Principal Data Engineer

Boston, MA, US • Posted 1 day ago • Updated 1 hour ago
Full Time
On-site
$180000 - $200000/yr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Recruiting
  • Pharmaceutics
  • Health Care
  • Data Engineering
  • ELT
  • Data Modeling
  • Relational Databases
  • MongoDB
  • Elasticsearch
  • Apache Airflow
  • Workflow
  • Orchestration
  • Docker
  • Terraform
  • Kubernetes
  • Data Processing
  • Cloud Computing
  • Software Engineering
  • Snow Flake Schema
  • Generative Artificial Intelligence (AI)
  • Data Security
  • Life Sciences
  • Pharmaceuticals
  • Medical Devices
  • Extract
  • Transform
  • Load
  • Optimization
  • Data Architecture
  • Modeling
  • IaaS
  • DevOps
  • Distributed Computing
  • Apache Spark
  • Artificial Intelligence
  • IT Management
  • Collaboration
  • Health Insurance
  • SAP BASIS

Summary

Job Description
We're hiring a Principal Data Engineer to join a fast-growing, mission-driven healthcare technology company transforming how life sciences organizations access and leverage regulatory data. This is a full-time, hybrid opportunity based in Boston, where you'll play a critical role in building the data infrastructure behind a platform that helps pharmaceutical and medical device companies make smarter, faster decisions.

This is a high-impact opportunity for a senior data engineer who thrives in fast-paced environments and enjoys solving complex data challenges at scale. You'll lead the design and evolution of robust, scalable data pipelines that power critical healthcare insights.

Hybrid in Back Bay 3 days per week.
Required Skills & Experience
  • 5+ years of professional experience in Data Engineering or a related field
  • Strong experience building scalable ETL/ELT pipelines
  • Expertise in data modeling and schema design
  • Experience working with relational databases, document stores (MongoDB), and search platforms (Elasticsearch)
  • Hands-on experience with Apache Airflow for workflow orchestration
  • Proficiency with Infrastructure as Code tools such as Docker, Terraform, Terragrunt, Helm, and Kubernetes manifests
  • Experience with Apache Spark and distributed data processing
  • Experience developing on distributed cloud platforms
  • Strong commitment to software engineering best practices
Desired Skills & Experience
  • Experience with Snowflake
  • Familiarity with Generative AI technologies
  • Strong understanding of modern data security best practices, particularly in regulated environments
  • Domain expertise in Life Sciences, Pharmaceuticals, or Medical Devices
What You Will Be Doing
Tech Breakdown
  • 35% Data Pipeline Development & Optimization
  • 25% Data Architecture & Modeling
  • 20% Cloud Infrastructure & DevOps
  • 10% Distributed Computing & Spark
  • 10% AI/Advanced Data Solutions

Daily Responsibilities
  • 70% Hands-On Engineering
  • 10% Strategic Architecture & Technical Leadership
  • 20% Cross-Functional Collaboration
The Offer
  • Competitive base salary
  • Equity package

You will receive the following benefits:
  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Paid Time Off (PTO)
  • 401(k)
  • Flexible hybrid work environment

Applicants must be currently authorized to work in the U.S. on a full-time basis now and in the future.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10105282
  • Position Id: 874250
  • Posted 1 day ago
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