1

Senior Data Engineer Jobs in Kansas (NOW HIRING)

$91K - $123K/yr

As a Senior Staff Software Engineer on Data Delivery, you will help shape the long-term technical strategy for Data Delivery and the broader Stats & Analytics domain. You will work across teams to ...

Senior Applied AI Engineer

Overland Park, KS ยท Remote

$115K - $152K/yr

Data & Backend: You are comfortable designing schemas, writing queries, and reasoning about ... As a Senior Engineer on our team, you are expected to demonstrate high autonomy and depth across ...

Sr. DevOps Engineer

Overland Park, KS ยท On-site

$50 - $68.25/hr

Job#: 3045697 Sr. DevOps Engineer Location: Overland Park, Kansas (Onsite 3x per week) Role ... This role will partner with Data Engineering, Data Architecture, Security, and Platform Engineering ...

This role sits between senior leadership and a small but high-impact technical team and is ... Work with the Data Engineer to establish and monitor data quality frameworks * Ensure compliance ...

Senior C# Software Engineer - Map Data

Olathe, KS ยท On-site

$115K - $152K/yr

Garmin is seeking a full-time Senior C# Software Engineer on their Map Data team at their U.S. headquarters. In this role, you will help build and evolve the map data systems that power Garmin ...

Lead AI Engineer

Kansas City, KS ยท On-site

$98K - $130K/yr

Title: Lead Data Engineer (with AI. ML, Python, Java, Kafka) Location: Leawood, KS Description ... Senior Managers to deliver scalable, reliable, and innovative AI applications that transform ...

Senior C# Software Engineer - Map Data

Olathe, KS ยท On-site

$118K - $156K/yr

Overview We are seeking a full-time Senior C# Software Engineer on our Map Data team at Garmin's U.S. headquarters in the Greater Kansas City area. In this role, you will help build and evolve the ...

As a Senior Civil Engineer on our Data Center Civil Team, you will be a part of the firm's largest and most complex projects. You will serve as a project manager on some projects and lead design ...

Senior Civil Engineer - Data Center

Kansas City, KS ยท On-site +1

$113K - $140K/yr

As a Senior Civil Engineer on our Data Center Civil Team, you will be a part of the firm's largest and most complex projects. You will serve as a project manager on some projects and lead design ...

As a Senior Civil Engineer on our Data Center Civil Team, you will be a part of the firm's largest and most complex projects. You will serve as a project manager on some projects and lead design ...

Senior Staff Engineer

Manhattan, KS ยท On-site

$92K - $127K/yr

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound ... Work closely with senior-level project manager to gain project management and engineering ...

Showing results 41-60

Senior Data Engineer information

See Kansas salary details

$72.2K

$112.7K

$156.1K

How much do senior data engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for senior data engineer in Kansas is $112,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $128,400.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

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 Senior Data Engineer jobs in Kansas?

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

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

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

What are popular job titles related to Senior Data Engineer jobs in KS?

For Senior Data Engineer jobs in KS, the most frequently searched job titles are:

Infographic showing various Senior Data Engineer job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $112,666 per year, or $54.2 per hour.

Senior Director, Data & Analytics Engineering

Quality Technology Services, LLC

Overland Park, KS โ€ข On-site

Full-time

Posted 25 days ago


Job description

As the Senior Director of Data & Analytics Engineering, you will serve as a senior technology leader responsible for defining and executing the enterprise vision, strategy, and operating model for data and analytics engineering across QTS. You will provide strategic leadership for the architecture, governance, scalability, and modernization of the enterprise data ecosystem, ensuring data becomes a foundational asset that accelerates business growth, operational excellence, and AI-driven innovation.

This role leads multiple teams and technical leaders responsible for building and operating modern, AI-enabled data platforms that power enterprise analytics, business operations, executive decision-making, and future digital capabilities. You will shape long-term data and AI investments, influence enterprise technology strategy, and partner closely with executive leaders across Product, Technology, Finance, Operations, and Business Functions to transform how data is sourced, governed, activated, and consumed across the organization.

