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.

Sr Staff Data Engineer

YOUR TASKS AND RESPONSIBILITIES

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, Java, 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 projects effectively, provide details and influence on the right level of audience, senior leadership, business partners, data scientists, engineering teams etc.;
• Create and maintain design and code documentation in GitHub, SharePoint and/or other repositories used by the team.

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:

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

• 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:

• 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.;

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

Employees can expect to be paid a salary of approximately between $125,200 and $187,800. Additional compensation may include a bonus or commission (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.. This salary range is merely an estimate and may vary 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.