Staff Data Engineer
About The Position
Staff Data Engineer for Chesterfield, MO to lead design & implementation of data processing, storage and delivery solutions; define strategies & engineering guidelines for major data platforms; identify data solutions to meet business capability needs & processes; participate in code reviews, testing & retrospectives; create & maintain design and code documentation; develop project estimates; ensure data security; collaborate with cross-functional teams to design & plan data engineering solutions, architecture and strategy; ensure internal standards are met & drive adoption of best practices; identify & evaluate new technologies and practices for company use; coach, mentor & train junior employees; lead conversations with product management stakeholders. Requires Master’s in C.S., Information Technology, Management Information Systems, Computer or Software Engineering or closely-related field & 1 yr experience in IT-related position(s): engineering data-intensive software using streaming & resource-based design principles; working with NoSQL databases, including Google BigQuery; using object-oriented and/or functional programming languages, including Java, Python, Scala and/or Go; modeling & developing data architecture; designing logical & physical models for datasets; working with relational databases, including Postgres, MySQL and/or Oracle; modeling large datasets in distributed databases; working with Platform-as-a-Service software, including Cloud Foundry and/or Kubernetes; using Spark and/or Kafka for stream processing; applying machine learning methodologies to develop data solutions; using Cloud technologies, including AWS & Google Cloud Platform; and modeling orchestration using Apache AirFlow. 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 $148,000.00 to $165,000.00. 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 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.
Requirements
- Master’s in C.S., Information Technology, Management Information Systems, Computer or Software Engineering or closely-related field
- 1 yr experience in IT-related position(s): engineering data-intensive software using streaming & resource-based design principles
- working with NoSQL databases, including Google BigQuery
- using object-oriented and/or functional programming languages, including Java, Python, Scala and/or Go
- modeling & developing data architecture
- designing logical & physical models for datasets
- working with relational databases, including Postgres, MySQL and/or Oracle
- modeling large datasets in distributed databases
- working with Platform-as-a-Service software, including Cloud Foundry and/or Kubernetes
- using Spark and/or Kafka for stream processing
- applying machine learning methodologies to develop data solutions
- using Cloud technologies, including AWS & Google Cloud Platform
- modeling orchestration using Apache AirFlow
Responsibilities
- lead design & implementation of data processing, storage and delivery solutions
- define strategies & engineering guidelines for major data platforms
- identify data solutions to meet business capability needs & processes
- participate in code reviews, testing & retrospectives
- create & maintain design and code documentation
- develop project estimates
- ensure data security
- collaborate with cross-functional teams to design & plan data engineering solutions, architecture and strategy
- ensure internal standards are met & drive adoption of best practices
- identify & evaluate new technologies and practices for company use
- coach, mentor & train junior employees
- lead conversations with product management stakeholders
Benefits
- health care
- vision
- dental
- retirement
- PTO
- sick leave
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
