DATA ENGINEER

Job Description Job Description Our client is looking for a Data Engineer to overhaul and expand the systems that power analytics and internal operations. This role centers on upgrading legacy workflows, strengthening reliability, and building scalable pipelines. Key Responsibilities Develop and maintain data ingestion pipelines feeding into BigQuery Replace outdated ETL/ELT processes with modern solutions Set up monitoring, alerting, and workflow visibility Contribute to orchestration design and implementation (Airflow, Dagster, Prefect) Support DBT development and CI/CD practices Tune BigQuery performance and manage access/security controls Maintain documentation, data flow diagrams, and catalogs Required Experience 3+ years in data engineering Strong SQL skills with BigQuery, Snowflake, or Redshift Hands-on work with orchestration tools 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 Tech Stack Snapshot BigQuery, DBT/DBT Cloud, Fivetran, Datastream, GCP (Pub/Sub, Cloud Storage, CloudSQL), Databricks, Omni, Amplitude, Hightouch, Datadog Compensation Starting around $130K OTE, adjusted for experience and location.

Location U.S. remote (limited state availability).