> Markdown version of [/jobs/ext/4656515-data-platform-engineer-contract-role](https://www.wearedevelopers.com/jobs/ext/4656515-data-platform-engineer-contract-role). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Platform Engineer- Contract Role

- **Company:** Sterling Construction
- **Location:** The Woodlands, TX, United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Artificial Intelligence, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Cursor, Python (Programming Language), Operational Databases, SQL Databases, Cloud Platform System, Data Ingestion, System Availability, Claude Code, Snowflake, Microsoft Fabric, Data Lakes, Pyspark, Integration Frameworks, Restful APIs, Azure Synapse Analytics, Data Pipelines, Databricks
- **Published:** November 10, 2026
- **Apply:** https://www.disabledperson.com/jobs/76429849-data-platform-engineer-contract-role

## About the Role

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.

## Description

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.