Senior Data Engineer

Posted 22 Days Ago
7 Locations
5-7 Years Experience
Software
The Role
As a Senior Data Engineer, you'll design and maintain ETL pipelines for healthcare data, optimizing architecture, ensuring data quality, and implementing security measures. You will mentor junior engineers, troubleshoot data issues, and document processes while collaborating with various teams to meet data requirements.
Summary Generated by Built In

Overview

Verantos (https://verantos.com) is a leading provider of high-accuracy Real-World Evidence (RWE) generation services. Our RWE platform seamlessly integrates diverse real-world data sources and harnesses the precision required for regulatory and reimbursement purposes. Leveraging data science, artificial intelligence, and advanced data sources, such as Electronic Health Records (EHR), we create RWE capable of supporting intricate clinical studies. Some of the world's largest biopharma companies trust Verantos for their RWE needs.

Job Description

We are seeking a highly skilled Senior Data Engineer to join our growing team. In this role, you will be responsible for designing, implementing, and maintaining robust data pipelines that handle complex healthcare data. You will also play a crucial role in mentoring other engineers and driving best practices across the team. Your contributions will be instrumental in developing key applications used by healthcare and life sciences researchers to pioneer new therapies. You'll thrive in our dynamic, highly collaborative team environment.

Responsibilities

  • Design, develop, and maintain scalable ETL pipelines for healthcare data
  • Optimize data pipeline architecture to ensure efficiency, reliability, and data quality
  • Collaborate with cross-functional teams to understand data requirements and implement effective solutions
  • Implement data governance and security measures to ensure compliance with healthcare regulations
  • Provide technical leadership and mentorship
  • Continuously evaluate and implement new technologies and methodologies to improve our data infrastructure
  • Troubleshoot and resolve complex data issues in production environments
  • Develop and maintain comprehensive documentation for all data processes and systems

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • 5+ years of experience in data engineering, with a focus on ETL processes
  • Strong proficiency in Python and SQL
  • Demonstrable experience with Snowflake, DBT, and Airflow
  • Solid understanding of data modeling, data warehousing concepts, and best practices
  • Excellent problem-solving skills and attention to detail
  • Strong communication skills and ability to explain complex technical concepts to technical and non-technical stakeholders
  • Proven track record of mentorship and fostering a collaborative team environment
  • Collaborative, detail-oriented, and passionate about healthcare technology transformation
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies

Desirable attributes

  • Leadership experience in delivering complex software systems
  • Proficiency in scaling data operations
  • Background in healthcare data

Why Verantos?

At Verantos, we pioneer advanced Real-World Evidence (RWE) technology, revolutionizing healthcare insights. Advanced RWE unlocks a deeper understanding of patient characteristics and behaviors, impacting health outcomes. Join us at the forefront of technology, data, and healthcare research.

We Offer:

  • A competitive salary that aligns with your expertise and experience.
  • Flexible work locations to adapt to changing circumstances.
  • Comprehensive medical, dental, and vision benefits.
  • 401K plan with employer matching.
  • A healthy work-life balance.
  • Collaborate with healthcare technology visionaries.

Apply Now to Drive Healthcare Innovation!

Top Skills

Python
SQL
The Company
Menlo Park, CA
40 Employees
On-site Workplace
Year Founded: 2015

What We Do

Verantos is the market leader in high-validity real-world evidence across all therapeutic areas in life sciences. By incorporating robust clinical narrative data, artificial-intelligence technology, and measured validity, Verantos is the first company to generate research-grade evidence at scale. The Verantos RWE platform integrates heterogeneous real-world data sources and generates evidence with the accuracy necessary for market access, medical affairs, and regulatory use.

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