The posting
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



