Sr. Data Engineer

Description

We are seeking an experienced and highly skilled Sr Data Engineer to join us. This role requires a seasoned professional with a deep understanding of automated data pipelines, cloud infrastructure, databases, and workflow engines. The ideal candidate will have a minimum of 5 years of technical lead experience in the medical device field and at least 7 years of experience in data engineering. Proficiency in Python and a proven track record of leading projects to completion are essential.

PRIMARY DUTIES

• Design, develop, and manage robust, secure, scalable, highly available, and dynamic solutions to drive business objectives.
• Lead the architecture and implementation of advanced cloud-based data engineering solutions, leveraging AWS technologies and best practices.
• Manage and optimize data pipelines, ensuring timely and accurate data availability for analytics and machine learning applications.
• Oversee the administration and performance tuning of databases and workflow engines.
• Collaborate with cross-functional teams (e.g., product management, IT, software engineering) to define data requirements, integrate systems, and implement data governance and security policies.
• Mentor junior data engineers and oversee the team's development efforts, promoting best practices in coding, architecture, and data management.
• Stay abreast of emerging technologies and trends in data engineering, cloud services, and the medical device industry to drive innovation and competitive advantage.

KNOWLEDGE, EXPERIENCE & SKILLS

• Degree in Computer Science, Engineering, Information Systems, or a related field.
• Requiring a minimum of Bachelor's degree +7yrs of experience or a Master's degree +5yrs of experience.
• Minimum of 7 years of experience in data engineering, with expertise in developing and managing automated data pipelines, AWS cloud infrastructure, databases, and workflow engines. Certifications in AWS and data engineering preferred.
• Experience with machine learning algorithms and data modeling techniques.
• At least 5 years of experience in the medical device IVD industry, with a strong understanding of FDA regulatory standards and compliance requirements.
• Expert proficiency in Python programming and software engineering principles.
• Demonstrated experience with AWS services (e.g., EC2, RDS, S3, Lambda, Glue, Redshift, Athena, EMR) and data pipeline tools (e.g., Apache Airflow, Luigi, etc).
• Strong knowledge of database management (Postgres and Snowflake), SQL, and NoSQL databases.
• Adept at queries, report writing and presenting findings
• Experienced in developing and maintaining ETL pipelines in a cloud environment
• Experienced in Unit Testing preferred
• Strong analytical skills with the ability to organize, analyze, and disseminate information with attention to detail and accuracy
• Excellent communication and task management skills.
• Comfort working in a dynamic, fast-paced, research-oriented group with several ongoing concurrent projects
• Full fluency (verbal and written) of the English language is a must.

The estimated salary range for this role based in California is between $148,700 and $178,400 annually. This role is eligible to receive a variable annual bonus based on company, team, and individual performance per bioMerieux's bonus program. This range may differ from ranges offered for similar positions elsewhere in the country given differences in cost of living. Actual compensation within this range is determined based on the successful candidate's experience and will be presented in writing at the time of the offer.

In addition, bioMerieux offers a competitive Total Rewards package that may include:

• A choice of medical (including prescription), dental, and vision plans providing nationwide coverage and telemedicine options
• Company-Provided Life and Accidental Death Insurance
• Short and Long-Term Disability Insurance
• Retirement Plan including a generous non-discretionary employer contribution and employer match.
• Adoption Assistance
• Wellness Programs
• Employee Assistance Program
• Commuter Benefits
• Various voluntary benefit offerings
• Discount programs
• Parental leaves