Data Integration Developer

Baird•Milwaukee, WI

7d•Hybrid

About The Position

Are you energized by transforming complex business data into reliable, scalable solutions that power critical decisions? Do you enjoy designing and building robust data integration pipelines while collaborating closely with both technical and business partners? Are you looking to grow your expertise in modern data integration, data architecture, and evolving data platforms within a highly collaborative environment? As Baird continues to invest in data as a strategic asset, we are expanding our IT Data Integration team and seeking a Data Integration Developer to help build and support high-quality data solutions across the firm. In this role, you will play an important part in developing and delivering data integration processes that enable business intelligence, analytics, and operational reporting. This opportunity is ideal for a motivated data professional who thrives in an agile environment, enjoys solving complex data challenges, and takes pride in delivering solutions that drive measurable business impact. You’ll work cross-functionally with business analysts, BI teams, and technical partners to translate data needs into scalable solutions, while continuously building your technical and business knowledge. 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.

Requirements

3–5 years of experience in data integration, data engineering, or business intelligence within a complex environment
Strong experience with data integration concepts such as ETL/ELT, data warehousing, and event-based processing
Hands-on experience with data integration tools such as SSIS or similar platforms
Experience working with databases such as SQL Server and strong proficiency in SQL/T-SQL
Experience in data analysis, data mapping, data profiling, and data quality practices
Understanding of relational (3NF) and dimensional data modeling concepts
Experience building and loading structured data sets aligned to business requirements
Familiarity with processing and integrating various data formats including flat files, CSV, JSON, XML, APIs, and message queues
Exposure to BI tools such as Power BI, Alteryx, SSRS, or SSAS
Working knowledge of APIs and/or programming languages such as C# is a plus
Strong communication skills with the ability to collaborate effectively across technical and business teams
Analytical mindset with a willingness to dive into data to troubleshoot and resolve issues
Creative problem-solving skills with a focus on automation and process improvement
Self-motivated and adaptable, with the ability to manage priorities in an agile environment
Experience working in a regulated or data-sensitive environment is preferred
Bachelor’s degree in Computer Science, MIS, Business Administration, Finance, or equivalent experience

Responsibilities

Build and support data integration solutions using a variety of tools, technologies, and frameworks
Design and contribute to data architecture specifications for data integration and data storage solutions
Perform data analysis, mapping, and transformation to support accurate and efficient data movement
Develop, test, and maintain ETL/ELT processes that ensure data integrity and reliability
Provide full lifecycle support of data integration solutions from implementation through ongoing optimization
Create and execute test plans to validate solution functionality, data accuracy, and performance
Identify data quality issues and proactively manage risk by raising awareness and driving resolution
Prepare and maintain technical documentation to support transparency, scalability, and long-term support
Partner with business units to define data and information requirements and translate them into scalable solutions
Work closely with business analysts and BI teams to align technical solutions with business goals
Perform data discovery and analysis to clarify requirements and improve solution design
Collaborate with team members to translate functional requirements into technical specifications
Proactively identify risks, dependencies, and delivery challenges and communicate with stakeholders
Support business users by understanding how data is accessed and used, and help improve overall data usability
Contribute to solutions that enable the business to leverage data and BI capabilities for competitive advantage
Stay current with emerging technologies, tools, and best practices in data integration and engineering
Seek out opportunities to enhance skills through training, industry engagement, and hands-on experience
Contribute to a culture of continuous improvement, automation, and knowledge sharing within the team
Identify opportunities to streamline processes, reduce manual effort, and improve data delivery efficiency