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Data Engineer Manager Jobs in Kansas (NOW HIRING)

Sporting Kansas City

Data Scientist

Kansas City, KS · On-site

Work very closely with the First Team Data Engineer to ensure advanced modelling is supported by ... Support the creation of predictive models related to load monitoring and management, player ...

NovationIQ

Data Scientist

Kansas City, KS · On-site

$110 - $160/hr

Work very closely with the First Team Data Engineer to ensure advanced modelling is supported by ... Support the creation of predictive models related to load monitoring and management, player ...

Reply

Manager, Data Engineering

Kansas City, KS · On-site

At Valorem Reply, we are hiring a Manager for the Data & AI team. The person will mainly focus on ... Ability to create working environments for data engineers and scientists, and general knowledge of ...

Seaboard

Data and Analytics Manager

Merriam, KS · On-site

We manage bulk freight and chartered vessels, overseeing logistics for both in-house and third ... Work with the Data Engineer to establish and monitor data quality frameworks * Ensure compliance ...

Mariner

Analytics Engineer II

Overland Park, KS · On-site

$90K - $115K/yr

Preferred qualifications include a bachelor's degree in computer science, engineering, data analytics, or a related technical field; experience in wealth management or financial services; experience ...

Auvik Networks

You'll work alongside a Staff Data Engineer (who owns the data foundation) and report to the Engineering Manager. Your focus is on the application and agentic AI layer: designing, building, and ...

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$115.7K

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How much do data engineer manager jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data engineer manager in Kansas is $115,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,100.00 and $122,600.00 per year, depending on experience, location, and employer.

What does a data engineer manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

What are the key skills and qualifications needed to thrive as a data engineer manager?

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What are some typical challenges a data engineer manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

How much does a data engineer manager make?

A data engineer manager typically earns between $110,000 and $160,000 annually, depending on experience, location, and company size. They often oversee data teams, manage data pipelines, and require strong skills in SQL, cloud platforms, and leadership. Salaries can vary based on industry demand and certifications held.

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

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

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

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

What job categories do people searching Data Engineer Manager jobs in Kansas look for?

The top searched job categories for Data Engineer Manager jobs in Kansas are:

What cities in Kansas are hiring for Data Engineer Manager jobs?

Cities in Kansas with the most Data Engineer Manager job openings:

Data Engineer Manager jobs near you
Infographic showing various Data Engineer Manager job openings in Kansas as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, 1% Temporary, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $115,687 per year, or $55.6 per hour.

Data Scientist

Sporting Kansas City

Kansas City, KS • On-site

Full-time

Posted 8 days ago

Job description

Job Description Summary
We are seeking a creative and curious individual to join our team as a Data Scientist. In this role, the successful candidate will lead the design, development and validation of advanced models aimed at improving decision-making and supporting an evidence-informed predictive framework.
The successful candidate will work closely with coaches, scouts, analysts and other stakeholders, translating complex data into key insights, developing interpretable and context-relevant models across medical, sports sciences, scouting, squad planning and performance analysis, contributing to the development of proprietary models that provide Sporting Kansas City with a sustainable competitive advantage.
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.
Job Description
People
  • Work closely with coaches, analysts, scouts and other key stakeholders to identify football questions and translate them into advanced modelling projects.
  • Develop strong relationships with the wider Data and Analytics team, ensuring alignment with Club and department strategy.
  • Work very closely with the First Team Data Engineer to ensure advanced modelling is supported by reliable data and production-ready workflows.
  • Collaborate closely with the First Team Data Analyst, ensuring the model outputs are translated and communicated into clear and actionable insights.
  • Ensure collaboration and communication across the wider Club as needed, championing the adoption of advanced analytics across Sporting Kansas City.

Process
  • Lead the end-to-end development of applied advanced modelling projects, from problem definition with key stakeholders, through to deployment and review cycles.
  • Develop robust tools for testing, validation, versioning, monitoring, model governance and documentation, focusing on creating and establishing best practices for experimentation.
  • Continuously evaluate model performance, incorporating stakeholder feedback to ensure reliability and flexibility as the Club changes and evolves.
  • Evaluate other emerging methods and research to ensure SKC stays current with data science best practice and trends.

Product
  • Develop advanced models to support medical, sports sciences, scouting, coaching and performance analysis workflows.
  • Support the development of advanced football metrics including player, team, league and valuation models, combining and utilizing multiple data sources.
  • Develop advanced metrics, working extensively with event, tracking and physical data.
  • Support the creation of predictive models related to load monitoring and management, player availability, injury risk and other key projects in collaboration with the medical and physical performance staff.
  • In close alignment with the wider Data and Analytics teams, support the development of forecasting and scenario-analysis tools, supporting squad and salary cap planning.
  • Continuously challenge existing data, systems and practices to ensure development and drive innovation.
  • Work closely with the First Team Data Engineer to productionize models and implement ML projects seamlessly.

Education & Experience
  • Bachelor's degree in computer science, data science or related STEM subject.
  • Experience working in a Data Science, Machine Learning, Applied Statistics or similar role.
  • Proven experience designing, validating and monitoring applied machine learning models.
  • Robust experience using both SQL and Python for data analysis, modelling and automation.
  • Strong understanding of statistical modelling, experimental design and model evaluation.
  • Creative and curious problem solver with a positive attitude to new challenges.
  • Proactive and keen 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
  • Prior experience working within an elite soccer club or high-performance sporting environment.
  • Experience working with soccer event, tracking and physical performance datasets.
  • Previous experience developing models for elite athlete recruitment, physical performance, squad planning, player availability and load and fatigue management.
  • Experience deploying machine learning models and working with cloud-based environments.
  • 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.

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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