YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role, Sr 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 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 teams 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;
• Be present on various technical topics to internal and external audiences, for example at national and international technical conferences;
• Be able to 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;
• Effectively discuss 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 other repositories used by the team;
• Able to drive long term technical strategy across organization and business;
• Be able to deliver guidance that leads to industry leading solutions to domain problems.

WHO YOU ARE

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 10 years professional software engineering experience or Master's with seven years of relevant experience or PhD with five years ofrelevant experience or 14 of relevant experience is an acceptable substitute for degree requirement;
• Professional software engineering experience including:Six years' experience engineering data intensive software using streaming and resource based design principles, four years' experience in least one NoSQL database, such as (but not limited to) Neo4j, Cassandra, etc.six years 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:

• 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;
• Owns highly complex long term strategic deliverables;
• Makes decisions on technical direction in partnership with other technical and strategic leaders in the business.

Employees can expect to be paid a salary of approximately $130,000 (or between $115,000to $165,000). Additional compensation may include a bonus or commission (if relevant). Other benefits include health care, vision, dental, retirement, PTO, sick leave, etc.. If selected for this role, the offer may vary based on market data/ranges, an applicant's skills and prior relevant experience, certain degrees and certifications, and other relevant factors.

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