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.

Senior Data Engineer 

YOUR TASKS AND RESPONSIBILITIES

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

Delivers the designs set by more senior members of the data engineering community.  Individuals in this role will:

• Implement data flows to connect operational systems, data for analytics and business intelligence (BI) systems
• Document source-to-target mappings
• Re-engineer manual data flows to enable scaling and repeatable use
• Support the build of data streaming systems
• Write ETL (extract, transform, load) scripts and code to ensure the ETL process performs optimally
• Develop business intelligence reports that can be reused
• Build accessible data for analysis.

Communicating Between Technical and Non-Technical Colleagues

• Show an awareness of the need to translate technical concepts into non-technical language;
• Understand what communication is required with internal and external stakeholders.

Data Analysis and Synthesis

• Undertake data profiling and source system analysis;
• Present clear insights to colleagues to support the end use of the data.

Data Development Process

• Design, build and test data products based on feeds from multiple systems, using a range of different storage technologies, access methods or both;
• Create repeatable and reusable products.

Data Innovation

• Show an awareness of opportunities for innovation with new tools and uses of data;

Data Integration Design

• Deliver data solutions and integration pipelines in accordance with agreed organizational standards that ensure services are resilient, scalable and future-proof;

Data Modeling

• Explain the concepts and principles of data modeling;
• Produce, maintain and update relevant data models for an organization's specific needs;
• Reverse-engineer data models from a live system.

Metadata Management

• Work with metadata repositories to complete complex tasks such as data and systems integration impact analysis;
• Maintain a repository to ensure information remains accurate and up to date.

Problem Resolution

• Explain the types of problems in databases, data processes, data products and services;

Programming and Build

• Design, code, test, correct and document simple programs or scripts under the direction of others;

Technical Understanding

• Understand the core technical concepts related to the role, and apply them with guidance;

Testing

• Correctly execute test scripts under supervision;
• Understand the role of testing and how it works.

WHO YOU ARE

Bayer seeks an incumbent who possesses the following:

Required Qualifications:

• Proficiency in programming language such as Python or Java;
• Experience with Big Data technologies such as Hadoop, Spark, and Kafka;
• Familiarity with ETL processes and tools;
• Knowledge of SQL and NoSQL databases;
• Strong understanding of relational databases;
• Experience with data warehousing solutions;
• Proficiency with cloud platforms;;
• Expertise in data modeling and design;
• Experience in designing and building scalable data pipelines;
• Experience with RESTful APIs and data integration.

Preferred Qualifications:

• Relevant certifications (e.g., GCP Certified, AWS Certified, Azure Certified);
• Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related field;

• Strong analytical and communication skills;
• Ability to work collaboratively in a team environment;
• High level of accuracy and attention to detail.

There are multiple openings for this position.

Employees can expect to be paid a salary between $96,800 to $145,200.  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.

This posting will be available for application until at least 3/3/2026.