Competitive compensation: USD 209,000 - 238,500 per year
Location and schedule: on site in Chicago, IL
Leadership role: guide a team of developers with deep expertise in machine learning, distributed microservices, and full stack systems
Growth and mentorship: opportunities to mentor engineers and share knowledge across internal and external technology communities
Collaborative environment: work across Agile teams and cross functional partners to design, build, test, and support cloud based data solutions
Meaningful impact: deliver cloud based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

Collaborate across Agile teams to design, develop, test, implement, and support technical solutions using full‑stack tools and technologies
Lead a development team with deep experience in machine learning, distributed microservices, and full‑stack systems
Apply programming languages such as Java, Scala, and Python, and work with Open Source RDBMS and NoSQL databases plus cloud warehousing services like Redshift and Snowflake
Share a passion for staying current with tech trends, experimenting with new technologies, engaging with internal and external technology communities, and mentoring peers
Partner with digital product managers to deliver robust cloud based solutions that create strong user experiences and empower millions of Americans financially
Perform unit tests and conduct code reviews to ensure well designed, cleanly coded, and high performance software

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

Senior Lead Data Engineer

Job Description