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Master Data Jobs in Kansas (NOW HIRING)

Industry experience in banking or healthcare * Advanced degree (Master's preferred but not required) What will you be doing in this role? * Support the identification of sensitive data at rest, in ...

Data Engineer II-IT

Wichita, KS · On-site

$102K - $123K/yr

Data Engineers design, build, and maintain robust data systems and pipelines that enable high ... Master's degree preferred in Information Systems, Engineering, or related technical field ...

Data Engineer II

Leawood, KS · Hybrid

$111K - $133K/yr

What You Bring BA/BS/Master's degree in Computer Science, Information Systems, Data Science, or related field. 2 - 4 years of experience in data architecture, data engineering, or related roles ...

Data Engineer II-IT

Wichita, KS · On-site

$102K - $123K/yr

Data Engineers design, build, and maintain robust data systems and pipelines that enable high ... Master's degree preferred in Information Systems, Engineering, or related technical field ...

Data Engineer II

Leawood, KS · On-site

$111K - $133K/yr

BA/BS/Master's degree in Computer Science, Information Systems, Data Science, or related field. * 2 - 4 years of experience in data architecture, data engineering, or related roles delivering ...

Data Engineer II-IT

Wichita, KS · On-site

$102K - $123K/yr

Data Engineers design, build, and maintain robust data systems and pipelines that enable high ... Master's degree preferred in Information Systems, Engineering, or related technical field ...

Data Engineer II

Leawood, KS · Hybrid

$111K - $133K/yr

What You Bring BA/BS/Master's degree in Computer Science, Information Systems, Data Science, or related field. 2 - 4 years of experience in data architecture, data engineering, or related roles ...

Data Engineer III

Leawood, KS · On-site

$111K - $133K/yr

BA/BS/Master's degree in Computer Science, Information Systems, Data Science, or related field. * 5-8 years of experience in data engineering, data architecture, or related roles delivering scalable ...

Data Engineer III

Leawood, KS · On-site

$111K - $133K/yr

BA/BS/Master's degree in Computer Science, Information Systems, Data Science, or related field. 5-8 years of experience in data engineering, data architecture, or related roles delivering scalable ...

Data Engineer III

Leawood, KS · On-site

$111K - $133K/yr

BA/BS/Master's degree in Computer Science, Information Systems, Data Science, or related field. 5-8 years of experience in data engineering, data architecture, or related roles delivering scalable ...

Data Engineer II-IT

Wichita, KS · On-site

$102K - $123K/yr

Data Engineers design, build, and maintain robust data systems and pipelines that enable high ... Master's degree preferred in Information Systems, Engineering, or related technical field ...

Sr. Data Analyst

Overland Park, KS · On-site

$85K - $107K/yr

As a CBRE Data Sr. Analyst, you will perform a variety of analyses to ensure that recommendations ... Master's degree preferred Understanding of existing procedures and standards to solve complex ...

Showing results 41-60

Master Data information

See Kansas salary details

$17

$39

$68

How much do master data jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for master data in Kansas is $39.55, according to ZipRecruiter salary data. Most workers in this role earn between $27.21 and $49.33 per hour, depending on experience, location, and employer.

What is a master data professional?

Master Data professionals are specialists who manage, maintain, and ensure the accuracy of an organization's core data assets, such as customer, product, supplier, and employee information. They play a vital role in establishing data standards, improving data quality, and supporting business processes by keeping key data consistent and reliable across systems. Their work helps organizations make better decisions, comply with regulations, and operate efficiently.

What are some common challenges faced by professionals in master data roles, and how can they be effectively managed?

One common challenge in Master Data roles is ensuring data consistency and accuracy across multiple systems and departments. Data discrepancies can arise due to varying data entry standards or system integrations, making it essential to implement robust data governance processes. Collaboration with IT, business analysts, and end users is often required to establish clear data ownership, standardization practices, and validation routines. Regular audits and continuous communication across teams help maintain high data quality and prevent errors from propagating throughout the organization.

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

To thrive as a Master Data Specialist, you need strong analytical skills, attention to detail, and a background in data management or information systems, often supported by a relevant degree. Familiarity with ERP systems like SAP or Oracle, data governance frameworks, and certifications such as CDMP are typically valued. Excellent communication, problem-solving, and organizational skills help you collaborate effectively and resolve data issues. These skills ensure accurate, consistent, and reliable data, which is critical for organizational decision-making and operational efficiency.

What is the difference between Master Data vs Data Analyst?

AspectMaster DataData Analyst
Required CredentialsBachelor's degree in Business, IT, or related fields; certifications like CDMP are commonBachelor's degree in Statistics, Mathematics, or related fields; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentData management teams, IT departments, enterprise systemsBusiness units, analytics teams, reporting environments
Employer & Industry UsageUsed across industries for maintaining consistent core dataUsed across industries for insights, reporting, and decision-making

Master Data professionals focus on maintaining and managing the core data that supports business operations, ensuring data accuracy and consistency. Data Analysts interpret and analyze data to generate insights and support decision-making. While both roles work with data, Master Data roles are more data governance-oriented, whereas Data Analysts focus on data analysis and reporting.

Is master data a good career?

Master Data roles involve managing and maintaining core business information such as customer, product, and supplier data. These positions require attention to detail, data management skills, and familiarity with tools like ERP systems, making them stable and in-demand within data management and enterprise operations. Career growth can lead to roles in data governance, analytics, or data management leadership.

