Senior Data Engineer
kaavMalvern (PA)
About the role
Sr. Data Engineering The Sr. Data Engineering will manage the data pipeline development from data ingestion to transformation, implementing the Architect's data models and ensuring high-quality data flow through the bronze, silver, and gold layers. This role involves leading a team of Data Engineers and Analysts, optimizing ETL processes, and supporting the data structure required for robust analytics. Lead the development of data pipelines using AWS Glue and PySpark, transforming data from raw to analytics-ready stages. Collaborate with the Data Architect to implement data models and ensure data integrity. Oversee the work of Data Engineers, providing technical guidance and ensuring adherence to best practices. Monitor and optimize data processing workflows, ensuring efficient resource usage. Bachelor's degree in Computer Science, Engineering, or related field. 7+ years of experience in data engineering, with a focus on AWS Glue and PySpark. Strong skills in SQL and data pipeline development. Experience leading data engineering teams and optimizing ETL workflows.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.