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Senior Data Analytics Engineer Jobs in Kansas (NOW HIRING)

Analytics Engineer

Newton, KS ยท On-site

$92K - $177K/yr

You have worked with teams to serve as the domain expert pertaining to Data, Analytics, Technology ... Collaborate with departments, engineers, and data scientists to align on data needs and strategies ...

Analytics Engineer

Newton, KS ยท On-site

$118K - $177K/yr

You have worked with teams to serve as the domain expert pertaining to Data, Analytics, Technology ... Collaborate with departments, engineers, and data scientists to align on data needs and strategies ...

Senior Data Analyst

Overland Park, KS ยท On-site

$85K - $107K/yr

As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media, measurement, and data analytics experience to serve as a senior individual contributor on MMGY ...

Senior Data Analyst

Overland Park, KS ยท On-site +1

$85K - $107K/yr

As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media, measurement, and data analytics experience to serve as a senior individual contributor on MMGY ...

Senior Data Engineer

Overland Park, KS ยท Hybrid

$104K - $142K/yr

Senior Data Engineer Senior Data Engineer Hybrid 1: This role requires associates to be in-office1 ... Perform capacity analysis; recommend and implement capacity increases for data platform performance ...

Senior Data Engineer

Leawood, KS ยท Hybrid

$103K - $140K/yr

Senior Data Engineer Hybrid 1: This role requires associates to be in-office1 - 2days per week ... Perform capacity analysis; recommend and implement capacity increases for data platform performance ...

Sr. Data Analyst

Overland Park, KS ยท On-site

$85K - $107K/yr

This job is part of the Data Science & Analytics job function. They are responsible for reviewing ... SQL and Python Some data engineering skills preferred including PySpark for Microsoft Fabric and ...

Analytics Engineer III

Overland Park, KS ยท On-site

$113K - $135K/yr

The Analytics Engineer III role is responsible for bridging the gap between, data miners, product managers, and other Data Science & Engineering teams, and mentoring junior members of the analytics ...

Senior Data Engineer

Overland Park, KS

$104K - $142K/yr

... a Senior Level Data Engineer to join their Data Services Team. The right candidate will utilize ... This role requires significant understanding of data mining and analytical techniques. An ideal ...

... Engineering, IT security, and remote proctoring vendors to align on analytical requirements, data ... senior leadership * Strong business acumen with the ability to prioritize analytical work by impact ...

Senior Data Engineer

Overland Park, KS ยท On-site

$103K - $140K/yr

Responsibilities Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to ... Monitor, support, and analyze existing pipelines and recommend performance and process improvements ...

Senior Data Engineer

Overland Park, KS ยท On-site

$103K - $140K/yr

Responsibilities Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to ... Monitor, support, and analyze existing pipelines and recommend performance and process improvements ...

Senior Data Engineer

Overland Park, KS

$103K - $140K/yr

Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to mentor, orchestrate ... Monitor, support, and analyze existing pipelines and recommend performance and process improvements ...

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Showing results 1-20

Senior Data Analytics Engineer information

See Kansas salary details

$72.2K

$112.7K

$156.1K

How much do senior data analytics engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for senior data analytics 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 the difference between Senior Data Analytics Engineer vs Data Scientist?

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

How does a senior data analytics engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

What does a senior data analytics engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

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

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.
What are the most commonly searched types of Data Analytics Engineer jobs in Kansas? The most popular types of Data Analytics Engineer jobs in Kansas are:
What are popular job titles related to Senior Data Analytics Engineer jobs in Kansas? For Senior Data Analytics Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Senior Data Analytics Engineer jobs in Kansas look for? The top searched job categories for Senior Data Analytics Engineer jobs in Kansas are:
What cities in Kansas are hiring for Senior Data Analytics Engineer jobs? Cities in Kansas with the most Senior Data Analytics Engineer job openings:
Infographic showing various Senior Data Analytics Engineer job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% 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 17 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.