Data Engineer

Elios, Inc.; Houston (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

Elios, Inc. is seeking a Data Engineer in Houston, TX. The role involves designing scalable data architectures and utilizing Microsoft technologies to support analytics and reporting.

Ideal candidates should have 3 to 7+ years of experience in data engineering with hands-on knowledge of Microsoft Fabric, SQL, and PySpark. The position offers opportunities to work on high-impact transformation programs in financial services and energy.

Qualifications

• 3 to 7+ years of data engineering experience with Microsoft and Azure technologies.
• Strong hands-on experience with Microsoft Fabric and data integration tools.
• Excellent knowledge of SQL, PySpark, and modern data modeling techniques.

Responsibilities

• Design and implement scalable data architectures using Microsoft Fabric.
• Build and tune ingestion and transformation pipelines.
• Support client engagements through workshops and roadmap development.

Skills

Microsoft Fabric

Power BI

SQL

PySpark

Data modeling

Stakeholder management

Tools

Azure Data Factory

Azure Synapse

Job description

Job Description

Location: Houston, TX | Type: Permanent, full time | Experience: 3 to 7+ years

About the Role

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.

What You'll Do

Design and implement scalable data architectures on Microsoft Fabric, including OneLake, Lakehouses, 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

What We're Looking For

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

Strong hands-on experience with Microsoft Fabric, including OneLake, 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

Bonus Points For

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

CI/CD and DevOps 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