What are the most commonly searched types of Master Data jobs in Kansas?

The most popular types of Master Data jobs in Kansas are:

What are popular job titles related to Master Data jobs in Kansas?

For Master Data jobs in Kansas, the most frequently searched job titles are:

Infographic showing various Master Data job openings in Kansas as of August 2026, with employment types broken down into 44% Full Time, and 56% Contract. Highlights an 46% In-person, and 54% Hybrid job distribution, with an average salary of $82,270 per year, or $39.6 per hour.

Full-time

Re-posted 10 days ago


CommunityAmerica Credit Union rating

8.5

Company rating: 8.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
CommunityAmerica Credit Union is seeking a hands-on, technically strong Manager of Data Platforms to lead the foundation that powers their data and analytics capabilities. This role involves managing a small team responsible for the Data and BI Platforms, ensuring reliable operations of the SQL Server environment, and driving the establishment of a new cloud data platform on Databricks and Azure.
Responsibilities:
• Lead and develop a small team responsible for the Data and BI Platforms; foster a culture of technical excellence, accountability, and continuous learning.
• Own day-to-day operations of the SQL Server data warehouse, ETL/ELT pipelines, and outbound data feeds to member credit unions; ensure reliability, accuracy, and timely delivery.
• Own and mature the BI platform end-to-end, including Power BI environment administration, semantic model and dataset standards, workspace and capacity governance, report performance, and operational/paginated reporting. Expand its footprint and self-service adoption across TruHome business areas.
• Help shape and execute on the data and analytics strategy for TruHome, including the design and stand-up of a new cloud data platform on Databricks and Azure.
• Drive maturity of the enterprise data warehouse by improving data integration, modeling, quality, and documentation, so it can serve as a trusted source for outbound feeds, reporting, and future analytical use cases.
• Embrace and apply AI capabilities, including AI-assisted development, natural-language analytics (e.g., Databricks Genie), and AI features within the BI platform, to accelerate team productivity and improve data accessibility for business users.
• Manage the intake, prioritization, and delivery of platform work using Agile/Scrum practices.
• Serve as a trusted partner to TruHome business leaders and credit union clients. Translate business needs into platform capabilities, communicate progress and tradeoffs clearly, and build credibility through reliable delivery.
• Support onboarding of new credit union clients by leading the build-out of outbound data pipelines required to integrate with their core and other downstream systems.
• Support data governance, security, privacy, and regulatory compliance requirements relevant to mortgage servicing and credit union data, partnering with risk, compliance, and information security teams.
• Manage select vendor relationships and assist with budget planning for tools, licenses, and contractors across the data and BI platforms.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related quantitative or technical field required; Master’s degree preferred.
• 8 to 12 years of progressive experience in data engineering, business intelligence, analytics, or data/BI platform roles, with meaningful exposure across both data platform and BI platform domains.
• 3 to 5 years of experience leading or managing small technical teams, including hiring, performance management, and team development.
• Demonstrated experience building out or standing up cloud data platforms, ideally on Azure with Databricks. Equivalent experience on other major cloud data platforms (e.g., Snowflake, AWS, GCP) will be considered if paired with strong Spark fundamentals.
• Strong hands-on skills with SQL Server, including SSIS for ETL development and maintenance, stored procedure development, query optimization, and performance tuning.
• Strong hands-on skills with the modern data stack: Python, PySpark, Spark SQL, and cloud data platform services (Databricks, Azure Data Lake Storage, Azure Data Factory or equivalent orchestration).
• Solid data modeling skills across multiple paradigms (3rd Normal Form / ODS, dimensional/Kimball-style, and modern lakehouse / medallion patterns), with judgment on when each is appropriate.
• Good working knowledge of the Power BI platform, including semantic/tabular model design, DAX, workspace and capacity management, dataset governance, and report performance tuning. Able to set technical direction and standards for the BI platform.
• Familiarity with DevOps / DataOps practices including Git-based source control, CI/CD pipelines (Azure DevOps or GitHub Actions), code review, and environment management.
• Awareness of data governance, security, and privacy practices relevant to regulated financial services environments.
• Excellent written and verbal communication skills, with the ability to translate between technical and business audiences and to communicate confidently with senior leaders and external clients.
• Effective people leader and strong stakeholder manager. Able to coach a small technical team, set expectations, push back constructively, and build long-term trust.
• Pragmatic and outcome-oriented; able to balance maintaining a running business with iteratively introducing modern platforms and practices, and to manage competing priorities across operational support, project delivery, and platform modernization.
Preferred:
• Exposure to maturing a BI platform (establishing standards, scaling adoption, improving semantic models and report quality, and enabling self-service) is preferred.
• Experience in mortgage origination, mortgage servicing, banking, lending, or other financial services data environments highly preferred. Candidates without direct domain experience must clearly demonstrate a track record of quickly learning new business domains.
• Experience working in Agile/Scrum environments and managing team delivery through structured backlogs and sprints.
• Curiosity about and practical experience applying AI tools in data engineering and BI workflows (e.g., GitHub Copilot, Databricks Assistant/Genie, Power BI Copilot); willingness to experiment, evaluate, and bring forward what works.
Company:
CommunityAmerica Credit Union provides financial services and products like mobile banking, insurance and loans to individuals & businesses. Founded in 1940, the company is headquartered in Lenexa, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

What CommunityAmerica Credit Union employees say

Hours and flexibility

Workplace

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