Senior Lead Data Engineer

Join Information Technology Senior Management Forum as a Senior Lead Data Engineer, guiding data engineering initiatives, architecting cloud-based data platforms, and mentoring a team of engineers. This role emphasizes collaboration across Agile teams and cross-functional partners to solve complex business problems with scalable data solutions.

Location

Chicago, IL (onsite)

Salary

USD 209,000 - 238,500 per yearly

Responsibilities

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions across full-stack development tools and technologies
• Lead a team of developers with deep experience in machine learning, distributed microservices, and full-stack systems
• Use programming languages such as Java, Scala, and Python, along with Open Source RDBMS and NoSQL databases and cloud-based data warehousing services like Redshift and Snowflake
• Share a passion for staying current with tech trends, experimenting with new technologies, participating in internal and external technology communities, and mentoring other engineers
• Collaborate with digital product managers to deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
• Perform unit tests and conduct code reviews to ensure solutions are rigorously designed, well-coded, and optimized for performance

Requirements

• Bachelor’s Degree
• Minimum 1 year of overall experience
• 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 of experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Technologies

• Java
• Scala
• Python
• Open Source RDBMS
• NoSQL databases
• Redshift
• Snowflake
• AWS
• Microsoft Azure
• Google Cloud
• MapReduce
• Hadoop
• Hive
• EMR
• Kafka
• Spark
• Gurobi
• MySQL
• Mongo
• Cassandra
• UNIX/Linux
• shell scripting
• interactive AI tooling

Type

Full-time