About the Role:

Are you energized by transforming complex financial services data into meaningful insights that influence real business decisions? Do you enjoy blending hands-on technical work with close collaboration across business teams? Are you looking for an opportunity to expand your expertise in analytics engineering, data modeling, and modern cloud data platforms in an environment that values curiosity and continuous learning?

As Baird continues to invest in data as a strategic asset, we are adding a Data & Analytics Engineer to our growing IT Data Team. In this role, you’ll play a meaningful part in shaping how financial services data is structured, transformed, and delivered to drive smarter decision-making across the firm. You’ll contribute to building scalable, high-quality data solutions while partnering closely with stakeholders to turn evolving business needs into actionable insights.

This is an excellent opportunity for a data professional who thrives in a collaborative, agile environment and enjoys solving complex problems while delivering incremental value. You’ll gain exposure to modern data tools and practices, work alongside experienced engineers and architects, and continuously grow your technical and business acumen.

This position is hybrid, offering a combination of 2 day/week remote work and 3 days/week in our collaborative downtown Milwaukee workspace. At Baird, you’ll find a supportive culture centered on teamwork, continuous learning, and making a meaningful impact through data.

The Impact You'll Make:

Data Engineering & Data Management:

Contribute to the design, build, and maintenance of data pipelines that ingest and transform financial services data
Apply data modeling skills (3NF and dimensional) to support analytics-ready datasets
Perform data analysis and profiling to understand source data and support quality outcomes
Develop and validate source-to-target mappings and transformation logic
Implement and test end-to-end data solutions under the guidance of senior engineers
Follow established practices to ensure sensitive data is protected and handled appropriately

Analytics Enablement & Delivery:

Support data discovery efforts and help prototype datasets that bring together multiple data sources
Leverage existing tools to enable reporting and visualization for financial services users
Document datasets and transformations to support usability and adoption
Deliver work incrementally while balancing changing priorities

Collaboration, Learning & Growth:

Collaborate with delivery team members, architects, and business partners
Communicate clearly about progress, risks, and dependencies
Learn and apply Baird data standards, tools, and best practices
Seek feedback and coaching from senior Data & Analytics Engineers
Continuously build skills through training, documentation, and hands-on experience

What You'll Bring to Baird:

5–7 years of experience delivering data and analytics solutions in a collaborative environment
Experience in data engineering, analytics engineering, business intelligence development, or a related data-focused role
Strong SQL skills and familiarity with relational database concepts and best practices
Experience performing data analysis, profiling, validation, and troubleshooting to support reliable data solutions
Ability to partner effectively with business stakeholders to understand requirements and support analytics needs
Strong problem-solving skills, intellectual curiosity, and a desire to continuously grow technical expertise
Experience with databases and platforms such as SQL Server, Snowflake, Azure SQL Database, and Azure Data Lake
Experience with data integration tools such as SSIS, dbt, Azure Data Factory, or similar technologies
Experience writing queries and developing solutions using SQL, T-SQL, Azure Data Studio, or similar tools
Familiarity with BI and analytics tools such as Power BI, Alteryx, or comparable platforms
Working knowledge of data modeling and governance concepts, including 3NF, dimensional modeling, data mapping, data profiling, and data quality practices
Experience working with common data formats such as CSV, JSON, XML, and Parquet
Experience working in a regulated or data-sensitive environment is preferred
Bachelor’s degree in Computer Science, MIS, Business Administration, Finance, or equivalent experience

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Baird is committed to diversity and provides employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, pregnancy, citizenship, national origin, age, disability, military service, veteran status, sexual orientation, gender identity or expression, genetic information, or any other status protected by law.

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