Lead Data Engineer (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)

About the role

The role is focused on leading data engineering efforts within the Bank Tech division, utilizing advanced technologies like Python, AWS, SQL, and GenAI to drive innovation and efficiency.

Responsibilities

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
• Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
• Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
• 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 4 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
• 1+ years of experience leveraging AI-assisted coding tools (Claude Code, GitHub Copilot) to accelerate the software delivery
• 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
• 4+ years of experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
• 4+ years of 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 for data warehousing
• 2+ years of experience with Agile engineering practices

Skills

• Programming Languages: Java, Scala, Python
• Data Technologies: Big Data, Cloud Computing, Distributed Systems, NoSQL Databases, Data Warehousing
• Tech Trends: AI, Machine Learning, Emerging Technologies
• Agile Practices: Scrum, Kanban

Benefits

Comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being.

Pay

Salary range for this role is $197,300 - $225,100 for Lead Data Engineer in McLean, VA. Actual salary will vary based on location and performance.

Schedule

Full-time position.