Data Engineer – Oil & Gas
Posted 9 days ago
Who can apply
Open worldwide
Salary
Not disclosed
Level
Senior
Contract
Timezone
See description
About the role
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
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About ITMates
Listing details & historyShowHide
- Employer posted
- 16 Oct 2026
- Last confirmed open
- Not yet confirmed
- Source
- Job board
- Degree
- Not mentioned
- Visa
- Not stated
- Timezone
- 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
- Languages
- Not stated
- Location evidence
- “Remote — Worldwide”
Details are read from the listing text. They are not a guarantee of work authorization; confirm with the employer.
History
- 16 Oct · Added to Remotavia
