Data Engineer

Location:

Houston, TX | Type:
Permanent, full time |

Experience:

3 to 7+ years

You'll design and build modern data platforms across the Microsoft data ecosystem for our client. The work sits on high-impact transformation programs in financial services and energy, with a focus on scalable, cloud-native data solutions that support analytics, reporting, and data-driven decisions.

Design and implement scalable data architectures on Microsoft Fabric, including One Lake, Lake houses, Warehouses, Pipelines, Spark, and Shortcuts

Build and tune ingestion and transformation pipelines using Fabric Data Pipelines, Dataflows Gen2, PySpark, SQL, Azure Data Factory, and Azure Synapse

Create reusable frameworks for data quality, metadata-driven processing, schema management, and incremental ETL/ELT

Work with analytics and business teams to deliver semantic models, reporting solutions, and Power BI integrations that perform well

Support client engagements through workshops, roadmap development, effort estimation, and stakeholder communication

3 to 7+ years in data engineering with Microsoft and Azure technologies

Strong hands-on experience with Microsoft Fabric, including One Lake, Lakehouse, Warehouse, Data Pipelines, Spark Notebooks, and Power BI integration

Advanced SQL and T-SQL, solid PySpark/Python, and modern data modeling experience across star schema, snowflake, and data vault

Experience with CDC, SCD, incremental processing, partitioning strategies, and performance tuning in large-scale data environments

Strong communication skills and stakeholder management experience in a consulting or client-facing setting

Experience with Azure Event Hub, IoT Hub, Microsoft Purview, and Azure Key Vault

CI/CD and Dev Ops practices, including Git integration and deployment pipelines

Streaming ingestion and real-time analytics architectures

Supporting data science workloads and feature store implementations

Prior management consulting experience in financial services or energy