Hybrid Data & Analytics Engineer — Insights & Data Pipelines

Baird; Milwaukee (WI); Hybrid; USD 95,000 - 135,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Baird is seeking a Data & Analytics Engineer to transform complex financial services data into actionable insights, blending hands-on engineering with collaboration across business teams. This role focuses on analytics engineering, data modeling, and modern cloud data platforms in a culture that values curiosity and continuous learning.

This is a collaborative, agile opportunity to shape how data is structured, transformed, and delivered to drive smarter decisions across the firm, with exposure

Qualifications

• 5–7 years of experience delivering data and analytics solutions in a collaborative environment.
• Experience in data engineering, analytics engineering, BI development, or related data-focused role.
• Strong SQL skills and familiarity with relational database concepts and best practices.
• Experience with data modeling, quality practices, and data governance concepts.

Responsibilities

• Design, build, and maintain data pipelines ingesting and transforming financial data.
• Apply 3NF and dimensional modeling to analytics-ready datasets.
• Perform data analysis and profiling to understand source data and support quality.
• Develop and validate source-to-target mappings and transformation logic.

Skills

SQL proficiency

Data modeling

Analytics thinking

Communication with stakeholders

Education

Bachelor's degree in CS / MIS / Business / Finance

Tools

SQL Server

Snowflake

Azure SQL Database

Azure Data Factory

dbt

Power BI

Job description

Baird is seeking a Data & Analytics Engineer to transform complex financial services data into actionable insights, blending hands-on engineering with collaboration across business teams. This role focuses on analytics engineering, data modeling, and modern cloud data platforms in a culture that values curiosity and continuous learning.

This is a collaborative, agile opportunity to shape how data is structured, transformed, and delivered to drive smarter decisions across the firm, with exposure