Data Platform Engineer Contract

Sterling Infrastructure, Inc.

Build the Technology Behind the Infrastructure

At Sterling Infrastructure, we're building more than infrastructure. We're investing in technology and data solutions that help drive smarter business decisions across our organization.

We're seeking an experienced Data Platform Engineer for a contract opportunity at our office in The Woodlands, TX. You'll help design, build, and improve our Microsoft Fabric data platform, creating scalable solutions that support data integration, automation, and reporting across the business.

Why Sterling Infrastructure?

Sterling Infrastructure is a growing organization where technology plays an important role in supporting our operations and future growth. This contract opportunity offers the chance to work on meaningful projects, collaborate with experienced professionals, and help shape the future of our data platform.

If you enjoy solving technical challenges and developing solutions that make a real impact, we'd love to hear from you!

What You'll Do

1. Design and enhance scalable, metadata-driven data frameworks.
2. Develop and maintain data pipelines integrating APIs, SQL databases, and other data sources.
3. Build reusable solutions for data ingestion, transformation, and automation.
4. Improve data quality, monitoring, error handling, and platform reliability.
5. Develop and maintain Python, PySpark, and SQL-based solutions.
6. Collaborate with technical teams to improve platform performance and support business needs.

What We're Looking For

1. 5+ years of data engineering experience building and supporting cloud-based data platforms.
2. Hands-on experience with at least one of the following: Microsoft Fabric, Databricks, Snowflake, Synapse, or a similar cloud data platform.
3. Experience with AI Code first development using Claude Code, Codex, Cursor, or a similar platform.
4. Strong proficiency in Python, PySpark, SQL, and Delta Lake.
5. Experience developing REST API integrations and automated data pipelines.
6. Knowledge of metadata-driven frameworks, data modeling, and ETL/ELT processes.
7. Experience testing, troubleshooting, and optimizing production data pipelines.

We are an equal opportunity employer: We do not discriminate based on race, color, national origin, religion, creed, sex, sexual orientation, gender identity, disability, age, genetic information, marital status, military status, membership or activity in a local human rights commission, or status with regard to public assistance, or any other characteristic protected by applicable law.

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