Fluid’s Client is seeking a Data Engineer to build and modernize the pipelines, orchestration, and warehouse infrastructure powering company-wide analytics and operations. This role focuses on reliability, scalability, and replacing legacy systems.
Responsibilities
- Build and maintain data extraction pipelines into BigQuery
- Modernize legacy extraction and transformation processes
- Implement monitoring, alerting, and workflow visibility
- Help design and implement orchestration (Airflow, Dagster, Prefect)
- Support DBT models and CI/CD workflows
- Maintain and optimize BigQuery warehouse performance
- Manage BigQuery security, access, and SOC 2 controls
- Document data flows and maintain catalogs
Required Qualifications
- 3+ years of data engineering experience
- Strong SQL and experience with BigQuery, Snowflake, or Redshift
- Experience with orchestration tools (Airflow/Dagster/Prefect)
- Experience with GCP (Cloud SQL, Pub/Sub, Cloud Storage)
- Experience with DBT, Docker, CI/CD
- Experience with Fivetran or similar ingestion tools
- Background in data governance or SOC 2
Tech Environment
BigQuery, DBT, DBT Cloud, Fivetran, Datastream, GCP (Pub/Sub, Cloud Storage, CloudSQL), Databricks, Omni, Amplitude, Hightouch, Datadog
Compensation
Starting at $130,000 OTE, with adjustments based on experience and location.
Location
US Remote. (Some states are not eligible.)
Compensation:
$130,000 per year