Analytics Engineer

The Planet Group; Chicago (IL); Hybrid; USD 94,000 - 101,000; Part time

Job summary

The Planet Group is seeking an Analytics Engineer / Data Experience Engineer in Chicago with hybrid work arrangement. You will design semantic models, own user-facing analytics, and build dashboards and notebooks using Databricks Genie to empower business users.

You will collaborate on end-to-end data pipelines, ensure data quality, and optimize performance while enabling intuitive data access for decision-makers during a 6-month contract.

Qualifications

• 8+ years of engineering experience in Analytics Engineering, Data Engineering, or BI.
• Strong SQL and dimensional/semantic modeling expertise.
• Hands-on experience with Databricks Genie and natural-language analytics tools.

Responsibilities

• Semantic & metrics modeling: design and maintain governed semantic models and datasets.
• Data experience configuration: build UIs using Databricks Genie, dashboards, and notebooks.
• End-to-end engineering: handle backend query logic and frontend configuration to translate business questions into calculations.
• Usability & optimization: collaborate with data engineers to fix performance/quality issues and validate data accuracy.

Skills

Advanced SQL

Semantic modeling

Dimensional modeling

Data experience design

Data quality

Tools

Databricks Genie

Databricks

Git workflows

Job description

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.