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Remote Master Data Management Jobs in Missouri (NOW HIRING)

Analytics Engineer I

Kansas City, MO · On-site +1

$111K - $134K/yr

Kansas City, MO (4 days in-office, 1 day remote) Experience Level: Mid-level (2-4 years) Department ... Design, build, and manage data models and ELT/ETL pipelines to transform raw data into structured ...

Analytics Engineer I

Kansas City, MO · On-site +1

$111K - $134K/yr

Kansas City, MO (4 days in-office, 1 day remote) Experience Level: Mid-level (2-4 years) Department ... Design, build, and manage data models and ELT/ETL pipelines to transform raw data into structured ...

$88K - $106K/yr

This position is listed on behalf of a partner company, who manages all applications and next steps ... Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related ...

$18.25 - $24.75/hr

The position combines payroll expertise, technical configuration, data management, customer ... fully remote working environment. * Flexible paid time off and flexible working hours. * An ...

BCBA - Remote

MO · Remote

$70K - $86K/yr

... make data-driven decisions to modify treatment plans as needed - Collaborate with caregivers ... good standing - Master's degree in Applied Behavior Analysis, Psychology, or related field ...

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments ... Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and ...

Showing results 41-60

Remote Master Data Management information

What is a remote master data management professional?

A Remote Master Data Management (MDM) professional is responsible for overseeing and maintaining an organization's critical data assets from a remote location. They ensure the accuracy, consistency, and security of master data—such as customer, product, and supplier information—across different systems and departments. By implementing data governance policies and collaborating with various teams, they help organizations make better business decisions and comply with data regulations. Remote MDM professionals use specialized tools and processes to manage data integrity while working outside of a traditional office environment.

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

To thrive as a Remote Master Data Management professional, you need expertise in data governance, data quality, and master data modeling, often supported by a degree in information systems or a related field. Familiarity with MDM platforms like Informatica, SAP MDG, or Oracle, as well as knowledge of data integration tools and data security standards, is typically required. Strong analytical thinking, communication skills, and attention to detail are essential soft skills for collaborating across departments and ensuring data consistency. These competencies are crucial for maintaining accurate, reliable data assets that drive business decisions and operational efficiency.

What are some common challenges faced by remote master data management professionals, and how can they be addressed?

Remote Master Data Management (MDM) professionals often encounter challenges such as ensuring data consistency across multiple systems, coordinating with geographically dispersed teams, and maintaining data security. Effective communication and collaboration tools are essential for aligning with stakeholders and IT teams. Establishing clear data governance policies and regular virtual meetings can help address inconsistencies and streamline workflows. Additionally, using secure remote access solutions and adhering to best practices in data privacy ensures data integrity and compliance.

What is the difference between Remote Master Data Management vs Remote Data Analyst?

AspectRemote Master Data ManagementRemote Data Analyst
CredentialsTypically requires data management certifications, SQL, and database knowledgeRequires data analysis, Excel, SQL, and visualization skills
Work EnvironmentFocuses on data governance, quality, and integration within organizationsAnalyzes data to generate insights, reports, and support decision-making
Industry UsageCommon in IT, finance, healthcare, and large enterprisesWidely used across marketing, finance, healthcare, and consulting

Remote Master Data Management professionals focus on maintaining accurate, consistent, and reliable data across systems, while Remote Data Analysts interpret data to inform business decisions. Both roles require strong technical skills but serve different functions within organizations.

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

The most popular types of Master Data Management jobs in Missouri are:

What are popular job titles related to Remote Master Data Management jobs in Missouri?

For Remote Master Data Management jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Remote Master Data Management jobs in Missouri look for?

The top searched job categories for Remote Master Data Management jobs in Missouri are:

What cities in Missouri are hiring for Remote Master Data Management jobs?

Cities in Missouri with the most Remote Master Data Management job openings:

Data Architect

Saint Louis, MO • On-site, Remote

Federal Reserve Bank of Richmond
Commercial Banking • 1 - 5K employees

$62 - $79.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago


Key responsibilities

  • Lead the design and modernization of the data architecture supporting economic data platforms.

  • Design scalable storage architectures, develop metadata schemas, and implement data processing frameworks.

  • Partner with the Application Architect to optimize data access patterns for APIs and applications.


Job description

CompanyFederal Reserve Bank of St. LouisThe Data Architect will lead the design and modernization of the data architecture that powers the economic data platforms of St. Louis based Research applications such as FRED. These platforms manage massive collections of economic time-series data, historical revisions, digitized archival documents, and research publications.

This role focuses on designing scalable data platforms, data models, and data governance frameworksto support long-term growth, advanced analytics, and global access to economic data. It will leverage in-depth knowledge of modern data technologies, industry frameworks, data security best practices and emerging innovations in AI/ML and data science to accelerate value, delivery and outcomes for the business.

The Data Architect will partner closely with the Application Architectto ensure seamless integration between data platforms and application services.

