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• Replace outdated ETL/ELT processes with modern solutions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).