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