Sr. Data Engineer

Bayer Inc.•Chesterfield, MO

36d•$142,000 - $155,000•Hybrid

About The Position

Sr. Data Engineer for Chesterfield, MO to design data repositories to enable crop protection research; automate extraction, transport transformation & preprocessing of data; facilitate code reviews, retrospectives & functional and integration testing to improve delivery quality; plan & align roadmaps, delivery dates, and integration efforts; train & mentor junior engineers. Requires Master's in Operations Research, Computer Science or closely-related field & 5 yrs experience performing data warehousing and data modeling for SQL and NoSQL databases; architecting scalable data solutions to optimize storage, retrieval & processing for cloud-based data warehousing and real-time analytics; writing code in Python, Java, and/or SQL; automating workflows & pipelines using Airflow; implementing Infrastructure as Code practices; using cloud-based platforms, including AWS, GCP, S3, Redshift, and/or BigQuery to store, process & analyze large-scale datasets to generate business insights; managing production cloud systems, including diagnosing & resolving performance bottlenecks, system failures, and data processing errors; using Git, Agile, and/or DevOps to optimize datasets for business analytics; building ETL pipelines for big data to support advanced analytics & machine learning applications; and using MLOps to deploy & monitor production-grade machine learning models, ensuring automated workflows, performance tracking, and scalable infrastructure. Telecommuting permitted from home office location within reasonable commuting distance of Chesterfield, MO up to 2 days per week. Salary Range: Employees can expect to be paid a salary between $142,000.00 to $155,000.00. 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 Cascinda Fischbeck, Bayer Research & Development Services LLC, 800 N. Lindbergh Blvd., E2NE, St. Louis, MO 63167 or email resume to [email protected]. Include reference code below with resume.

Requirements

Master's in Operations Research, Computer Science or closely-related field
5 yrs experience performing data warehousing and data modeling for SQL and NoSQL databases
architecting scalable data solutions to optimize storage, retrieval & processing for cloud-based data warehousing and real-time analytics
writing code in Python, Java, and/or SQL
automating workflows & pipelines using Airflow
implementing Infrastructure as Code practices
using cloud-based platforms, including AWS, GCP, S3, Redshift, and/or BigQuery to store, process & analyze large-scale datasets to generate business insights
managing production cloud systems, including diagnosing & resolving performance bottlenecks, system failures, and data processing errors
using Git, Agile, and/or DevOps to optimize datasets for business analytics
building ETL pipelines for big data to support advanced analytics & machine learning applications
using MLOps to deploy & monitor production-grade machine learning models, ensuring automated workflows, performance tracking, and scalable infrastructure

Responsibilities

design data repositories to enable crop protection research
automate extraction, transport transformation & preprocessing of data
facilitate code reviews, retrospectives & functional and integration testing to improve delivery quality
plan & align roadmaps, delivery dates, and integration efforts
train & mentor junior engineers