RWD Data Engineer

When our values align, there's no limit to what we can achieve.
 
At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do.

Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference.

Parexel is hiring a remote based RWD Data Engineer.

If you are passionate about transforming complex healthcare data into meaningful, high-quality insights, join us as an RWD Data Engineer, where you’ll play a critical role in shaping how real-world data is ingested, standardized, and delivered across our organization.

In this role, you’ll work hands‑on with diverse data sources—from healthcare claims to EMR and registry databases—ensuring accuracy, consistency, and usability. You’ll collaborate closely with cross‑functional partners to gather requirements, design technical specifications, and build robust data pipelines that empower statistical programmers, analysts, and data scientists to do their best work.

What you will do:

- Support project teams in the design, development, and delivery of RWD solutions across multiple databases.

- Manage the inflow of diverse healthcare data sources and ensure data quality.

- Develop technical specifications and transform data into a common data model.

- Publish validated datasets for enterprise-wide use.

- Provide reports, presentations, and technical explanations to epidemiologists, analysts, and programmers.

- Communicate with data vendors and ensure accountability for data quality.

- Help ensure quality standards and evaluate new methodologies.

- Perform SQL querying, transformation, and quality control.

- Apply SAS, Python, and programming tools to support analytical workflows.

- Work with real-world healthcare datasets (Optum, PharMetrics, Flatiron, registry data).

- Support OMOP data model conversions.

- Leverage AI tools such as Databricks Genie and MS Copilot.

- Work independently or as part of a team.

Basic Qualifications:

- Bachelor’s degree in Data Engineering, Computer Science, Statistics, Mathematics, or related field.

- 1–2 years of SAS statistical programming experience.

- 5 years of Python programming experience.

- Experience with SQL querying and data transformation.

- Experience with real-world healthcare data (Optum, PharMetrics, Flatiron, Registry databases).

- Experience with OMOP specifications and conversions.

- Experience communicating with data vendors.

- Proficiency leveraging AI tools (Databricks Genie, MS Copilot).

- Ability to work independently and collaboratively.

- Self-starter with strong time management.

Preferred Qualifications:

- Master’s degree in a related field.

- Experience with Databricks (Spark SQL, Python, R).

- Experience with Spotfire or Power BI.

- Pharmaceutical industry experience.

EEO Disclaimer
Parexel is an equal opportunity employer.  Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.