About the role
Analytics Engineer / Data Experience Engineer
Location: Chicago Downtown - Hybrid 3 days per week
Job Type: 6months contract
Rate: $68.00 - 73.00 per our on W2
- Requires a In Person Interview - Local Candidates ONLY
Candidates must be able to work on a W2 Basis without sponsorship
*****NO C2C Help in ANY form****
About the Role
We are seeking an Analytics Engineer / Data Experience Engineer to build intuitive, reliable ways for business users to consume and interact with data. You will own semantic models and user-facing analytical experiences—from Databricks Genie spaces and natural-language query patterns to custom dashboards and notebooks.
Key Responsibilities
- Semantic & Metrics Modeling: Design and maintain governed semantic models, business definitions, and analytical datasets.
- Data Experience Configuration: Build user interfaces using Databricks Genie , dashboards, and fit-for-purpose notebooks.
- End-to-End Engineering: Handle backend query logic/pipelines as well as frontend configuration to translate business questions into accurate calculations.
- Usability & Optimization: Partner with Data Engineers to fix performance or quality issues, validating data accuracy, explainability, and user adoption.
Qualifications
- 8+ years of engineering experience (Analytics Engineering, Data Engineering, or BI).
- Advanced SQL and dimensional/semantic modeling expertise.
- Hands-on experience with Databricks and natural-language analytics tools (e.g., Databricks Genie).
- Proven ability to build backend transformations and configure frontend user experiences.
- Working knowledge of data quality, access controls, performance tuning, and Git workflows.
#TECH
#Hybrid
#Chicago
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