<p><b>Data Engineer</b></p><p>Onsite | Austin, TX | Contract</p><p><br></p><ul><li>Design, build, and maintain scalable data pipelines and ETL/ELT processes</li><li>Develop and manage data architectures such as data warehouses, data lakes, and lakehouses</li><li>Ingest and integrate data from multiple sources (databases, APIs, streaming platforms)</li><li>Ensure data quality, integrity, and reliability across systems</li><li>Optimize data processing, storage, and query performance</li><li>Collaborate with data analysts, data scientists, and business teams to support analytics and reporting needs</li><li>Implement automation for data workflows, monitoring, and error handling</li><li>Troubleshoot and resolve data pipeline issues and performance bottlenecks</li><li>Support batch and real‑time data processing frameworks</li><li>Document data models, pipelines, and data engineering processes</li></ul>

<ul><li>3+ years of experience in data engineering, data integration, or a related role</li><li>Strong proficiency in SQL and experience working with large, complex datasets</li><li>Experience building and maintaining ETL/ELT data pipelines</li><li>Proficiency in at least one programming language (Python, Java, Scala, or similar)</li><li>Hands‑on experience with data warehouses and data platforms (Snowflake, Redshift, BigQuery, Databricks, etc.)</li><li>Experience working in cloud environments (AWS, Azure, or GCP)</li><li>Familiarity with data modeling, schema design, and performance optimization</li><li>Experience integrating data from APIs, databases, and streaming sources</li><li>Strong problem‑solving and troubleshooting skills related to data pipelines and performance</li><li>Ability to collaborate with data analysts, data scientists, and business stakeholders</li></ul>

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