Analytics 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.

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