Data Engineer – Oil & Gas

Client: oil and gas company (upstream operator, Houston HQ) · Location: remote, LATAM, Houston business hours · Level: senior · Engagement: full-time contractor You will build the pipelines that move well, production and sensor data from the field into a cloud lakehouse used by engineers and analysts. What you will do - Ingest time-series data from SCADA and historians (OSIsoft PI, OPC UA) alongside ERP and production accounting sources - Build batch and streaming pipelines on Databricks or Snowflake with Spark, Kafka and Airflow - Model data in a medallion architecture for production, drilling and maintenance analytics - Enforce data quality, lineage and access controls - Work with reservoir and production engineers to turn their questions into datasets - Optimize pipeline cost and performance What you bring - 5+ years in data engineering - Strong SQL and Python, plus Spark in production - Experience on Azure or AWS data stacks - Orchestration with Airflow or similar, and dbt for transformations - Experience with high-volume time-series or IoT data - Advanced English Nice to have - Oil and gas domain knowledge (WITSML, PPDM, OSDU) - PI System integration experience - Spanish or Portuguese for work with LATAM operations Originally posted on Himalayas