Principal, Data Engineering (Remote)
About this opportunity
If you are a current Jazz employee please apply via the Internal Career site
Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases, often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit www.jazzpharmaceuticals.com for more information.
Job Description
The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Jazz Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics.
Essential Functions
Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform.
Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools.
Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift.
Build and maintain standard data models.
Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines.
Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements.
Create and maintain documentation for data processes, architectures, and workflows.
Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI).
Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model.
Maintain compliance with data privacy regulations such as HIPAA, GDPR
May be required to develop, deliver or support data literacy training across R&D.
Required Knowledge, Skills and Abilities
Strong knowledge of data engineering tools such as Python, R and SQL for data processing.
Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda.
Strong proficiency with relational databases.
Strong background in data modeling and database design.
Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph).
Familiarity with Containerization such as Docker and EKS/Kubernetes.
Familiarity with one or more RnD research process and associated regulatory requirements.
Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM).
Exposure to big data technologies and handling.
Knowledge of machine learning operations (MLOps) and model deployment.
Strong problem-solving and analytical abilities.
Excellent communication skills for collaborating with stakeholders.
Experience working in an Agile development environment.
Required/Preferred Education
Bachelor’s Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master’s Degree preferred
3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data
Description of Physical Demands
Occasional mobility within office environment
Routinely sitting for extended periods of time
Constantly operating a computer, printer, telephone and other similar office machinery
Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law.
The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: https://careers.jazzpharma.com/benefits
Job details
How this role compares
Computed from every other active Data & Digital role in our database, not just this employer's listings.
We currently track 93 comparable Principal Data & Digital roles across 24 biopharma companies.
Salary context
23 of 93 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 93 comparable roles
+ 5 more countries
Seniority mix
93 of 93 peers have a known seniority level
Therapeutic area mix
2 of 93 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
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Get an email when we spot other openings like this one – same job function, comparable seniority, roles you'd actually want to see.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.