Principal Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Principal Data Engineer with 7+ years of experience in Energy, Oil and Gas, or Trading and Supply. Contract duration is 3+ months at $68/hr in Houston, TX, requiring expertise in Azure, AWS, SAP, and ELT development.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
544
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πŸ—“οΈ - Date discovered
September 18, 2025
πŸ•’ - Project duration
3 to 6 months
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
W2 Contractor
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Houston, TX
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🧠 - Skills detailed
#Documentation #Databricks #Pytest #Data Engineering #AI (Artificial Intelligence) #Data Modeling #Azure DevOps #Scala #GitHub #Data Integration #DevOps #Scrum #SAP #AWS (Amazon Web Services) #ADF (Azure Data Factory) #Redshift #SQL (Structured Query Language) #Python #Azure #SonarQube #ML (Machine Learning) #Synapse #Cloud #Azure Data Factory #Airflow
Role description
Hello Looking for a Principal Data Engineer from Energy, Oil and Gas, or Trading and Supply Products domain for a Hybrid role in Houston, TX 77079 Pay Rate: $68/hr on W2 Contract Duration: 3+Months with possibility of longer-term extensions 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 & OPT at this time. Role Summary: Support the Products Data Exchange (PDE) initiative to enable global reporting, AI/ML capabilities, and real-time analytics. Responsible for designing, implementing, and scaling cloud-based data solutions, with deep expertise in Azure, AWS, and SAP environments. Key Responsibilities: Architect and deliver scalable data platforms and pipelines Translate business needs into production-ready data solutions Lead ELT development, data modeling, and ingestion Drive stakeholder engagement and provide technical mentorship Ensure best practices in DevOps, change management, and documentation Mandatory Skills: MUST HAVE: 7+ years of experience Azure, AWS, SAP (expert level) ELT development, data modeling, data integration (expert level) Databricks, Azure Data Factory, Synapse, SQL DB, Redshift, Glue, Stream Analytics, Airflow, Kinesis GitHub, GitHub Actions, Azure DevOps, SonarQube, PyTest Python (strong development background) Experience working in a centralized cloud repository. Experience in global intra-day reporting and analytics. Preferred Skills: Experience leading scrum teams or managing small technical teams Exposure to planning tools (e.g., BPC) or documentation tools (e.g., MKDocs) Familiarity with scientific computing, seismic, or subsurface data