Senior Analytics Engineer

Gulf Coast Automation Group•Chicago, IL

21h•Hybrid

About The Position

TalentFish is hiring a Senior Analytics Engineer for a direct-hire role based in downtown Chicago with a hybrid schedule of three days per week. This senior individual-contributor position will help scale a modern Snowflake and dbt data platform, replace legacy reporting tools, and build trusted data products for planning, finance, pricing, and operations. The role includes informal technical mentorship but no direct people-management responsibility. The engineer will own data assets from requirements through ongoing support, partnering with business stakeholders to turn ambiguous questions into reliable models and visualizations. Compensation is $135,000–$160,000 per year, plus bonus and benefits, depending on experience and qualifications. Applicants must be authorized to work in the U.S. without current or future visa sponsorship. Offers are contingent on a background check.

Requirements

Five or more years of analytics engineering or data engineering experience, including at least three years of hands-on production experience with dbt.
Advanced SQL skills, including complex modeling, query optimization, and judgment about warehouse cost and performance tradeoffs.
Hands-on Python experience for data validation, automated testing, workflow automation, and improving shared engineering code.
Production experience with a cloud data warehouse, specifically Snowflake.
Strong stakeholder communication and informal mentoring skills.
Authorization to work in the U.S. without current or future visa sponsorship.

Nice To Haves

Manufacturing, supply chain, or consumer products experience.

Responsibilities

Build, extend, and troubleshoot dbt models and Snowflake data marts supporting planning, finance, pricing, and operations.
Develop Python-based validation, automated tests, quality checks, and lightweight workflow automation.
Contribute to code reviews and engineering standards.
Investigate data-quality and reconciliation issues across CRM, ERP, master data, and downstream models.
Document systems that were previously under-documented.
Develop and maintain notebooks, applications, dashboards, and writeback tools.
Help replace legacy reporting with modern cloud-native solutions.
Work directly with business stakeholders to translate ambiguous questions into reliable models and visualizations.
Mentor peers and coordinate priorities with technical leadership.
Own data assets from requirements through ongoing support.