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Data Engineer (ETL / Databricks)

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 Data Engineer (ETL / Databricks) 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 will have Databricks experience, ETL tool experience (i.e. Talend, Informatica, SSIS or DataStage), experience with SQL, and general-purpose programming languages such as Python or Java for data engineering/ingestion work. This individual will assist in end-to-end development of the ETL processes, data analytics, review business requirement documents, and execute object and data models. 

 

* Our ideal candidate must reside in the Columbus, OH area in order to work a hybrid schedule. The work will primarily be remote from home, with approximately 3 days in office per month. 

*We are not able to offer sponsorship for employment visas at this time. This includes individuals currently on F1 OPT, STEM OPT, or any other visa status that would require future sponsorship. Candidates must be authorized to work in the United States on a permanent basis without the need for current or future sponsorship. 

 
Responsibilities: 

  • Build and maintain scalable data pipelines to ingest and automate customer-provided files using ETL tools

  • Interface with cross-functional technology teams to extract, transform, and load data from diverse sources

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

  • Investigate and resolve data-related issues, providing support and troubleshooting expertise

  • 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

  • Stay current with industry trends and emerging technologies in data engineering and cloud computing

 

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 with Databricks and building data pipelines to ingest and automate files provided by customers 

  • 2+ years of experience with SQL queries, including various SQL commands 

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

  • Experience with Python 

  • 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

  • Ability to work independently and collaboratively in a fast-paced, Agile environment

  • Strong problem-solving skills and attention to detail

  • Excellent communication and documentation skills

 

 It would be nice if you had... 

  • 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

$80,600 - $134,400

McKesson is an Equal Opportunity Employer

 

McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

 

Join us at McKesson!

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Brian Tyler
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Average salary estimate

$107500 / YEARLY (est.)
min
max
$80600K
$134400K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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Together with our customers and partners, we are creating a sustainable future for health care. And working to improve patient care in every setting — one product, one partner, one patient at a time.

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Full-time, hybrid
DATE POSTED
July 25, 2025
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