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Manager Data Engineering Jobs in Kansas (NOW HIRING)

Total Performance Consulting

$98K - $118K/yr

You'll work hands-on alongside functional engineering teams, contributing to data modeling ... data management tools and your experience with continuous delivery will support the end-to-end ...

MHC Kenworth

Data Engineer

Leawood, KS · Hybrid

$111K - $133K/yr

Data Engineer Murphy-Hoffman Company, LLC is North America's largest Kenworth truck Dealership and ... Bachelor's degree in Data Management, Data Science, BI Analytics, or related * Proven expertise in ...

Sedgwick

Data Engineer AI

Overland Park, KS · On-site +1

$108K - $130K/yr

... Azure to manage the ROI of the Transformation Office. • Direct Stakeholder Collaboration: Work as a dedicated engineering partner to MLOps and Data Science teams to rapidly iterate on data ...

Murphy-Hoffman Company

Data Engineer

Leawood, KS · On-site

$111K - $133K/yr

Bachelor's degree in Data Management, Data Science, BI Analytics, or related * Proven expertise in data modeling and data transformation * Strong knowledge of database structure systems and data ...

Accenture

Google Data Specialist

Overland Park, KS · On-site

$70K - $196K/yr

You Are A hands-on Specialist with foundational experience in Data Engineering, Analytics, or ... Implement metadata management, data quality checks, and lineage tracking using GCP tools (Dataplex ...

Sifted

Product Engineer Data & AI

Overland Park, KS · On-site

... engineering * Designed or managed data pipelines handling millions of records daily * Proven experience gathering requirements and working directly with stakeholders* * Experience deploying and ...

VeriShip

Product Engineer Data & AI

Overland Park, KS · On-site

... engineering * Designed or managed data pipelines handling millions of records daily * Proven experience gathering requirements and working directly with stakeholders* * Experience deploying and ...

Deloitte

Cyber Data Protection Manager

Wichita, KS · Hybrid

$99K - $134K/yr

Providing technical engineering and troubleshooting support to network, application, and user ... Data Classification, Labeling and Rights Management technologies such as Microsoft Purview.

OTSI

Staff Engineering Technician

Overland Park, KS

Data & Analytics (Traditional EDW, BI, Big data, Data Engineering, Data Management, Data Modernization, Data Insights) Digital Transformation (Cloud Computing, Mobility, Micro Services, RPA, DevOps ...

OTSI

Staff Engineering Technician

Overland Park, KS · On-site

Our focused technologies are: • Data & Analytics (Traditional EDW, BI, Big data, Data Engineering, Data Management, Data Modernization, Data Insights) • Digital Transformation (Cloud Computing ...

NinjaOne

Data Software Engineer

Kansas, KS · On-site +1

... engineering and data science. * Experience in building data pipelines and managing large-scale data systems using technologies like SQL and Python * Proficiency in cloud platforms like AWS, GCP, or ...

StackAdapt

This role will be responsible for all operational database administration duties, data engineering ... Comfortable with Cloud-hosted solutions, especially AWS with experience deploying Secrets Manager ...

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Showing results 1-20

All JobsManager Data Engineering JobsManager Data Engineering Jobs in Kansas

Manager Data Engineering information

See Kansas salary details

$27.6K

$86.6K

$153.4K

How much do manager data engineering jobs pay per year?

As of Jun 21, 2026, the average yearly pay for manager data engineering in Kansas is $86,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,900.00 and $111,900.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

What are the key skills and qualifications needed to thrive as a Manager Data Engineering, and why are they important?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

What are Manager Data Engineering roles and responsibilities?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

How does a Manager of Data Engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.
What are the most commonly searched types of Data Engineering jobs in Kansas? The most popular types of Data Engineering jobs in Kansas are:
What are popular job titles related to Manager Data Engineering jobs in Kansas? For Manager Data Engineering jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Kansas look for? The top searched job categories for Manager Data Engineering jobs in Kansas are:
What cities in Kansas are hiring for Manager Data Engineering jobs? Cities in Kansas with the most Manager Data Engineering job openings:
Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Kansas as of June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 2% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $86,638 per year, or $41.7 per hour.
Data Engineer

Data Engineer

Total Performance Consulting

On-site

$98K - $118K/yr

Other

Posted 16 days ago

Job description

About the Role

This role supports data engineering execution across complex application development initiatives. You'll work hands-on alongside functional engineering teams, contributing to data modeling, database development, and pipeline work. You'll design and maintain robust data infrastructure that supports application and reporting needs in a collaborative, production-focused environment.

Responsibilities

  • Support data engineering execution across complex application development initiatives, ensuring data models, integrations, and pipelines align with established architectural standards.
  • Collaborate with your engineering teammates to design and build robust data models, stored procedures, and database objects that support application and reporting needs.
  • Develop and maintain SQL Server databases, including schema design, indexing strategies, query optimization, and stored procedures.
  • Work with MongoDB to design document schemas and support NoSQL data access patterns alongside relational workloads.
  • Participate in code and schema reviews, upholding data quality, performance, and consistency standards across the team.
  • You will use your software development skills in an agile environment to also develop new data pipelines, APIs, and data management tools and your experience with continuous delivery will support the end-to-end lifecycle.

Languages and Frameworks

  • MS SQL Server, strong production experience with schema design, complex query writing, stored procedure development, indexing, and query performance tuning.
  • MongoDB, hands-on NoSQL experience, including document modeling and integrating with relational systems.
  • Comfortable modeling data across relational and document-based systems, analyzing schemas, and resolving data quality issues.
  • Experience with the Azure data stack preferred, including Azure Data Factory, and Microsoft Fabric.
  • Python, working proficiency for scripting, automation, and data pipeline support is a plus.

Tools

  • Experience maintaining projects using a distributed version control system such as Git and GitHub.
  • Experience in automated pipeline deployment and schemas into production environments.
  • You should be experienced with agile methods and the concepts behind continuous delivery.
  • We expect you to be passionate about database modeling, stored procedure writing, pipelines, and APIs, so we want to see your experience with security, testing, performance, JSON, and REST.
  • We are eager to hear about your experience and opinions around data quality, test strategy, and test automation.

Preferred Qualifications

  • Minimum 5+ years working in Data Science.
  • We expect you to have a passion and experience in shipping and maintaining production software products.
  • You must have strong verbal and written skills.
  • We are most interested in candidates who want to work in an environment where attention to detail, solving problems, simplicity, quality, and moving quickly are highly prized.

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