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Bayer Sr Staff Data Eng in Creve Coeur, Missouri

Bayer is a global enterprise with core competencies in the Life Science fields of health care and agriculture. Its products and services are designed to benefit people and improve their quality of life. At Bayer you have the opportunity to be part of a culture where we value the passion of our employees to innovate and give them the power to change.

Sr Staff Data Eng


The primary responsibilities of this role, Senior Staff Data Engineer, are to:

  • Lead and participate in design sessions with Enterprise and Hub Data Stewards, Engineering teams, Data Scientists, Product Managers, business and Information Technology (IT) stakeholders, that result in documentation for data processing, storage and delivery solutions;

  • Understand business capability needs and processes as they relate to IT solutions through partnering with Product Managers and business and functional IT stakeholders, and apply this knowledge to influence business goals;

  • Initiate and lead evaluation of new technologies, like Domino or Redshift, or new languages, like Go or React, including performing POCs and presenting results to others, with a goal of providing technical recommendations;

  • Help the team establish and improve processes and methodologies, like SCRUM or Kanban, and/or lead piloting new ones;

  • Implement data solutions according to design documentation using a variety of tools and programming languages, like Kafka, SQL and non-SQL databases, Scala, Go etc., and following team’s established processes and methodologies;

  • Facilitate and participate in code reviews, retrospectives, functional and integration testing and other team activities focused on improving quality of delivery;

  • Provide reliable estimates for large scale projects;

  • Lead collaboration with Business Partners, Product Owners, other engineers and data stewards within the team and across data, analytics and product teams on planning and aligning roadmaps, delivery dates and integration efforts;

  • Coach and mentor junior and aspiring Data Engineers on the team and across the data and engineering communities;

  • Present on various technical topics to internal and external audiences, for example at national and international technical conferences;

  • Facilitate various cross team and department efforts, like Scrum of Scrums and Release Planning, focused on large scale roadmap alignments, sharing information, solving broad variety of problems, or improving processes;

  • Discuss effectively work, provide details and influence the right level of audience, senior leadership, business partners, data scientists, engineering teams etc.;

  • Create and maintain design and code documentation in GitHub, Haystack, SharePoint and/or another repositories used by the team.


Your success will be driven by your demonstration of our LIFE values. More specifically related to this position, Bayer seeks an incumbent who possesses the following:

Required Qualifications:

  • Bachelor’s degree in Computer Science, Software Engineering, or related field, with at least 10 years of professional software engineering experience OR Master's degree with at least seven years of relevant experience OR Ph.D. with at least five years of relevant experience;

  • At least six years of experience in engineering data intensive software using streaming and resource based design principles;

  • At least four years of experience in least one NoSQL database, such as (but not limited to) Neo4j, Cassandra, etc.;

  • At least six years of fluency in an object oriented or functional language such as Java, Scala, Go, etc.;

  • Demonstrated experience leading data modeling and architecture design efforts, including designing both logical and physical models for datasets;

  • Proficiency in working with relational databases such as Postgres, MySQL, Oracle, etc.;

  • Proven experience modeling large datasets in distributed databases such as Apache Cassandra;

  • Proven experience providing reliable estimates for large scale projects;

  • Experience contributing to open source projects;

  • Strong interpersonal skills and desire to work in a highly collaborative environment;

  • Familiarity with the relevant industry trends.

Preferred Qualifications:

  • At least 14 years of relevant experience is an acceptable substitute for degree requirement;

  • Agriculture, life sciences, bioinformatics, biochemistry, genetics, biology, or a related disciplines;

  • Platform-as-a-Service software such as Cloud Foundry or Kubernetes Stream processing, e.g. Kafka, Spark Streaming, Akka, etc.;

  • Machine learning or other data science practices.


Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and you have the "Passion to Innovate" and the "Power to Change", we encourage you to apply now. 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.

Location: Creve Coeur || United States : Missouri : Creve Coeur || United States : New Jersey : Whippany

Division: Enabling Functions

Reference Code: 420409

Contact Us

Email: hrop_usa@bayer.com