Sr. Lead Data Engineer (Enterprise Platforms Technology)

About the role

The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels.

Responsibilities

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions using data movement tools and technologies
• Work, as a lead developer, with a team of developers with deep experience in data movement, distributed computing, and full stack systems
• Utilize programming languages like Python, SQL and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Snowflake, Databricks
• Optimize information system for end-user and downstream application consumers by using sound data design practices
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
• Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

Requirements

• Bachelor’s Degree
• At least 6 years of experience in application development (Internship experience does not apply)
• At least 2 years of experience in big data technologies
• At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Qualifications

• Master's Degree
• 9+ years of experience in application development including Python, SQL, Scala, or Java
• 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
• 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, or MySQL)
• 4+ year experience working on real-time data and streaming applications
• 4+ years of experience with NoSQL implementation (Mongo, Cassandra)
• 4+ years of data warehousing experience (Redshift or Snowflake)
• 4+ years of experience with UNIX/Linux including basic commands and shell scripting
• 4+ years of experience with data modeling and data warehousing
• 2+ years of experience with Agile engineering practices
• 1+ years of experience leveraging AI-assisted coding tools (Claude Code, Github Copilot) to accelerate the software delivery process