About
Ingestion-Focused Engineer
– responsible for defining scalable ingestion patterns, establishing standards, and mentoring junior engineers as we expand data intake across domains.
Pipeline-Focused Engineer (Databricks)
– responsible for designing and building robust data pipelines, leveraging Databricks and modern data engineering best practices.
Both roles play a key part in shaping how data flows into and across our platform and will partner closely to deliver scalable, high-quality data solutions. A background in pharmacy claims data is a strong plus for either role.
Eligibility Candidate must reside in the Columbus, OH area to support a hybrid work schedule.
Responsibilities
Design and develop solutions and commissioning of complex data across systems for internal and external customers.
Develop data ingestion and integration pipelines from various sources into the data warehouse/lakehouse.
Define and implement scalable ingestion and pipeline patterns to support both batch and real‑time processing.
Work with databases, files, and unstructured data to identify, transport, and validate data required for synchronization and incremental loads.
Write code in SQL and/or cloud‑based tools such as Databricks (preferred) or Snowflake to cleanse, apply business logic, and standardize data according to business rules.
Design conceptual and logical data models based on business reporting requirements.
Partner with business and application teams to understand source system data flows and architect efficient downstream solutions.
Mentor junior engineers and contribute to engineering standards, best practices, and code quality.
Align role focus (ingestion vs. pipeline) based on candidate strengths and team needs.
Qualifications
Bachelor’s degree in Computer Science, Information Systems or related field, or related experience, and typically requires 7+ years of technical and professional experience related to the responsibilities listed above.
Strong hands‑on experience with cloud data platforms (Databricks strongly preferred), data warehousing, and pipeline development.
Experience building and maintaining scalable data ingestion frameworks and pipelines.
Experience working with structured and unstructured data in batch and real‑time environments.
Strong SQL skills and experience applying business logic within data transformations.
Experience supporting Reporting & Analytics, Real‑Time Analytics, Systems Integration, and Data Governance.
Demonstrated expertise in data modeling and database design.
Experience with large‑scale data platform implementations.
Preferred Skills
Experience with Databricks (Delta Lake, Spark, workflows, and pipeline orchestration).
Background working with pharmacy or healthcare claims data.
Excellent written and verbal communication skills; clear, timely communication with the ability to influence across teams.
Ability to find creative solutions to complex problems.
Strong sense of urgency and ownership for task/project completion.
Highly collaborative, able to work across business and technical teams to achieve results.
Compensation Our Base Pay Range for this position is $127,400 - $212,300. The compensation package is determined by factors such as performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long‑term incentive opportunities, may be offered.
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. McKesson is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers including those 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 Disability_Accommodation@McKesson.com or Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.
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Languages
- English
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