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 #LI-TA4 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. Baird is an employee-owned, international financial services firm specializing in wealth management, capital markets, private equity and asset management. Our mission is straightforward. We strive “to provide the best financial advice and service to our clients and be the best place to work for all.” Our culture is like no other with extraordinary people who make Baird great for our clients and one another. Nationally recognized as a great place to work since 2004, we invite you to learn more about Baird, our culture and our people. Baird is committed to inclusion & diversity for our clients, our associates and the communities where we live and work. This commitment stems from our culture of integrity, genuine concern for others and respect for the individual. We view inclusion & diversity as an ongoing journey – one of shared responsibility, continuous improvement and a focus on progress. We invite you to join us as we work together to foster an environment where diversity unites rather than divides us.