Job Title: Senior Data Engineer (Residence Based, Residence Based, US)

Company Name: Bayer

Job Details: $97k-$145k/yrRemoteFull,Time

Job Url: https://hiring.cafe/viewjob/mvgv8filitjp3qrf

Job Description: Posted 5d agoSenior Data Engineer (Residence Based, Residence Based, US)@ BayerView All JobsWebsiteUnited States$97k-$145k/yrRemoteFull TimeResponsibilities:Implement flows, Document mappings, Re-engineer flowsRequirements Summary:Proficiency in Python or Java; experience with Hadoop, Spark, Kafka; ETL; SQL/NoSQL; data warehousing; cloud platforms; data modeling; scalable data pipelines; REST APIs.Technical Tools Mentioned:Python, Java, Hadoop, Spark, Kafka, ETL, SQL, NoSQL, Data Warehousing, Cloud Platforms, RESTful APIs
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.


 
 


YOUR APPLICATION
 


 
 







Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Health for all, Hunger for none, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer. 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. 

 


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Bayer is an E-Verify Employer.
 


 
 


 
 


 
 


Location:
United States : Residence Based : Residence Based   
 


Division:
Enabling Functions  
 


Reference Code:
862266 
 
 






 


 


Contact Us


 
 


Email:
hrop_usa@bayer.com