Senior Analytics Engineer

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

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 a Senior 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.

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.

What You'll Do. (Skills Used in this Position)

• 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!