Senior Data Engineer (Python, Spark, AWS)

Seeking a Senior Data Engineer skilled in Python, Spark, and AWS to develop scalable data solutions and depersonalization pipelines.

Collaborate with agile teams to design, develop, test, and support full-stack data engineering solutions.

Utilize programming languages like Python, Java, Scala, and cloud data warehousing tools such as Redshift and Snowflake.

Work with machine learning, distributed microservices, and real-time streaming applications.

Mentor team members, stay current with technology trends, and participate in internal and external tech communities.

Basic qualifications include a bachelor’s degree, 3+ years of application development, and 1+ year in big data tech. Preferred skills include 5+ years of experience, cloud familiarity, and expertise with NoSQL, data warehousing, and UNIX/Linux.

This role offers competitive salaries, performance incentives, and comprehensive benefits, with location-specific pay ranges.