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F1 Engineering Jobs in Kansas (NOW HIRING)

F1 Engineering information

See Kansas salary details

$34.8K

$110.1K

$169.9K

How much do f1 engineering jobs pay per year?

As of Aug 31, 2026, the average yearly pay for f1 engineering in Kansas is $110,054.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,000.00 and $130,700.00 per year, depending on experience, location, and employer.

What is F1 engineering?

F1 engineering refers to the specialized field of designing, developing, and optimizing Formula 1 race cars. It involves a multidisciplinary team of engineers who focus on areas such as aerodynamics, materials science, mechanical systems, electronics, and data analysis to maximize the performance, safety, and reliability of F1 vehicles. F1 engineering is highly competitive and fast-paced, requiring innovative solutions and constant adaptation to evolving regulations and technologies. Professionals in this field work closely with drivers and teams to ensure the car's setup and strategy are optimized for each race. The role demands a deep understanding of physics, engineering principles, and teamwork.

What are the key skills and qualifications needed to thrive as an F1 engineer, and why are they important?

To thrive as an F1 Engineer, you need a strong background in mechanical or automotive engineering, advanced mathematics, and physics, typically supported by a relevant engineering degree. Proficiency in CAD software, data analysis tools, and simulation systems like CFD and FEA is essential, along with familiarity with telemetry systems. Outstanding problem-solving, teamwork, and communication skills help you adapt quickly and collaborate effectively under intense pressure. These skills and qualities are critical for optimizing car performance, ensuring safety, and driving innovation in the fast-paced world of Formula 1.

What are some typical challenges faced by F1 engineers during a race weekend, and how do teams address them?

F1 engineers often face challenges such as rapidly changing weather conditions, unexpected technical issues, and the need to adapt car setups for optimal performance. Communication and flexibility are crucial, as engineers must collaborate closely with drivers, strategists, and mechanics to analyze real-time data and make quick decisions. Teams address these challenges through thorough preparation, simulation work, and leveraging advanced telemetry systems to monitor car performance and predict potential problems. This dynamic environment requires engineers to remain calm under pressure and think creatively to help the team succeed.

What is the difference between F1 Engineering vs Mechanical Engineering?

AspectF1 EngineeringMechanical Engineering
Required CredentialsDegree in engineering, specialized F1 racing certificationsBachelor's or Master's in Mechanical Engineering, professional licensure
Work EnvironmentHigh-pressure, fast-paced motorsport teams, on-track and lab settingsManufacturing, design, research labs, and various industries
Industry UsagePrimarily motorsport, automotive racing teamsBroad industry including automotive, aerospace, manufacturing

F1 Engineering focuses on high-performance racing car design and development within motorsport teams, requiring specialized certifications and working in dynamic, high-stakes environments. Mechanical Engineering offers a broader scope across multiple industries, emphasizing design, analysis, and manufacturing processes. While both fields share foundational engineering principles, F1 Engineering is highly specialized for racing applications, whereas Mechanical Engineering provides versatile career options.

Is it hard to get an engineering job in F1?

Getting an engineering job in F1 is highly competitive due to the industry's specialized skills, advanced technology, and limited openings. Candidates typically need a strong background in engineering, experience with simulation tools, and relevant internships or projects to improve their chances.

What are popular job titles related to F1 Engineering jobs in Kansas?

For F1 Engineering jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching F1 Engineering jobs in Kansas look for?

The top searched job categories for F1 Engineering jobs in Kansas are:

Infographic showing various F1 Engineering job openings in Kansas as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $110,054 per year, or $52.9 per hour.

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

McKesson Corporation

Overland Park, KS • On-site

$113K - $135K/yr

Full-time

Re-posted 7 days ago


McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 210 frontline employees who took The Breakroom Quiz

46th of 86 rated pharmaceutical


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 Engineer to 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, please click 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.
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