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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