Senior PySpark Data Engineer

Build digital intelligence products at Sensor Tower using PySpark, data modeling, and data analysis within a global engineering team.

As a Senior Data Engineer, you will own the data product lifecycle from business understanding through delivery. You will develop data programs, solve processing challenges, and align technical solutions with business needs. The work includes collaboration with product managers, data scientists, and cross-functional teams.

Key Responsibilities:

• Own data products from analysis through deployment and delivery
• Develop high-quality data programs using PySpark
• Coordinate teams around evolving business requirements
• Conduct code reviews, software design, and pair programming
• Evaluate technologies across the Data ecosystem

Requirements:

• Five or more years in data modeling and analysis
• Two or more years with core data technologies
• Experience with Spark, Python, HDFS, Databricks, and AWS
• Solid grasp of modern software development lifecycle
• Major in Math or Computer Science

Apply senior data engineering expertise across PySpark, data products, and analysis at Sensor Tower’s global digital intelligence company.