Data and AI Engineer

UTurn Data Solutions is a technology services firm helping businesses achieve digital transformation through the use of cloud technologies. Recognized by Crain’s as one of Chicago’s fastest growing companies in 2024 (#9) and 2023 (#11), we are market leaders in leveraging the power of AWS to accelerate innovation, increase operational efficiency and help our clients future proof their businesses.

As one of the top AWS partners in the Midwest we specialize in AWS Migration, designing and implementing cloud native architectures, building analytics platforms and enabling automation through Dev Ops. An Advanced Tier AWS Consulting Partner and AWS Well Architected Partner, UTurn is headquartered in Chicago with offices in the River North neighborhood.

We are looking for sharp, disciplined, and self-motivated individuals who have a passion for solving real-world data-centric challenges for our customers.

• Collaborate with architects, customers, and senior engineers to implement data pipelines, platforms, lakes, warehouses, and architectures
• Deliver enterprise-level ML and GenAI solutions via IaC and CI/CD
• Continuous learning: staying up to date on AWS (including certifying) as well as awareness of GenAI developments
• Cross-team collaboration with cloud engineers and other data & AI engineers
• Build and maintain generic, repeatable data products for use in future consulting engagements

• Bachelor’s Degree strongly preferred
• Certifications related to cloud hyperscalers or data provider strongly preferred (or attained in first 90 days)

Required

• 3+ years in one of the domains (data engineering or AI/ML)
• At least one year experience of experience in the other domain
• Experiencing writing SQL (any dialect), familiar with stored procedures, CTEs, etc.
• Regularly using at least 1 cloud platform: AWS, Azure, GCP, etc
• Understanding of data modeling and governance concepts

Nice to Have

• Programmatic use of knowledge bases or RAG for GenAI
• ETL tooling:
  Airflow, DBT, Glue, Fivetran, ....
• Familiarity with ML concepts (random forests, neural nets, etc.) and common frameworks:
  Scikit-learn, Tensor Flow, PyTorch, ....
• Programmatic use of agents via Strands, Lanchain, or similar
• ML Ops: data / model training pipelines, parameter tuning, and tuning for inference
• Familiar with big data and data lake concepts and at least one big data platform / tool
• Data streaming:
  Spark, Kafka, Kinesis, ...
• IaC:
  Terraform, Open Tofu, Cloud Formation, ...
• Data warehouses:
  Redshift, Snowflake, Big Query, ....
• No
  
  SQL databases and concepts:
  Dynamo
  
  DB, Cassandra, Redis, ...

Great benefits and perks including flexible hours, excellent medical, Dental/Vision, LTD/STD/AD&D/Life coverage, 401k, on-going training, River North location or home office, transit reimbursement, on-going technical training, and doughnuts, lots of doughnuts!