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