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Data Integration Manager Jobs (NOW HIRING)

Do you enjoy designing and building robust data integration pipelines while collaborating closely ... Identify data quality issues and proactively manage risk by raising awareness and driving ...

You will define and manage external data contracts, maintain partner-specific file and API ... Own technical integrations with TPAs, provider networks, and other external healthcare partners.

SOSi is seeking a Data Integration Specialist to support mission requirements for a structured ... Manage schema alignment, metadata tagging, and data governance to ensure data quality and ...

SOSi is seeking a Data Integration Specialist to support mission requirements for a structured ... Manage schema alignment, metadata tagging, and data governance to ensure data quality and ...

Job Title Data Integration Specialist Location Doral, FL 33122 US (Primary) Category Intelligence ... Shall manage schema alignment, metadata tagging, and data governance to ensure data quality and ...

Data Integration Developer Must Have Technical/Functional Skills: * Design and Development of data ... dependencies management. * Hands-on experience with good knowledge of the best practices for ...

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Data Integration Manager information

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$10

$51

$84

How much do data integration manager jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for data integration manager in the United States is $51.68, according to ZipRecruiter salary data. Most workers in this role earn between $43.51 and $58.17 per hour, depending on experience, location, and employer.

What is a data integration manager?

A data integration manager oversees the process of combining data from different sources into a unified system, ensuring data quality and consistency. They often work with tools like ETL (Extract, Transform, Load) processes and require skills in data management, database systems, and project coordination to facilitate seamless data flow across organizations.

What is the difference between Data Integration Manager vs Data Analyst?

AspectData Integration ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications in data management or integration toolsBachelor's degree in Statistics, Mathematics, or related field; certifications in data analysis or visualization tools
Work EnvironmentCollaborates with IT teams, data engineers, and business units to oversee data integration processesWorks with business stakeholders to analyze data, generate reports, and support decision-making
Employer & Industry UsageCommon in tech, finance, healthcare, and large enterprises managing complex data systemsWidely used across industries for data-driven roles focusing on insights and reporting

While both roles involve working with data, the Data Integration Manager focuses on overseeing the integration and management of data systems, ensuring data flows correctly across platforms. In contrast, the Data Analyst primarily interprets data to generate insights and support business decisions. Both roles require strong technical skills, but their core responsibilities and focus areas differ significantly.

What are some common challenges a data integration manager faces when coordinating cross-departmental projects?

Data Integration Managers often encounter challenges such as aligning different departments' data standards, managing conflicting priorities, and ensuring data security across systems. Effective communication and strong project management skills are essential for navigating these complexities. Building collaborative relationships and setting clear expectations early in the project can help streamline data flows and minimize bottlenecks.

What are the key skills and qualifications needed to thrive as a data integration manager, and why are they important?

To thrive as a Data Integration Manager, you need expertise in data management, ETL processes, and a strong understanding of database systems, often supported by a degree in computer science or a related field. Familiarity with integration tools like Informatica, Talend, or Microsoft SSIS, as well as experience with cloud platforms and relevant certifications, is typically required. Strong leadership, problem-solving skills, and effective communication help manage cross-functional teams and stakeholder expectations. These skills ensure seamless data flow, system reliability, and successful project delivery in complex data environments.
More about Data Integration Manager jobs
What cities are hiring for Data Integration Manager jobs? Cities with the most Data Integration Manager job openings:
What are the most commonly searched types of Data Integration jobs? The most popular types of Data Integration jobs are:
What states have the most Data Integration Manager jobs? States with the most job openings for Data Integration Manager jobs include:
Infographic showing various Data Integration Manager job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $107,501 per year, or $51.7 per hour.

Data Integration Developer

Robert W Baird & Co

Milwaukee, WI โ€ข Hybrid

Full-time

Posted 29 days ago


Job description

About the Role:
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.


The Impact You'll Make:
Development & Data Integration Delivery:

  • 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

Collaboration & Business Partnership:

  • 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

Learning & Continuous Improvement:

  • 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

What You'll Bring to Baird:

  • 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 with databases and platforms such as SQL Server, Snowflake, Azure SQL Database, and Azure Data Lake and strong proficiency in SQL/T-SQL
  • Experience with data integration tools such as SSIS, Fivetran, dbt, Azure Data Factory, or similar technologies
  • 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

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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.