Job Description

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 Data Engineer

Responsibilities

• Architect, build & launch new data models that provide intuitive analytics to business users.
• Build & leverage state‑of‑the‑art data access & 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 & analytics.
• Provide expert advice & education in the usage & interpretation of data systems.
• Design and develop scalable & robust data architecture plans and/or systems for agronomic machine & geospatial data.
• Create cloud‑native data pipelines to build data lakehouses using Apache Iceberg & Apache Spark.
• Process large‑scale datasets to enable batch processing & data analysis using ECS & RDS for PostgreSQL.
• Perform root cause analysis & optimize data transformations & algorithms by generating time & memory profiling reports.
• Package & deploy data algorithms to production using Airflow, Docker and Gitlab CI/CD practices to support geospatial data analytics & visualization.
• Collaborate with cross‑functional teams, including product teams & data scientists, defining data requirements & ensuring alignment with business objectives.
• Enhance petabyte‑scale data models in SQL using indexing & query optimization to support efficient data retrieval & processing in large‑scale databases.
• Develop data processing scripts, ETL processes, & automation tasks using Python programming.
• Process & extract features from geospatial shapefiles using GeoPandas, Fiona & Shapely frameworks.

Qualifications

• Master’s in Computer Science, Computer or Software Engineering or closely related technical field.
• Minimum 2 years experience designing & developing scalable & robust data architecture plans and/or systems for agronomic machine & geospatial data.
• Will also accept a Bachelor’s in said fields with 5 years progressive post‑Bachelor’s experience.
• Experience creating cloud‑native data pipelines using Apache Iceberg & Apache Spark; processing large‑scale datasets for batch processing & data analysis using ECS & RDS for PostgreSQL.
• Proficiency in performing root cause analysis & optimizing data transformations & algorithms with time & memory profiling reports.
• Proficiency in packaging & deploying data algorithms to production using Airflow, Docker and Gitlab CI/CD practices to support geospatial data analytics & visualization.
• Experience collaborating with product teams & data scientists and defining data requirements.
• Experience enhancing petabyte‑scale data models in SQL using indexing & query optimization.
• Strong background in developing data processing scripts, ETL processes, & automation tasks using Python.
• Experience processing & extracting features from geospatial shapefiles using GeoPandas, Fiona & Shapely frameworks.

Benefits & Compensation

• Salary Range: $151,000.00 to $175,000.00 (varies based on location, market data, skills, education, and other factors).
• Additional compensation may include a bonus or commission (if relevant).
• Benefits include health care, vision, dental, retirement, paid time off, sick leave, and more.

Location and Reference

Location: United States – Washington – Seattle

Division: Enabling Functions

Reference Code: 858550

Contact & Application

Mail resume to Jill Martin, Bayer Research and Development Services LLC, 800 N. Lindbergh Blvd., E2NE, St. Louis, MO 63167 or email resume to careers_us@bayer.com. Include reference code 858550 with your resume.

EEO Statement

Bayer is an Equal Opportunity Employer/Disabled/Veteran. 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). Bayer is an E‑Verify Employer.

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