Data Engineer

Lead the data engineering efforts across projects, collaborating closely with analysts, data scientists, and software engineers. Hands-on experience with relational databases (PostgreSQL, MySQL, etc.) and data warehouses (Snowflake, BigQuery, Redshift).

Job Title: Data Engineer
Location: Austin, TX
Duration: 6 months


Salary Range: $50.00 - $52.00/Hour on W2 (Without Benefits).
Applicants must be willing to work on W2
 
Role Description

• 8+ years of professional experience in data engineering or backend data development roles.
• Expert-level proficiency in SQL, including performance tuning, window functions, CTEs, and analytical queries.
• Strong Python skills for scripting, data processing, and building ETL logic.
• Hands-on experience with relational databases (PostgreSQL, MySQL, etc.) and data warehouses (Snowflake, BigQuery, Redshift).
• Proven experience designing and maintaining large-scale data pipelines in production environments.
• Solid understanding of data modeling techniques (dimensional modeling, normalization/denormalization).
• Strong grasp of data quality, validation, and governance practices.
• Proficiency with version control systems (e.g., Git) and agile development workflows.
• Ability to troubleshoot complex data issues and provide scalable solutions.
• Design, build, and maintain robust and scalable ETL/ELT pipelines using SQL and Python.
• Architect and implement high-performance data models that support both real-time and batch processing.
• Optimize complex SQL queries for performance, scalability, and reliability across large datasets.
• Lead the data engineering efforts across projects, collaborating closely with analysts, data scientists, and software engineers.
• Own and improve data quality, validation, and governance processes.
• Monitor data pipelines and proactively address performance and reliability issues.
• Mentor and support junior data engineers through code reviews, design sessions, and technical leadership.
• Document data flows, definitions, models, and architecture for internal stakeholders and governance purposes.
• Participate in architectural decisions and contribute to long-term data platform strategy.

Experience Required

• 8–10 years of experience.
• 7+ years in Python.