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Data Integration Manager Jobs in Missouri (NOW HIRING)

Stellar IT Group

Master Data Manager

Saint Louis, MO · On-site

Master Data Manager Work Mode: Hybrid 2 days remote, 3 days on site Location: St. Louis, MO 63110 ... Expertise in ERP systems and data integration techniques. * Proficiency in data analysis tools and ...

Pwc

Data Engineer - Manager

Saint Louis, MO · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... You will be responsible for developing and implementing data pipelines, data integration, and data ...

Pwc

Data Engineer - Manager

Kansas City, MO · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... You will be responsible for developing and implementing data pipelines, data integration, and data ...

Walmart

(USA) Principal, Data Analyst

Cassville, MO · On-site

$90K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate cross-functionally to drive data integration, management, and advanced analytics projects. What you'll bring: * Extensive experience in data analysis, data visualization, and exploratory ...

Walmart

(USA) Principal, Data Analyst

Anderson, MO · On-site

$90K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate cross-functionally to drive data integration, management, and advanced analytics projects. What you'll bring: * Extensive experience in data analysis, data visualization, and exploratory ...

Walmart

(USA) Principal, Data Analyst

Noel, MO · On-site

$90K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate cross-functionally to drive data integration, management, and advanced analytics projects. What you'll bring: * Extensive experience in data analysis, data visualization, and exploratory ...

Arka Infotech Inc

Big Data Analytics Developer

Saint Louis, MO · On-site

$51.50 - $66.75/hr

Big Data / Analytics Developer 12 Months+ St. Louis, Missouri 08-03-2015 Senior Big Data Analytics ... integration with both streaming and batch sources, efficient distributed processing, and managing ...

Commerce Bank

Enterprise Data Architect

Saint Louis, MO · On-site +1

$105K - $123K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data management, data modeling, data warehousing and emerging data integration technologies. Work Schedule * Monday - Friday 8:00 AM - 5:00 PM Essential Functions * Partner with business and ...

Commerce Bancshares

Enterprise Data Architect

Saint Louis, MO · On-site

$105K - $123K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data management, data modeling, data warehousing and emerging data integration technologies. Work Schedule * Monday - Friday 8:00 AM - 5:00 PM Essential Functions * Partner with business and ...

Keeley Construction

Snowflake Data Architect

Saint Louis, MO · Hybrid

$62 - $79.75/hr

Design scalable logical and physical data models for Project Management, HR, Finance, Accounting ... Lead the development of scalable data ingestion frameworks integrating enterprise applications such ...

Atria Group LLC

Big Data Analytics Developer

Saint Louis, MO · On-site

$51.50 - $66.75/hr

... integration, supply-chain management, e-commerce solutions, and B2B public exchanges and B2B ... Senior Big Data Analytics Developer w/proven experience leading the design and build of 'Big Data ...

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All JobsData Integration JobsData Integration Manager JobsData Integration Manager Jobs in Missouri

Data Integration Manager information

See Missouri salary details

$9

$48

$78

How much do data integration manager jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for data integration manager in Missouri is $48.48, according to ZipRecruiter salary data. Most workers in this role earn between $40.82 and $54.57 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.

What are popular job titles related to Data Integration Manager jobs in Missouri?

For Data Integration Manager jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Data Integration Manager jobs in Missouri look for?

The top searched job categories for Data Integration Manager jobs in Missouri are:

Data Integration Manager jobs near you
Infographic showing various Data Integration Manager job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 10% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $100,836 per year, or $48.5 per hour.

Data Analyst Engineer

The Timberline Group

Saint Louis, MO • On-site, Remote

Full-time

Re-posted 5 days ago

Job description

The position of Sr. Business Intelligence Data Analyst/Engineer- must possess a solid knowledge of the principles and practices of enterprise data warehouse development, data modeling and testing and story-telling through data analytics.
Job Duties and Responsibilities:
  • Serve as an internal data consultant, participating in data integration discussions.
  • Participates in the design, development, validation and testing of new or revised reports. Works with user to verify results and content, develops error or exception reports when applicable and receives user sign off on completed work.
  • Analyze and evaluate highly complex business and market data; interpret data for the purpose of determining organizational/program performance, trends and/or probability.
  • Design and apply forecasting and predictive modeling techniques to enhance strategic thinking and business planning.
  • Efficiently and effectively operate across multiple projects simultaneously and assume responsibility for the appropriate data/information architecture, design and quality.
  • Meet with key stakeholders to present and review data output to improve operational performance, support decisions, and enhance planning efforts.
  • Mentor and train on the appropriate usage of data marts, enterprise data warehouse and other data sources used in reporting and analytics, including reporting and visual use cases.
  • Uses and promotes established Software Development Life Cycle (SDLC) standards, QA and change control procedures.
  • As a member of the Data Warehouse Team, you will be involved in all aspects of:
    • Designing, implementing, maintaining, and supporting end-to-end ETL solutions, as well as data warehouse and cubes.
    • Developing, refining and maintaining the security, quality and integrity of data in ETL solutions and the data warehouse at large.
    • Establishing, implementing and upholding data integration standards and methodologies.
    • Creating and executing test plans for ETL and data integration solutions
    • Monitoring ETL jobs to verify execution, maintain performance and resolve data integration issues as they arise.
    • Implementing, maintaining and supporting the data quality, data catalog and master data management initiatives of data marts and the enterprise data warehouse system.
    • Working with Database and System Administrators to establish and enforce best practices for availability, performance, and data security.
    • Proactively designing support activities around data integration; such as on-going data validation and performance tuning.
    • Participating in code and design review to ensure alignment to standards and best practices.
    • Reviewing existing data structures and recommend optimizations and redesigns, as warranted.
  • Serves as a technology advocate throughout the IT organization to help promote the effective use of the data/information architecture to meet business needs and to build sustained competitive advantage for the enterprise.

