Data Engineer

Data Engineer

Onsite | Austin, TX | Contract

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

Qualifications:

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

Compensation

About Us

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