Data Engineer – Oil & Gas✦ anywhere

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

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Ingest time-series data from SCADA and historians (OSIsoft PI, OPC UA) alongside ERP and production accounting sources

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Build batch and streaming pipelines on Databricks or Snowflake with Spark, Kafka and Airflow

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Model data in a medallion architecture for production, drilling and maintenance analytics

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Enforce data quality, lineage and access controls

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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

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Strong SQL and Python, plus Spark in production

- Experience on Azure or AWS data stacks

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Orchestration with Airflow or similar, and dbt for transformations

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Experience with high-volume time-series or IoT data

- Advanced English

Nice to have

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Oil and gas domain knowledge (WITSML, PPDM, OSDU)

- PI System integration experience

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Spanish or Portuguese for work with LATAM operations

Originally posted on Himalayas