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Principal Data Engineer; Research, Manufacturing, Supply Chain - REMOTE

Remote / Online - Candidates ideally in
New Bedford, Bristol County, Massachusetts, 02740, USA
Listing for: Vertex Pharmaceuticals
Remote/Work from Home position
Listed on 2026-06-06
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager, Data Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Principal Data Engineer (Research, Manufacturing, Supply Chain) - REMOTE
*
* Job Description:

** We are seeking a dedicated Principal Data Engineer with a passion for pharmaceutical research, to lead and manage our critical Data Engineering team as they strategically enable scientists across Vertex with data. As part of the Data & Software Engineering (DSE) Team, you will be responsible for developing, curating, and maintaining data assets that enable our scientists to make timely, informed, and critical decisions..

You will work closely with data scientists, data engineers, and platform engineers to scale the Vertex Data Platform, which is Vertex’s cutting edge technology ecosystem for Data Engineering, Data Science, and Advanced Analytics. Using the VDP, you will help ensure that our scientists are equipped with information to drive their analysis, models, and investigations.
*
* Key Responsibilities:

** Data Engineering – Integrate & curate data from research systems & artifacts to support analytics, modelling, machine learning, and investigation. Collaborate closely with our research engagement teams to understand requirements, and translate them into data solutions

Data Engineering management - Manage, maintain, and improve the Vertex Data Platform solutions that support & enable Research scientists
*
* Qualifications:

** Minimum of 9 years of development experience using Snowflake, Databricks, Spark, Redshift, or equivalent data technologies

Minimum of 9 years of experience in pharmaceutical research, with an emphasis on data engineering, data science, data integrity, and data governance

Prior experience leading Data Engineering projects and teams Demonstrated ability to work independently and manage multiple projects that require collaboration across functional areas.

Skillful, collaborative team player able to develop rapport and credibility with stakeholders.

Demonstrated ability and willingness to teach, engage and support others as they learn new technologies and concepts.

Enthusiasm for and the ability to quickly learn new technologies and tackle difficult problems

Strong presentation, verbal, and written communication skills Working knowledge of key workflow tools, including JIRA and Confluence The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements.

Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.

At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations.  From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much  this Remote-Eligible role, you can choose to be designated as:
1.

** Remote**: work remotely five days per week and come into the office on occasion – you’re always welcome on-site;
** or select
** 2.

** Hybrid**: work remotely up to two days per week;
** or select
** 3.

** On-Site**: work five days per week on-site with ad hoc flexibility.
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