This Chicago-based financial services company has continued to grow in the past year and is adding a Data Engineer to its team. They are building a product that utilizes ML to help make better financial decisions. They need a Data Engineer to work on the backend API and Data Pipelines feeding the Data lake. The ideal candidate will have 5 years of Python development experience and have built custom ETL pipelines in Python. Additional experience with Spark, PySpark, Kafka, or Apache Beam would make for an ideal fit. This is a hybrid role, so this person needs to be in the Chicago metro area.

Requirements:

• 5 years of Data Engineering with strong Python Coding Experience
• Experience working in a cloud and microservices environment with GCP, AWS or Azure
• Experience with ETL tools such as Apache Beam, Kafka, or Spark
• Experience working with ML engineers and moving models into production
• Strong SQL Skills and ideally PostgreSQL experience
• Bachelor's Degree in Computer Science, Computer Engineering, Mathematics or other engineering degrees.

Nice to Have:

• Experience building APIs and working with Flask, Django, or FastAPI
• Specific experience with GCP, BigQuery, and Elastic Search
• Kafka and Spark would be a strong preference
• BigQuery Experience

This role is not able to hire C2C or sponsor at this time.