Key Responsibilities

  • Define and evolve the target data architecturesupporting economic data systems.
  • Design scalable storage architectures capable of supporting billions of time-series observations and historical revisions.
  • Develop metadata schemas supporting dataset discoverability, lineage, and governance.
  • Standardize dataset structures and metadata across multiple platforms.
  • Implement scalable data processing frameworks capable of supporting growing dataset volumes.
  • Improve indexing and metadata strategies that support dataset search and discovery.
  • Enable advanced analytical capabilities for researchers and developers.
  • Partner with the Application Architect to optimize data access patterns for APIs and applications.

Required Qualifications

  • 7-10+ years of experience in data architecture, data engineering or database design and large-scale enterprise cloud data implementations in complex, highly regulated environments. Deep understanding of modern data technology stacks, cloud data platforms (AWS preferred), and enterprise software solutions.
  • Demonstrated experience designing, architecting and supporting external / public-facing applications with a strong emphasis on scalability, security, availability and performance for external customer-facing platforms. Demonstrated knowledge of and leading adoption of industry best practices in the areas of DataOps and modern data stack tools, data governance, SQL and other query tools and knowledge of data privacy regulations. Industry-related certifications in one or more of the above areas are desired. Demonstrated experience in cloud data architecture skills including designing, architecting and delivering modern cloud data platforms to ingest, process, store and expose data across the enterprise. Expert knowledge of data modeling techniques and tools, data lifecycle management and integration patterns to ensure that data flows are consistent, reliable and reusable across services and solutions.
  • Experience with data storage technologies, partitioning strategies, caching, data access patterns, and robust security strategies enforcing privacy and regulatory requirements including designing standardized approaches for data classification, access control, encryption, retention and auditability.
  • Knowledge of data warehousing concepts and tools, big data technologies, machine learning and AI data requirements.
  • Strong recent hands-on experience with PostgreSQL, including schema design, advanced indexing strategies, partitioning, query optimization, and high-availability configurations, ideally in the context of large-scale time-series.
  • Outstanding communication and collaboration skills, including translating technical topics and risks into business teams. Ability to personalize communication to audience from technologists to executive leadership.
  • Extensive, in-depth experience implementing highly complex technology projects in a cross-functional matrix environment with demonstrated ability to drive consensus and deliver results. Examples of leading through influence and successfully resolving conflicting priorities are required.
  • Candidates with less experience may be considered at a lower job grade or salary.

Preferred Qualifications

  • Experience working with time-series data platforms or analytical datasets.
  • Experience with distributed query engines and large-scale data processing systems.
  • Experience with data catalog and metadata management platforms.
  • Familiarity with economic datasets or research data environments.
  • Experience supporting public data access or research-oriented platforms.

Additional Information

Location(s):

  • The selected candidate willresidewithin a reasonable commuting distance, as defined by the employing Reserve Bank, and will work full-time onsite.
  • Locations:Boston, MA- New York, NY- Philadelphia, PA- Cleveland, OH- Richmond, VA- Atlanta, GA- Chicago, IL- St. Louis, MO- Minneapolis, MN- Kansas City, MO- Dallas, TX- San Francisco, CA
  • Remote Eligible: No
  • Current remote employees will not be guaranteed to keep their remote status with their employing bank.

Salary

Salary for St. Louis: $140,000 - $170,000

  • The listed salary is applicabletothe Federal Reserve Bank of St. Louis.Final offers aredeterminedby factors including the candidate's qualifications, internal alignment considerations, district assignment, and geographic location.

Total Rewards

Bring your passion and expertise, and we'll provide the opportunities that will challenge you and propel your growth-along with a wide range of benefits and perks that support your health, wealth, and life.

In addition to competitive compensation, we offer a comprehensive benefits package all brought together in a flexible work environment where you can find balance:

  • Medical (4 options), Prescription, Dental (3 options), and Vision Insurance with no waiting period
  • 401k/Thrift Plan with generous employer match
  • Employer-funded Pension Plan
  • Paid Vacation/Sick Time and Holidays
  • Flexible Spending Accounts and Healthcare Spending Accounts
  • Life Insurance and Long Term Disability Insurance
  • Tuition Reimbursement (undergraduate and graduate)
  • Parental Leave
  • Free onsite 24/7 Fitness Center including training classes, and locker room / shower facilities
  • Onsite Cafeteria and Coffee Shop
  • Additional Convenience Benefits, Discounts and More...

At the Federal Reserve Bank of St. Louis, we are committed to a strong and resilient economy for all. We prioritize inclusion and strive to be a workplace where all employees can thrive. Learn more about Bank'sculture.

The Federal Reserve Bank of St Louis is an Equal Opportunity Employer. #LI-Onsite

Full Time / Part TimeFull timeRegular / TemporaryRegularJob Exempt (Yes / No)YesJob CategoryInformation Technology Family GroupWork ShiftFirst (United States of America)

The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.

Always verify and apply to jobs on Federal Reserve System Careers (https://rb.wd5.myworkdayjobs.com/FRS) or through verified Federal Reserve Bank social media channels.

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