Overview
On Site
USD 151,000.00 - 175,000.00 per year
Full Time
Skills
Energy
Art
Data Engineering
Data Science
Analytics
Software Engineering
Data Architecture
Cloud Computing
Apache HTTP Server
Apache Spark
Batch Processing
Amazon RDS
Remote Desktop Services
PostgreSQL
Root Cause Analysis
Algorithms
Docker
GitLab
Continuous Integration
Continuous Delivery
Data Analysis
Visualization
Collaboration
SQL
Query Optimization
Database
Data Processing
Scripting
Extract
Transform
Load
Python
Geospatial Analysis
Telecommuting
Expect
Health Care
Market Analysis
Research and Development
Marketing Operations
Science
Recruiting
Job Details
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 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. Location:United States : Washington : Seattle Division:Enabling Functions Reference Code:858550 Contact Us Email:
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 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. Location:United States : Washington : Seattle Division:Enabling Functions Reference Code:858550 Contact Us Email:
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.