Specialist, Data Engineering – Transactional Data-McKesson

Job Description

Job Title: Specialist, Data Engineering – Transactional Data

Company: McKesson

Location: Columbus, OH

Pay: $105500 – 175900 per year

AI Pay Analysis: The hourly rate for the role of “Specialist, Data Engineering – Transactional Data” in Columbus, OH, which ranges from approximately $50.69 to $84.69 per hour (based on annual salary of $105,500 to $175,900), appears competitive when compared to industry standards. Data engineering specialists typically earn between $100,000 and $150,000 annually in this region, with variations based on experience and specific technical skills. Moreover, given the increasing demand for data engineering professionals, this salary range aligns well with market trends, indicating that it is a favorable offer within the Columbus area.

Job description:

McKesson is a leading, impact-driven Fortune 10 company that influences nearly every facet of healthcare. We pride ourselves on delivering insights, products, and services that enhance the accessibility and affordability of quality care. Our commitment extends to the health, happiness, and well-being of our employees and those we serve – because we genuinely care.

At McKesson, your contributions matter. We cultivate a culture that encourages growth, innovation, and the implementation of new ideas, allowing us to collaboratively shape the future of health for patients, communities, and our workforce. If you aspire to be part of tomorrow’s healthcare advancements today, we encourage you to reach out.

CoverMyMeds’ Technology division is seeking a Specialist in Data Engineering – Transactional Data to join our accomplished Data Engineering team. This highly skilled group of engineers, analysts, and architects is dedicated to delivering high-quality, scalable, and repeatable data solutions for our internal and external clients. The efforts of our Data Engineering team are instrumental in ensuring that more individuals receive the medications necessary for healthier lives.

Responsibilities:
The Specialist in Data Engineering will enhance and support the data platforms that are vital for processing, storing, and organizing the essential data utilized by our Product Engineering teams. This role will involve contributing to the technical strategy and execution necessary for providing stable, reliable, and secure solutions while proactively keeping business partners informed about the health of our Data & Analytics platform and addressing any issues that arise. Collaboration with Data Systems Analysts, as well as Product and Technology partners, will be key in solving business challenges and delivering effective solutions.

Position Description:

• Design and develop comprehensive solutions for complex data integrations across various systems for both internal and external McKesson/CoverMyMeds customers.
• Create Data Ingestion and Integration pipelines from diverse sources to application data repositories.
• Analyze databases, files, and unstructured data to identify, transport, and conduct quality tests on the data essential for synchronization tasks, including regular and incremental data loads.
• Write code in SQL and utilize cloud-based tools such as Snowflake or Databricks to cleanse, apply business logic, and standardize data in accordance with business rules, thus supporting effective data governance and facilitating clear end-user reporting.
• Conceptualize a data model based on business reporting requirements, engaging with business partners to fully understand business logic and the end use of data.
• Collaborate with application development teams to determine data needs and design appropriate data flows into production systems.

Candidates should be located in the Columbus, OH metropolitan area. Although remote work is primarily permitted, the candidate must reside within the Columbus area. Sponsorship is not available for this position now or in the future.

Minimum Qualifications:

• A degree or equivalent experience, typically requiring 4+ years of relevant work experience.

Education:

• Bachelor’s degree in Computer Science, Information Systems, or a related field.

Critical Skills:

• A minimum of 4 years of hands-on technical experience with data warehouse solutions, cloud technology, relational databases, and event streaming tools such as Postgres, SQL Server, Qlik, Databricks, and Kafka.
• Proficient in working with both structured and unstructured data in batch and real-time streaming environments.
• Experience with supporting OLTP applications, real-time analytics, system integration, and data governance.
• Proven expertise in database design and modeling for transactional systems.

Preferred Skills:

• Advanced knowledge of cloud data technologies.
• Experience with large-scale implementation programs and business-critical applications.
• Exceptional written and verbal communication skills, with the ability to communicate timely and set clear expectations.
• A proactive listener and effective communicator who can lead by influence.
• Strong problem-solving skills with the ability to devise creative solutions to complex challenges.
• A demonstrated sense of urgency and ownership regarding task and project completion.
• Highly skilled in collaborating across various business and technical functions to achieve objectives.
• Familiarity with FHIR is a plus.

We are proud to offer a competitive compensation package as part of McKesson’s Total Rewards program, based on performance, experience, skill sets, equity, market evaluations, and geographical considerations. The pay range for this position is $105,500 – $175,900, in alignment with McKesson’s pay philosophy and compliant with all applicable regulations. Additional compensation opportunities, such as annual bonuses or long-term incentives, may be available.

McKesson is an Equal Opportunity Employer. We are dedicated to fostering a diverse and inclusive environment, and we provide equal employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, or genetic information. For more details on McKesson’s Equal Employment Opportunity policies, please visit our website.

Join us at McKesson!

Job Posting Date: Thu, 19 Jun 2025 06:42:19 GMT

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