Senior Data Engineer - Remote Position
About the Role
We are looking for a Senior Data Engineer - Remote to join our innovative team at Veracyte. In this role, you will be pivotal in designing and implementing data pipelines and infrastructure that support our data-driven initiatives in the biotech sector. Your expertise will help us leverage data to improve healthcare outcomes and drive advancements in genomics and machine learning.
What You'll Do
- Design, develop, and maintain robust data pipelines to ensure high-quality data availability for analytics and reporting.
- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
- Implement data security measures and ensure compliance with data governance policies.
- Utilize AWS, Snowflake, Python, and SQL to build and optimize data architectures.
- Participate in Agile/Scrum methodologies to deliver projects on time and within scope.
Requirements
- 5+ years of experience as a Data Engineer or in a similar role.
- Strong proficiency in Python, Java, or Scala, with a solid understanding of ETL processes.
- Experience with cloud platforms, particularly AWS, and big data technologies.
- Knowledge of data architecture and data modeling best practices.
- Ability to work collaboratively in a team-oriented environment and communicate effectively with stakeholders.
Nice to Have
- Experience in the healthcare or biotech industry.
- Familiarity with machine learning concepts and tools.
- Knowledge of data security and compliance standards.
What We Offer
- Competitive salary ranging from $140,000 to $180,000 per year.
- Comprehensive health benefits and wellness programs.
- Flexible remote work environment with a focus on work-life balance.
- Opportunities for professional development and continuous learning.
- Collaborative and inclusive company culture that values innovation.
This Senior Data Engineer role at Veracyte offers a competitive salary and the chance to work on impactful data projects in the biotech industry.
Who Will Succeed Here
Proficient in building ETL pipelines using Python and AWS services like Lambda and Glue, with a strong understanding of data architecture principles specific to the biotech industry.
Self-motivated and disciplined, thriving in a fully remote work environment by effectively managing time and priorities, ensuring high productivity without direct supervision.
Deep understanding of data security best practices, particularly within healthcare data compliance frameworks such as HIPAA, paired with a mindset focused on continuous improvement and innovation.
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