Client: oil and gas company (upstream operator, Houston HQ) · Location: remote, LATAM, Houston business hours · Level: senior · Engagement: full-time contractorYou 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