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Mls Data Engineer Jobs (NOW HIRING)

AEG

Data Engineer

Kansas City, KS · On-site

$110K - $132K/yr

We are seeking an individual with excellent attention to detail to join our team as a Data Engineer ... Evidence of experience working in the MLS. * Experience using data visualization tools such as ...

BN, an Augeo company

Lead Data Analyst

Rochester, NY · On-site

... for MLS across all four tenants, coordinating between Client Services, Engineering, and other ... Own data quality checks and validation as the last line of defense before data reaches the client ...

BN, an Augeo company

Lead Data Analyst

Rochester, NY · On-site

... for MLS across all four tenants, coordinating between Client Services, Engineering, and other ... Own data quality checks and validation as the last line of defense before data reaches the client ...

Brand Networks

Lead Data Analyst

Rochester, NY · On-site

... for MLS across all four tenants, coordinating between Client Services, Engineering, and other ... Own data quality checks and validation as the last line of defense before data reaches the client ...

Listingbook, LLC

Developer: ColdFusion

Greensboro, NC · On-site

With real-time MLS data and public records, agents have the ability to view their customers' search ... The ColdFusion Developer works in a dynamic Agile team environment to: gather requirements, perform ...

Listingbook, LLC

Developer: ColdFusion

Greensboro, NC

With real-time MLS data and public records, agents have the ability to view their customers' search ... The ColdFusion Developer works in a dynamic Agile team environment to: gather requirements, perform ...

Catapult Sports

Senior ML/Data Engineer

New York, NY

$116K - $157K/yr

Our technology is used across the NFL, NBA, NHL, MLS, EPL, AFL, NRL, NCAA, and many other elite ... We are looking for a Senior ML / Data Engineer to build the data infrastructure that powers this ...

Catapult Sports

Senior ML/Data Engineer

New York, NY · On-site

$116K - $157K/yr

Our technology is used across the NFL, NBA, NHL, MLS, EPL, AFL, NRL, NCAA, and many other elite ... We are looking for a Senior ML / Data Engineer to build the data infrastructure that powers this ...

Catapult Sports

Senior ML/Data Engineer

New York, NY · On-site

$116K - $157K/yr

Our technology is used across the NFL, NBA, NHL, MLS, EPL, AFL, NRL, NCAA, and many other elite ... We are looking for a Senior ML / Data Engineer to build the data infrastructure that powers this ...

NovationIQ

Data Scientist

Center, TX · On-site

Work very closely with the First Team Data Engineer to ensure advanced modelling is supported by ... Evidence of experience working in the MLS.Experience using data visualization tools such as Tableau ...

AEG

Data Scientist

Kansas City, KS · On-site

Work very closely with the First Team Data Engineer to ensure advanced modelling is supported by ... Evidence of experience working in the MLS. * Experience using data visualization tools such as ...

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All JobsMls Data Engineer Jobs

Mls Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do mls data engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for mls data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is an MLS Data Engineer?

An MLS Data Engineer is a technology professional who specializes in managing, processing, and optimizing data for Multiple Listing Services (MLS), which are databases used by real estate professionals to share information about properties for sale. They design, build, and maintain data pipelines, ensure data accuracy and integrity, and often work with large datasets to enable analytics and reporting. MLS Data Engineers typically collaborate with real estate agents, brokers, analysts, and software developers to deliver reliable data solutions that support business decisions and enhance user experiences.

What are the key skills and qualifications needed to thrive as an MLS Data Engineer?

To thrive as an MLS Data Engineer, you need a strong background in computer science, data engineering, and experience with multiple listing service (MLS) data formats, typically supported by a degree in a related field. Proficiency with ETL tools, SQL, Python, cloud platforms (such as AWS or Azure), and familiarity with real estate data systems like RETS or RESO Web API is essential. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with stakeholders and ensure data integrity. These skills are crucial for building reliable data pipelines and delivering accurate, actionable insights to real estate organizations.

What are some common challenges faced by MLS Data Engineers when integrating data from multiple listing services?

MLS Data Engineers often encounter challenges related to data standardization and quality when integrating data from multiple listing services, as each MLS may use different schemas, formats, and update cycles. Ensuring data consistency and accuracy across sources is crucial, which requires building robust ETL pipelines and validation processes. Additionally, collaborating closely with product teams, data analysts, and MLS vendors helps address discrepancies and optimize data flows. Overcoming these challenges not only improves data reliability but also contributes to more insightful analytics and better end-user experiences.

What is the difference between Mls Data Engineer vs Mls Data Analyst?

AspectMls Data EngineerMls Data Analyst
CredentialsBachelor's in CS, Data Science, or related; experience with data engineering toolsBachelor's in Statistics, Data Science, or related; proficiency in data analysis tools
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowInterprets data, creates reports, supports decision-making
Industry UsageUsed in tech, real estate, and data-driven companies for infrastructureUsed across industries for insights and reporting

The Mls Data Engineer focuses on developing and maintaining data infrastructure, while the Mls Data Analyst interprets data to generate insights. Both roles are essential in data-driven environments but serve different functions within the data ecosystem.

