Motion Recruitment
Principal Data Engineers/Architects - Energy, Oil & Gas, or Trading Domains
Motion Recruitment, Houston, Texas, United States, 77246
Principal Data Engineers/Architects – Energy, Oil & Gas, or Trading Domains
Hello
We are looking for Principal Data Engineers/Architects who have led Azure + Databricks solutions enabling global data modernization, real-time analytics, and AI readiness with deep domain alignment within Energy, Oil & Gas, or Trading environments.
Location: Houston, TX (Hybrid)
Duration: 12+ Months Contract (with potential extensions)
Pay Rate: $70/hr on W2
If interested, please email your resume to grace.johnson@motionrecruitment.com
Please Note: Client is not open to C2C, H1B, TN Visa, 1099, F1 – CPT at this time.
Key Responsibilities
Architect and deliver scalable, cloud-based data platforms and pipelines supporting analytics, AI/ML, and reporting workloads.
Design and implement end-to-end ELT frameworks using Databricks Delta Live Tables (DLT), Azure Data Factory, and Synapse.
Translate complex business and operational requirements into production-grade data solutions.
Lead data modeling, ingestion, and transformation efforts, ensuring high data quality, performance, and reliability.
Drive best practices in DevOps, CI/CD automation, testing, and documentation using GitHub Actions, Azure DevOps, and PyTest.
Mentor engineers, set technical standards, and ensure alignment across global data modernization initiatives.
Collaborate across business units to unify operational, trading, and production data into a consistent global reporting layer.
Domain Alignment (Required)
Production & Operations Data: Wells, drilling, exploration, pipeline performance.
Trading & Commodities Data: Pricing, risk, P&L, and market position analytics.
Refinery, Logistics, & Distribution: Throughput optimization, supply chain visibility, or product movement tracking.
Required Skills & Experience
10+ years overall experience in data engineering.
3+ years in a lead or architect capacity (solution ownership, mentoring, and best-practice leadership).
6+ years in cloud data engineering (Azure, AWS, or SAP) in enterprise environments.
Deep expertise in Databricks, Azure Data Factory, Synapse, and ELT development.
Strong proficiency in Python for data pipelines, automation, and testing.
Proven experience with CI/CD tools such as GitHub Actions, Azure DevOps, and SonarQube.
Familiarity with Databricks Delta Live Tables (DLT) for pipeline automation and data quality enforcement.
Experience with enterprise data governance, lineage, auditability, and security.
#J-18808-Ljbffr
We are looking for Principal Data Engineers/Architects who have led Azure + Databricks solutions enabling global data modernization, real-time analytics, and AI readiness with deep domain alignment within Energy, Oil & Gas, or Trading environments.
Location: Houston, TX (Hybrid)
Duration: 12+ Months Contract (with potential extensions)
Pay Rate: $70/hr on W2
If interested, please email your resume to grace.johnson@motionrecruitment.com
Please Note: Client is not open to C2C, H1B, TN Visa, 1099, F1 – CPT at this time.
Key Responsibilities
Architect and deliver scalable, cloud-based data platforms and pipelines supporting analytics, AI/ML, and reporting workloads.
Design and implement end-to-end ELT frameworks using Databricks Delta Live Tables (DLT), Azure Data Factory, and Synapse.
Translate complex business and operational requirements into production-grade data solutions.
Lead data modeling, ingestion, and transformation efforts, ensuring high data quality, performance, and reliability.
Drive best practices in DevOps, CI/CD automation, testing, and documentation using GitHub Actions, Azure DevOps, and PyTest.
Mentor engineers, set technical standards, and ensure alignment across global data modernization initiatives.
Collaborate across business units to unify operational, trading, and production data into a consistent global reporting layer.
Domain Alignment (Required)
Production & Operations Data: Wells, drilling, exploration, pipeline performance.
Trading & Commodities Data: Pricing, risk, P&L, and market position analytics.
Refinery, Logistics, & Distribution: Throughput optimization, supply chain visibility, or product movement tracking.
Required Skills & Experience
10+ years overall experience in data engineering.
3+ years in a lead or architect capacity (solution ownership, mentoring, and best-practice leadership).
6+ years in cloud data engineering (Azure, AWS, or SAP) in enterprise environments.
Deep expertise in Databricks, Azure Data Factory, Synapse, and ELT development.
Strong proficiency in Python for data pipelines, automation, and testing.
Proven experience with CI/CD tools such as GitHub Actions, Azure DevOps, and SonarQube.
Familiarity with Databricks Delta Live Tables (DLT) for pipeline automation and data quality enforcement.
Experience with enterprise data governance, lineage, auditability, and security.
#J-18808-Ljbffr