DATA ENGINEER

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scalable pipelines.Key ResponsibilitiesDevelop and maintain data ingestion pipelines feeding into BigQueryReplace outdated ETL/ELT processes with modern solutionsSet up monitoring, alerting, and workflow visibilityContribute to orchestration design and implementation (Airflow, Dagster, Prefect)Support DBT development and CI/CD practicesTune BigQuery performance and manage access/security controlsMaintain documentation, data flow diagrams, and catalogsRequired Experience3+ years in data engineeringStrong SQL skills with BigQuery, Snowflake, or RedshiftHands-on work with orchestration toolsFamiliarity with GCP services (Cloud SQL, Pub/Sub, Cloud Storage)Experience with DBT, Docker, CI/CD pipelinesIngestion tooling experience (e.g., Fivetran)Knowledge of data governance or SOC 2 standardsTech Stack SnapshotBigQuery, DBT/DBT Cloud, Fivetran, Datastream, GCP (Pub/Sub, Cloud Storage, CloudSQL), Databricks, Omni, Amplitude, Hightouch, DatadogCompensationStarting around $130K OTE, adjusted for experience and location.LocationU.S. remote (limited state availability).