Principal Data Engineer
Motion Recruitment
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
Tech Breakdown
Applicants must be currently authorized to work in the U.S. on a full-time basis now and in the future. Specialization :
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
- 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
Tech Breakdown
- 35% Data Pipeline Development & Optimization
- 25% Data Architecture & Modeling
- 20% Cloud Infrastructure & DevOps
- 10% Distributed Computing & Spark
- 10% AI/Advanced Data Solutions
- 70% Hands-On Engineering
- 10% Strategic Architecture & Technical Leadership
- 20% Cross-Functional Collaboration
- Competitive base salary
- Equity package
- 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. Specialization :
- Data Engineering
Vacancy posted 2 days ago
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