What are popular job titles related to Mls Data Engineer jobs?

For Mls Data Engineer jobs, the most frequently searched job titles are:

Infographic showing various Mls Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

Kansas City, KS • On-site

AEG
Recruiting and Staffing Services • 51 - 200 employees
Learn more about AEGexternal

$110K - $132K/yr

Full-time

Posted 25 days ago

Key responsibilities

  • Lead the design, development, and maintenance of scalable data pipelines and data infrastructure.

  • Provide stakeholders with clean, reliable, accessible, and actionable data to support decision-making.

  • Collaborate with internal and external partners to ensure efficient data integration, deployment, and adherence to data standards.

Job description

We are seeking an individual with excellent attention to detail to join our team as a Data Engineer. In this role, the successful candidate will lead the design, development and maintenance of a best-in-class data infrastructure, delivering scalable data pipelines and ensuring high-quality data is available for analysis and decision-making across the Club.
The successful candidate will provide key stakeholders with clean, reliable, accessible and actionable data, contributing to the development of SKC's data ecosystem.
Sporting Kansas City is an equal opportunity employer. We celebrate diversity and equity and are committed to creating an inclusive environment for all associates. All associates are expected to positively collaborate with individuals of diverse backgrounds. We encourage all talented individuals looking for a challenge to apply.
People
  • Work closely with coaches, analysts, scouts, performance coaches and other key stakeholders to understand data needs and translate them into scalable solutions.
  • Develop strong relationships with the wider Data and Analytics team, promoting best practices in data management, governance and accessibility.
  • Ensure collaboration and communication with wider Club as needed, working with internal and external partners to ensure efficient data integration, adoption and deployment.

Process
  • Lead the design, development and maintenance of scalable ETL/ELT pipelines to support the creation of tools, platforms and reports aimed at facilitating decision-making.
  • Ensure reliable and consistent data collection, validation, monitoring, testing, transformation and delivery processes.
  • Lead the implementation of high-quality standards for comprehensive data storage, version control, schema documentation and governance.
  • Collaborate with our IT team to ensure data protection and compliance policies are upheld and central to our practices.
  • Continuously evaluate and develop existing workflows, infrastructure and practices to maximize reliability.
  • Evaluate other emerging technologies and solutions to ensure SKC stays current with engineering best practice and trends.

Product
  • Lead the development and maintenance of SKC's centralized data platform.
  • Develop and manage soccer-specific databases and APIs, enabling efficient data access.
  • Integrate data from multiple soccer data providers and Club systems to create a single source of truth.
  • In collaboration with the rest of the Data and Analytics team, support the development and deployment of reporting tools, internal applications, web tools and dashboards.
  • Continuously challenge existing data, systems and practices to ensure development and drive innovation.
  • Ensure data architecture optimization to support future scalability and reliability as our team and provision grows.
  • Work very closely with the First Team Data Scientist to productionize models and implement ML projects seamlessly.

Education & Experience
  • Bachelor's degree in computer science, data science or related STEM subject.
  • Significant experience working in a Data Engineering or similar role.
  • Proven experience designing, developing and maintaining data pipelines, data models and database schemas.
  • Robust experience using both SQL and Python for data cleaning, engineering, transformation and automation workflows.
  • Experience working with modern cloud-based data infrastructure (i.e., Azure, AWS or GCP).
  • Experience implementing best-in-practice data orchestration, version control, governance and other data best practices
  • Creative and curious problem solver with a positive attitude to new challenges.
  • Proactive and eager to learn, able to pick up new skills and work as part of a team.
  • Excellent attention to detail and evidence of working on developing strong analytical skills.
  • Evidence of excellent communication skills, able to translate technical concepts into practical solutions.

Preferred Experience
  • Previous experience working within an elite soccer club or high-performance sporting environment.
  • Experience working with soccer event, tracking and physical performance datasets.
  • Strong understanding of technical and tactical aspects of soccer.
  • Evidence of experience working in the MLS.
  • Experience using data visualization tools such as Tableau or other equivalent software.
  • Experience supporting ML deployment and MLOps workflows.

Physical Requirements
  • Ability to work in office, stadium, and outdoor environments with the ability to travel as required.
  • Ability to occasionally lift up to 25 pounds.
  • Ability to work non-traditional hours including evenings, weekends, and holidays.

Additional Responsibilities
  • Represent Sporting Kansas City professionally at all times.
  • Maintain confidentiality of sensitive information.
  • Comply with Club policies and procedures.
  • Perform other duties as assigned.
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About AEG

Sourced by ZipRecruiter

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Saint Louis, MO, US

Year founded

1992

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