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Senior Data Engineer Jobs in Kansas (NOW HIRING)

Senior Director, Data Engineering

Newton, KS ยท On-site

$93K - $126K/yr

Join Global Partners as Senior Director of Data Engineering to lead the architecture, development, and optimization of our enterprise data platform. This role drives the design and implementation of ...

Sr. Manager Program, Enterprise Data

Newton, KS ยท On-site

$102K - $102K/yr

Sr. Manager Program, Enterprise Data Position Summary The Data Program Manager is responsible for ... This leader partners closely with Data Engineering, Analytics, MDM Data Governance, and business ...

$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 ...

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 ...

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 Sep 4, 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 job categories do people searching Senior Data Engineer jobs in Kansas look for?

The top searched job categories for Senior Data Engineer jobs in Kansas 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, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $112,666 per year, or $54.2 per hour.

Sr. Associate Data Engineer (PySpark, Python & ETL)

Rx Savings Solutions

Overland Park, KS โ€ข On-site

$113K - $135K/yr

Full-time

Re-posted 12 days ago


Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

Rx Savings Solutions, part of McKesson's CoverMyMeds organization, offers an innovative, patented software system that educates and empowers consumers to make the best healthcare choices at the lowest cost. Founded and operated by a team of pharmacists and software engineers, we support a collaborative, cost-saving solution for purchasing prescription drugs.

We currently have an opportunity for a Sr Associate Data Engineerto join our growing Business Operations data engineering team!This is a junior-level position on our team (ideally looking for 2-4 years of Data Engineering / ETL experience). This assists in planning, designing, troubleshooting, and documenting technical requirements for data flows between disparate operational systems and our data warehouse. Our ideal candidate has hands-on experience building and supporting data pipelines using PySpark, SQL, and Python in a cloud-based data environment. Experience developing ETL processes, troubleshooting production data pipelines, and working with cloud technologies such as AWS, Databricks, Azure, or similar platforms is highly preferred. We are looking for engineers who can clearly articulate their contributions to designing, building, supporting, and optimizing data solutions in production environments.

McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role.

Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future.

Responsibilities:

  • Build, maintain, and optimize scalable ETL pipelines using PySpark, SQL, and Python

  • Troubleshoot and resolve production data pipeline issues, performing root cause analysis and implementing long-term solutions

  • Monitor and support data workflows to ensure reliability, performance, and data quality

  • Develop and maintain reusable data ingestion and transformation frameworks

  • Explore and implement the latest AWS technologies to enhance data capabilities and operational efficiency

  • Collaborate across teams to understand business needs and propose innovative data solutions

  • Participate in code reviews and contribute to continuous improvement of data engineering practices

  • Ensure data quality, integrity, and security across all stages of the pipeline

  • Document data flows, technical specifications, and operational procedures

  • Support deployment and integration of data solutions into production environments

Requirements:

  • Bachelor's degree in Computer Science or related technical degree, or equivalent experience, and 2+ years of experience relative to the above responsibilities

  • 2+ years of experience building and supporting data pipelines using PySpark in a cloud-based data platform environment

  • 2+ years of hands-on experience developing data transformation logic using PySpark and SQL

  • 2+ years of experience Databricks or similar cloud-based data platforms

  • 2+ years of hands-on Python development experience supporting ETL processes, automation, data transformation, or data quality initiatives

  • Experience troubleshooting, supporting, and resolving issues within production ETL and data pipeline environments

  • Knowledge of Structured and Unstructured data

  • Possess understanding of BI concepts and be familiar with relational or multi-dimensional modeling concepts

  • Understanding of RDBMS best practices and performance tuning techniques

  • Experience with cloud technologies such as AWS services such as S3, CloudWatch, EC2, and passion for a role working in a cloud data warehouse.

  • Experience with version control systems like Git

It would be nice if you had...

  • Experience with Databricks

  • Experience with AWS cloud services such as S3, CloudWatch, EC2, Glue, or Lambda

  • Experience with ETL platforms such as Talend, Informatica, SSIS, or DataStage

  • Experience with Agile and Scrum methodologies

  • Knowledge of Java or JavaScript

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, pleaseclick here.

Our Base Pay Range for this position

$80,300 - $133,900

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!