Senior Analytics Engineer

Senior Analytics Engineer
Job Title:Senior Analytics Engineer
Primary Location: Chicago – Downtown – hybrid 3 days a week
Position Type:Direct Hire
Overview
TalentFish is casting a line for aSenior Analytics Engineer. This is a direct hire role hybrid in Chicago - downtown. This is a tremendous opportunity This senior individual contributor 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 while providing informal technical mentorship without direct people-management responsibility. This
What You Bring to the Role. (Ideal Experience)

• 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 sound 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, Snowflake, and the ability to own data assets from requirements through ongoing support.
• Strong stakeholder communication and informal mentoring skills; manufacturing, supply chain, or consumer products experience is a plus.

• 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 while contributing to code reviews and engineering standards.
• Investigate data-quality and reconciliation issues across CRM, ERP, master data, and downstream models, documenting previously under-documented systems.
• Develop and maintain notebooks, applications, dashboards, and writeback tools, and help replace legacy reporting with modern cloud-native solutions.
• Work directly with business stakeholders to translate ambiguous questions into reliable models and visualizations while mentoring peers and coordinating priorities with technical leadership.

Compensation Information
The expected compensation for this position is $135,000.00 - $160,000.00 year plus bonus and benefits depending on experience and qualifications. TalentFish is committed to pay transparency and equal opportunity. The compensation range provided will comply with applicable state and federal regulations. This role requires authorization to work in the U.S. without current or future visa sponsorship.
All offers are contingent upon the completion of a background check, which may include but is not limited to reference checks, education verification, employment verification, drug testing, criminal records checks, and any required certifications or compliance requirements based on the end client's background check policies and applicable laws.
TalentFish is an employee-owned company pioneering a new realm in talent acquisition. We are redefining IT staffing by evolving AI, video screening, and our unique platform. TalentFish focuses on providing the best employee, consultant, and client experience possible.
At TalentFish we are an Equal Opportunity Employer; we embrace and encourage diversity!