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No Experience Data Engineer Jobs in Kansas (NOW HIRING)

Data Scientist

Kansas City, KS · On-site

$110 - $160/hr

Work closely with the First Team Data Engineer to productionize models and implement ML projects seamlessly. Education & Experience Bachelor's degree in computer science, data science or related STEM ...

New

The Data Programmer role involves working with large datasets to analyze, plan, and execute complex ... Preferred : • Experience with Anchor Software or Quadient Inspire is a plus. Company : Moore is a ...

Showing results 21-40

No Experience Data Engineer information

See Kansas salary details

$39.7K

$115.7K

$158.3K

How much do no experience data engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for no experience data engineer in Kansas is $115,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,100.00 and $122,600.00 per year, depending on experience, location, and employer.

What is a no experience data engineer?

No Experience Data Engineers are individuals who are entering the field of data engineering without prior professional experience in the role. They may have relevant educational backgrounds or have completed certifications and personal projects, but are seeking entry-level positions to gain practical, on-the-job experience. These roles typically involve learning to build and maintain data pipelines, manage databases, and work with big data tools under the guidance of more experienced engineers. Employers look for foundational skills in programming, SQL, and an understanding of data systems, even if the candidate has not previously worked as a data engineer.

What skills and qualifications are needed to thrive as a no experience data engineer?

To thrive as a No Experience Data Engineer, you need a strong understanding of data structures, SQL, and basic programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with tools like SQL databases, ETL pipelines, and cloud platforms (e.g., AWS, Google Cloud) is highly beneficial, and obtaining entry-level certifications can be helpful. Strong problem-solving abilities, attention to detail, and a willingness to learn are critical soft skills for those starting out in this field. These skills and qualities enable newcomers to efficiently manage, process, and analyze data, laying a solid foundation for growth in data engineering roles.

How can entry-level data engineers quickly gain practical experience and contribute to their team?

As an entry-level Data Engineer, you can quickly gain practical experience by volunteering for small-scale data projects, assisting with data pipeline maintenance, and exploring internal documentation. Collaborating closely with senior engineers and asking for feedback accelerates learning and helps you understand best practices. Participating in code reviews and pair programming sessions also enhances your technical and teamwork skills, making it easier to contribute meaningfully to your team’s objectives.

What is the difference between No Experience Data Engineer vs Data Engineer?

AspectNo Experience Data EngineerData Engineer
Required CredentialsBasic understanding of data concepts, entry-level certificationsDegree in Computer Science or related field, advanced certifications often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time professional roles in tech or data teams
Employer & Industry UsageStartups, companies hiring entry-level data rolesTech companies, finance, healthcare, and large enterprises
Search & Comparison IntentYesYes

The main difference between a No Experience Data Engineer and a Data Engineer lies in experience and qualifications. The No Experience Data Engineer is typically an entry-level role suited for those just starting, often requiring basic data knowledge and certifications. In contrast, a Data Engineer usually has relevant experience, a degree, and advanced skills, working in more complex environments. Both roles are essential in data-driven organizations, but they differ significantly in responsibilities and expectations.

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 No Experience Data Engineer jobs in Kansas?

For No Experience Data Engineer jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching No Experience Data Engineer jobs in Kansas look for?

The top searched job categories for No Experience Data Engineer jobs in Kansas are:

What cities in Kansas are hiring for No Experience Data Engineer jobs?

Cities in Kansas with the most No Experience Data Engineer job openings:

Infographic showing various No Experience Data Engineer job openings in Kansas as of August 2026, with employment types broken down into 81% Full Time, 13% Part Time, and 6% Contract. Highlights an 65% In-person, and 35% Remote job distribution, with an average salary of $115,687 per year, or $55.6 per hour.

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

McKesson

Overland Park, KS • On-site

$113K - $135K/yr

Full-time

Posted 28 days ago


McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 210 frontline employees who took The Breakroom Quiz

47th 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 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!


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