuning BigQuery performance and managing access/security controls, and maintaining data flow diagrams and catalogs. Requires 3+ years of data engineering, strong SQL with BigQuery/Snowflake/Redshift, orchestration tooling experience, familiarity with GCP services, DBT, Docker, CI/CD, and ingestion tooling (e.g., Fivetran); knowledge of data governance or SOC 2 is preferred.
Required Qualifications
- 3+ years in data engineering
- Strong SQL skills with BigQuery, Snowflake, or Redshift
- Hands-on work with orchestration tools (e.g., Airflow, Dagster, or Prefect)
- Familiarity with GCP services (Cloud SQL, Pub/Sub, Cloud Storage)
- Experience with DBT, Docker, CI/CD pipelines
- Ingestion tooling experience (e.g., Fivetran)
- Knowledge of data governance or SOC 2 standards
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