As a key leader within the Enterprise Data & Analytics organization, you will establish strategic priorities, develop organizational capability, and champion modern engineering practices that position QTS to scale effectively while maximizing the value of data, analytics, and artificial intelligence.


What You Will Do: (Job Responsibilities)

  • Define and drive the long-term enterprise vision and strategy for data and analytics engineering, ensuring alignment with corporate growth objectives, digital transformation initiatives, and business strategy.
  • Serve as a trusted advisor to executive leadership, influencing enterprise decisions related to data, analytics, AI, governance, and technology investments.
  • Establish organizational priorities, operating models, and investment strategies that optimize platform scalability, business value delivery, and technology modernization.
  • Lead and develop a multi-layered organization of engineering managers, architects, and technical leaders, building leadership bench strength and succession plans for critical roles.
  • Design and evolve the organizational structure, talent strategy, and operating model required to support rapid business growth and emerging technology needs.
  • Manage departmental budgets, vendor relationships, and strategic technology investments to ensure effective allocation of resources and achieve business outcomes.
  • Drive enterprise-wide adoption of data products, governance standards, AI capabilities, and self-service analytics through partnership with senior business and technology leaders.
  • Establish and champion enterprise standards, architectural principles, and data governance frameworks that enable consistency, compliance, and scalability across business functions.
  • Represent the Data & Analytics function in executive forums, strategic planning sessions, and enterprise transformation initiatives.
  • Other duties as assigned.
  • Min. 11 years of experience in data engineering, analytics engineering, or data platform leadership, including 5+ years leading managers or senior technical teams.
  • 15+ years of progressive experience in data engineering, analytics engineering, data platforms, or enterprise technology leadership, including 8+ years leading managers, senior leaders, and large-scale engineering organizations.
  • Demonstrated success defining and executing enterprise-wide data, analytics, or digital transformation strategies across complex, rapidly scaling organizations.
  • Experience leading through multiple layers of leadership, including managers, senior managers, architects, and technical leads.
  • Proven ability to influence executive stakeholders and drive alignment across business, product, operations, and technology organizations.
  • Experience managing significant budgets, technology investments, vendor relationships, and strategic sourcing decisions.
  • Track record of building and scaling high-performing organizations while driving organizational change, capability development, and succession planning.
  • Experience presenting technology strategies, business cases, investment recommendations, and transformation roadmaps to executive leadership teams and Board-level audiences.
  • Deep expertise in architecting, scaling, and governing modern cloud-based data platforms, including data warehousing, ingestion, transformation, semantic modeling, and data product frameworks, with extensive experience leveraging technologies such as Snowflake, Fivetran, dbt, and contemporary ELT ecosystems.
  • Demonstrated expertise in modern streaming and near-real-time data architectures, including Kafka, CDC, and dynamic data processing patterns, with the ability to evaluate, prioritize, and implement solutions that enable business agility and data-driven decision-making.
  • Extensive experience with software engineering best practices and agile delivery (sprint planning, code review, testing, CI/CD, on-call, postmortems).
  • Strong understanding of enterprise analytics and data consumption strategies, including BI and visualization platforms such as Tableau, Looker, or similar tools, with the ability to influence stakeholders and align analytical capabilities to business objectives.

We conform to all the laws, statutes, and regulations concerning equal employment opportunities and affirmative action. We strongly encourage women, minorities, individuals with disabilities and veterans to apply to all of our job openings. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, or national origin, age, disability status, Genetic Information & Testing, Family & Medical Leave, protected veteran status, or any other characteristic protected by law. We prohibit retaliation against individuals who bring forth any complaint, orally or in writing, to the employer or the government, or against any individuals who assist or participate in the investigation of any complaint or discrimination claim.

The "Know Your Rights" Poster is included here:

Know Your Rights (English)

Know Your Rights (Spanish)

The pay transparency policy is available here:

Pay Transparency Nondiscrimination Poster-Formatted

QTS is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to talentacquisition@qtsdatacenters.com and let us know the nature of your request and your contact information.