Principal Data Engineer

Bayer•Seattle, WA

3d•$151,000 - $175,000•Hybrid

About The Position

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 Principal Data Engineer for Seattle, WA for digital agricultural solutions provider to 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. Requires Master’s in C.S., Computer or Software Engineering or closely-related technical field & 2 yrs experience designing & developing scalable & robust data architecture plans and/or systems for agronomic machine & geospatial data; creating cloud-native data pipelines to build data lakehouses using Apache Iceberg & Apache Spark; processing large scale datasets to enable batch processing & data analysis using ECS & RDS for PostgreSQL; performing root cause analysis & optimizing data transformations & algorithms by generating time & memory profiling reports; packaging & deploying 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 & ensure 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; developing data processing scripts, ETL processes, & automation tasks using Python programming; processing & extracting features from geospatial shapefiles using GeoPandas, Fiona & Shapely frameworks. Will also accept Bachelor’s in said fields & 5 years progressive post-Bachelor’s stated experience. Telecommuting permitted from home office location within reasonable commuting distance of Seattle, WA up to 2 days per week. Salary Range: Employees can expect to be paid a salary between $151,000.00 to $175,000.00. 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 Jill Martin, Bayer Research and Development Services LLC, 800 N. Lindbergh Blvd., E2NE, St. Louis, MO 63167 or email resume to [email protected]. Include reference code below with resume. YOUR APPLICATION Bayer 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. Bayer is an E-Verify Employer.

Requirements

Master’s in C.S., Computer or Software Engineering or closely-related technical field & 2 yrs experience designing & developing scalable & robust data architecture plans and/or systems for agronomic machine & geospatial data
creating cloud-native data pipelines to build data lakehouses using Apache Iceberg & Apache Spark
processing large scale datasets to enable batch processing & data analysis using ECS & RDS for PostgreSQL
performing root cause analysis & optimizing data transformations & algorithms by generating time & memory profiling reports
packaging & deploying 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 & ensure 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
developing data processing scripts, ETL processes, & automation tasks using Python programming
processing & extracting features from geospatial shapefiles using GeoPandas, Fiona & Shapely frameworks
Will also accept Bachelor’s in said fields & 5 years progressive post-Bachelor’s stated experience

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