Senior Data Engineer at Amyris

At Amyris, we have built an industry-leading platform dedicated to the design and construction of synthetic organisms. Our innovative technology powers the creation of clean beauty products, bio-based renewable chemicals, and essential vaccine ingredients. Our Data Engineering team plays a critical role in this mission by supporting a suite of custom applications and utilizing state of the art technologies that make our scientific breakthroughs possible. We are looking for a Senior Data Engineer to join us in a hybrid capacity within the United States to help shape the future of our data framework.

Key outcomes

• Oversee and engineer our existing Postgres and MSSQL database environments.
• Serve as the primary technical contact for our manufacturing department, gathering requirements to launch and manage projects across multiple cloud providers, including GCP.
• Execute projects independently, ranging from executive-level ad hoc analysis to the integration of complex data into our reporting systems.
• Establish robust protocols for monitoring, auditing, and alerting to ensure system integrity and rapid issue resolution.
• Maintain comprehensive documentation for data metrics, business rules, and API architectures to support our team and executive stakeholders.
• Mentor junior team members to facilitate their technical onboarding and long-term professional growth.
• Develop and execute strategies for proof-of-concept initiatives and the onboarding of new products into our data framework.
• Collaborate with leadership and stakeholders to define and implement a comprehensive API strategy.

Requirements

• A Bachelor’s degree in Computer Science, Information Technology, or a related field with at least 5 years of relevant experience, or a Master’s degree with 3 years of experience, or a PhD with 1 year of experience.
• Proven expertise as a data engineer working within both on-premises and cloud environments, with a specific focus on GCP.
• Strong proficiency in SQL and NoSQL database architectures.
• Hands-on experience implementing large-scale ETL and ELT data transformation best practices.
• Demonstrated ability to design data lake and data warehouse architectures using modern cloud solutions.
• Experience with API creation and management, particularly within the GCP ecosystem.
• Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders.
• A track record of managing multiple concurrent projects and building strong relationships across cross-functional teams.
• Fluency in English.

Preferred qualifications

• Professional certifications relevant to data engineering.
• Proficiency in Python and Java.
• Experience working with AWS, Azure, or other cloud service providers.

Compensation

The annual salary range for this position is $141,000 to $207,000. We determine final offers based on internal equity, market analysis, and the candidate's specific experience and location. Our benefits package includes hybrid work arrangements, medical insurance, and paid time off.

How to apply

If you are passionate about applying data technology to cutting-edge science and would like to help us advance our data framework, we invite you to submit your application for consideration. We look forward to reviewing your background and discussing how your skills align with our team's goals.