Job Details

Job Role: Data Engineer
Location: Phoenix, AZ (Onsite)
Type: Long Term Contract

Experience: 8+ Years
Skills: Pyspark, Spark, Big Data / Data Warehousing, Python, Hive, CI/CD, GitHub, Tableau, SQL

About the Role
We are seeking a highly skilled Data Engineer with strong expertise in PySpark, Python, and Hive, along with experience in Tableau integration development. The ideal candidate will have hands-on experience in accessing and working with Cornerstone tables and be able to quickly learn our existing data systems and reporting processes.
This role requires a solid development background with CI/CD pipelines, version control using GitHub, and a commitment to Engineering Excellence.

Key Responsibilities

• Design, develop, and maintain data pipelines using PySpark and Hive.
• Access, query, and manage data from Cornerstone tables for reporting and analytics purposes.
• Develop and enhance Tableau dashboards and integrate them with backend data sources.
• Collaborate with stakeholders to understand reporting requirements and translate them into technical solutions.
• Implement CI/CD pipelines to automate deployment processes.
• Maintain code repositories in GitHub following best practices in code quality and version control.
• Ensure adherence to Engineering Excellence standards, including code reviews, documentation, and testing.
• Troubleshoot and optimize data workflows for performance and scalability.
• Adapt quickly to existing systems, tools, and reporting processes.

• Strong experience in PySpark and Python development.
• Proficiency in Hive and SQL-based data querying.
• Experience with Cornerstone tables and large-scale data environments.
• Proven skills in Tableau dashboard development and backend integration.
• Familiarity with CI/CD tools and practices.
• Proficiency in GitHub for version control.
• Ability to learn new systems and processes quickly.
• Strong problem-solving, communication, and collaboration skills.