Principal Data Engineer

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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’.

Principal Data Engineer

The responsibilities include:

• Architect, build and launch new data models that provide intuitive analytics to business users.
• Build and leverage state-of-the-art data access and alignment systems.
• Ensure the best possible data is utilized by the models used to help farmers understand the impacts of decisions on their farming operations.
• Rapidly prototype new data engineering solutions that support data science and analytics.
• Provide expert advice and education in the usage and interpretation of data systems.
• Creating cloud-native data pipelines to build data lake houses using Apache Iceberg and Apache Spark.
• Processing large scale datasets to enable batch processing and data analysis using ECS and RDS for Postgre
  
  SQL.
• Performing root cause analysis and optimizing data transformations and algorithms by generating time & memory profiling reports.
• Packaging and deploying data algorithms to production using Airflow, Docker and Gitlab CI/CD practices.
• Collaborating with cross‑functional teams, including product teams and data scientists, defining data requirements and ensuring alignment with business objectives.
• Enhancing petabyte‑scale data models in SQL using indexing and query optimization to support efficient data retrieval and processing in large‑scale databases.
• Developing data processing scripts, ETL processes, and automation tasks using Python.
• Processing and extracting features from geospatial shape files using Geo Pandas, Fiona and Shapely frameworks.

The qualifications include:

• A master’s degree in Computer Science, Computer or Software Engineering, or a closely‑related technical field.
• Two years of experience designing and developing scalable and robust data architecture plans and/or systems for agronomic machine and geospatial data.
• Experience creating cloud-native data pipelines to build data lake houses using Apache Iceberg and Apache Spark.
• Experience processing large scale datasets to enable batch processing and data analysis using ECS and RDS for Postgre
  
  SQL.
• Experience performing root cause analysis and optimizing data transformations and algorithms by generating time & memory profiling reports.
• Experience packaging and deploying data algorithms to production using Airflow, Docker, and Gitlab CI/CD practices.
• Strong collaboration skills with cross‑functional teams, including product teams and data scientists.
• Experience enhancing petabyte‑scale data models in SQL using indexing and query optimization.
• Experience developing data processing scripts, ETL processes, and automation tasks using Python.
• Experience processing and extracting features from geospatial shape files using Geo Pandas, Fiona and Shapely frameworks.
• Ability to work in an environment that supports telecommuting up to two days per week from a home office location within reasonable commuting distance of Seattle, WA.

Candidates also may qualify with a bachelor’s degree in a related field and 5 years of progressive post‑Bachelor’s experience.

Salary Range:
Employees can expect to be paid a salary between $ and $. Additional compensation may include a bonus or commission if relevant. Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.

To apply, mail resume to Jill Martin, Bayer Research and Development Services LLC, 800 N. Lindbergh Blvd., E2NE, St. Louis, MO 63167, or email resume to  Include reference code 858550 with your resume.

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 accommodations using the contact information below. Bayer is an E-Verify Employer.

Location:

United States :
Washington :
Seattle.

Reference Code: 858550.

Seniority level:
Mid‑Senior level.

Employment type:

Full‑time.

Job function:
Information Technology.

Industries:
Chemical Manufacturing, Pharmaceutical Manufacturing, and Biotechnology Research.

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