Knowledge, Skills and Abilities:
  • Proficient use of Microsoft Data Analytics tools (SSIS, SSAS, SSRS, Power BI) as well as Microsoft Office tools.
  • Deep knowledge and practical use of Microsoft Querying Languages, including TSQL, MDX, DAX.
  • Proven ability to design, develop, test and deploy efficient and effective tabular and multidimensional cubes, along with necessary ETL code and processes to support them.
  • Possess in-depth knowledge with one or more BI visualization tools including but not limited to: SSRS, Power BI, Qlik Sense, QlikView, Tableau, SAS Business Intelligence, SAP BusinessObjects BI, MicroStrategy, IBM Cognos Analytics, Sisense, ThoughtSpot, or Google Analytics.
  • Demonstrated experience planning, designing, developing and delivering end-to-end BI/Data Analytics solutions (i.e. - data warehouses, data/ information delivery)
  • Requires proven analytical skills with ability to organize, maintain, process and analyze vast amounts of information and complex issues and communicate findings in a clear, concise manner including verbally, graphically and in writing to a variety of audiences.
  • Ability to utilize critical thinking and project management skills to manage work efforts through to successful completion.
  • Independent problem-solving skills and data analysis techniques required.
  • Requires demonstrated ability to organize and execute work independently and effectively within frequent deadlines.
  • Excellent written, verbal communication and presentation skills are required.
  • Ability to establish and build relationships with all members of the business community are required.
  • Requires ability to maintain effective interpersonal skills with internal and external staff and audiences.
  • In-depth knowledge of relational databases, cubes, data consumption, and advanced data analysis.
  • Ability to lead data exploration with key stakeholders to draw conclusions and make data driven business decisions.

Minimum Requirements
  • Bachelor's Degree in Computer Science, Information Systems, or other related field, or 7+ years equivalent work experience required.
  • Minimum of 7 years' experience designing, developing and tuning complex, large (TB) database management systems in support of operational reporting, decision support, complex data analysis and system integration.
  • Minimum of 7 years' experience working with and tuning Microsoft SQL Server or other similar relational database management systems.
  • Minimum of 7 years' experience in data modeling, database design (multi-dimensional and data warehouse), data integration and ETL.
Preferences
  • High degree of self-motivation, drive and determination, along with high aptitude.
  • Master's Degree is preferred.
  • Supply chain industry experience preferred.
  • Knowledge of and experience with cloud data solution offerings (Azure Data Lake, Data Factory, Data Management Gateway, Azure Storage Options, DocumentDB, Data Lake Analytics, Stream Analytics, EventHub, Azure SQL, etc.)
  • Experience with big data tools: Hadoop, MapReduce, HBase, oozie, Flume and Pig.
  • Experience and knowledge of cost-optimized cloud deployments spanning compute, network and storage.
  • Experience of message queuing, stream processing and highly scalable big data stores.
  • Experience with NoSQL databases, such Cassandra, MongoDB, CosmosDB.
  • Experience working with DevOps tools: ADO, Git, Jenkins, Dockers, etc.
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience in creating advanced statistics such as: regression, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis and modeling.
  • Experience/ keen interest in exploring latest technologies and programming languages.
  • Have strong interest in future path of to design, develop and support Machine Learning technologies, algorithms and models in support of business initiatives including:
    • Determine the appropriate algorithms to solve a given problem through testing, analysis, and validation with the business.
    • Data exploration and visualization to understand and define features for a given data set.
    • Data model training and tuning to reduce errors and increase reliability and accuracy.
    • Participate in innovation forums to identify new ways to leverage data to solve business issues.

The Timberline Group
Phone: 636-209-5537
PO Box 385, Lebanon, MO 65536
www.timberlinegrp.com
resumes@timberlinegrp.com
"Delivering quality solutions through quality people"

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