Data Engineer – Oil & Gas

Userc Dehradun; Houston (TX); Hybrid; USD 120,000 - 180,000; Full time

Job summary

oil and gas company (Houston HQ) is looking for a senior data engineer contractor to design and maintain data pipelines that move well, production and sensor data into a cloud lakehouse. You will collaborate with engineers and analysts to enable data-driven decisions.

Responsibilities include ingesting data from SCADA/PI/OPC UA, building batch and streaming pipelines, and enforcing data quality, lineage, and access controls. Strong English and cloud experience are required.

Qualifications

• 5+ years in data engineering
• Solid SQL and Python
• Spark in production
• Experience on Azure or AWS data stacks
• Orchestration with Airflow, dbt for transformations
• Experience with high-volume time-series or IoT data
• Advanced English

Responsibilities

• Ingest time-series data from SCADA and historians 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

Skills

SQL

Python

Spark

Airflow

dbt

Kafka

Databricks

Tools

Databricks

Snowflake

Azure

AWS

OSisoft PI

OPC UA

Kafka

Airflow

Job description

Location Worldwide

Job type Contractor

Posted 16 Oct 2026 (18 hours ago)

Region Remote

Category Data Science

Source Himalayas

Work mode Remote

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)

Spanish or Portuguese for work with LATAM operations