Senior Analytics Engineer - Hybrid Chicago | Snowflake/dbt

Gulf Coast Automation Group; Chicago (IL); Hybrid; USD 135,000 - 160,000; Full time

Job summary

TalentFish in Chicago is seeking a Senior Analytics Engineer to scale a Snowflake/dbt data platform and replace legacy reporting tools. You will build trusted data products for planning, finance, pricing, and operations, while providing informal mentorship in a hybrid, downtown Chicago setting.

The role demands 5+ years in analytics/data engineering with strong SQL and Python skills, ownership of data assets, and collaboration with stakeholders to deliver reliable models and dashboards.

Qualifications

• 5+ years analytics or data engineering experience, including at least 3 years with dbt.
• Advanced SQL skills with complex modeling and performance tradeoffs.
• Python experience for data validation, testing, and workflow automation.
• Experience with Snowflake as production data warehouse.

Responsibilities

• Build, extend, and troubleshoot dbt models and Snowflake data marts supporting planning, finance, pricing, and operations.
• Develop Python-based validation and lightweight workflow automation while contributing to standards and code reviews.
• Investigate data-quality and reconciliation issues across CRM, ERP, master data, and downstream models.
• Develop notebooks, applications, dashboards, and writeback tools, replacing legacy reporting with cloud-native solutions.
• Collaborate with stakeholders to translate questions into reliable models and visualizations while mentoring peers.

Skills

Analytics engineering

Data engineering

SQL

Python

Stakeholder communication

Cost optimization

Tools

Snowflake

dbt

Job description

TalentFish in Chicago is seeking a Senior Analytics Engineer to scale a Snowflake/dbt data platform and replace legacy reporting tools. You will build trusted data products for planning, finance, pricing, and operations, while providing informal mentorship in a hybrid, downtown Chicago setting.

The role demands 5+ years in analytics/data engineering with strong SQL and Python skills, ownership of data assets, and collaboration with stakeholders to deliver reliable models and dashboards.