Data Engineer

Data Engineer

Location: Houston, TX \| Type: Full Time \| Setup: Hybrid \| Experience: 3 to 7\+ years

About the Role

We're hiring a Data Engineer to design, build, and optimize modern data platforms on the Microsoft stack, with Microsoft Fabric at the center. You'll deliver cloud-native solutions that power analytics, reporting, and decision-making across enterprise environments.

The team is part of a global consulting firm working with energy and financial services clients on large transformation programs. Data strategy and platform skills are a recurring need here, and if you've worked around ETRM or energy trading data, that's a real differentiator.

What You'll Do

• Design scalable data architectures on Microsoft Fabric: OneLake, Lakehouses, Warehouses, Pipelines, Spark, and Shortcuts
• Build and tune ingestion and transformation pipelines with Fabric Data Pipelines, Dataflows Gen2, PySpark, SQL, Azure Data Factory, and Azure Synapse
• Develop reusable frameworks for data quality, metadata-driven processing, schema management, and incremental ETL/ELT
• Partner with analytics and business teams on semantic models, reporting solutions, and Power BI integrations
• Support client engagements through workshops, roadmaps, effort estimation, and stakeholder communication

Qualifications

• 3 to 7\+ years of data engineering experience on Microsoft and Azure technologies
• Hands-on depth with Microsoft Fabric, including OneLake, Lakehouse, Warehouse, Data Pipelines, Spark Notebooks, and Power BI integration
• Advanced SQL, T-SQL, and PySpark/Python, plus modern modeling techniques (star schema, snowflake, data vault)
• Experience with CDC, SCD, incremental processing, partitioning, and performance optimization at scale
• Strong communication and stakeholder skills, ideally from consulting or client-facing work

Nice to Have

• Experience in or around ETRM and energy trading data environments
• Azure Event Hub, IoT Hub, Microsoft Purview, Azure Key Vault
• CI/CD and DevOps practices, including Git and deployment pipelines
• Streaming ingestion and real-time analytics architectures
• Supporting data science workloads and feature stores

Why Join Us

You'll build platforms that enterprise clients actually run their business on, with the autonomy to shape architecture decisions rather than inherit them. The work keeps coming, the stack stays modern, and the people around you know the domain.

To apply, click Apply on LinkedIn and visit

eliosai.com/browse-jobs/1f160650-6de4-6990-b682-73dc25853f26