Principal Biotech Data Engineer Job Details | Bayer AG

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where 'Health for all Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.Principal Biotech Data EngineerThe Principal Biotech Data Engineer for Berkeley, CA will develop data & analytics solutions to meet business requirements and drive analytics workflows, including machine learning, modeling, and simulation. Responsibilities include:Architecting, developing & optimizing data pipelines, workflows, and storage solutions.Ensuring quality, availability & integrity of code.Creating data-driven tools, templates, packages, visualizations & dashboards to improve model development and insights.Leading cross-functional teams in identifying & planning data engineering solutions to optimize data availability and insights.Identifying potential new technologies & practices for company use.Qualifications include a Master’s in C.S., Data Science, Computer Engineering, or a closely-related quantitative field & 3 years of experience modeling and developing data architecture for complex datasets in the healthcare and/or technology industries. Alternatively, a Bachelor’s in said fields & 5 years progressive, post-Bachelor’s stated experience will also be accepted. Skills required include:Using object-oriented and/or functional programming languages, including Java, Python, Scala, SQL and/or C++.Using data engineering tools, including Apache Airflow, Spark, Kafka, RedShift, SageMaker and/or Kubernetes, to build & orchestrate data pipelines and infrastructures.Designing data pipelines & cloud infrastructures in the AWS ecosystem using Lambda, Glue, S3, EC2 and/or Datastream.Integrating data sources into systems landscape & providing end-user solutions.Applying DevOps and/or ML Ops methodologies.Developing data warehouses, data lakes and/or semantic frameworks.Participating in and/or leading cross-functional project teams.Up to 5% U.S. and/or international travel is required. Telecommuting is permitted from home office location within reasonable commuting distance of Berkeley, CA up to 3 days per week. Salary Range: Employees can expect to be paid a salary between $188,885.00 to $194,285.75. Additional compensation may include a bonus or commission (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc. The offered salary may vary within this range based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.Mail resume to Alex Greenberg, Bayer U.S., LLC, 800 N. Lindbergh Blvd., St. Louis, MO 63167 or email resume to

careers_us@bayer.com . Include reference code below with resume.YOUR APPLICATIONBayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.To all recruitment agencies: Bayer does not accept unsolicited third-party resumes.Bayer is an Equal Opportunity Employer/Disabled/Veterans.Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.Bayer is an E-Verify Employer.Location:

United States : California : BerkeleyDivision:

Enabling FunctionsReference Code:

827103Contact UsEmail:

careers_us@bayer.com

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