Job Description

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

As Bayer Crop Science's digital farming arm, we advance regenerative agriculture and technology breakthroughs using the latest agronomic science, data science, engineering, and real-world farming experience. With groundbreaking technologies like Climate FieldView and our ForGround regenerative agriculture platform, our team is a part of some of the most important advancements in ag .

The D FS Engineering Platform Services team is focused on creating competitive advantage for our customers through novel data infrastructure, metrics, insights and data services. We are a small but rapidly growing analysis and engineering team that builds and leverages state-of-the-art analytics systems. Our work informs decisions and direction for our business, while also impacting our products. We are looking for a Senior Data Engineer to not only build data pipelines to efficiently and reliably move data across systems, but also to build the next generation of data tools to enable us to take full advantage of this data. In this role, your work will broadly influence the company's products, data consumers and analysts . We are looking for a candidate with knowledge of data warehousing and experience with ETL tools.

• D esign and build a Data Warehouse from disparate sources . Build and maintain the core data model, ETL / ELT, core data metrics and data quality
• Rapidly prototype new analytics views and work directly with stakeholders across multiple functions (Science, Marketing, Sales, Risk, Finance, Product)
• Champion data warehousing best practices
• Build systems to answer business questions in a timely fashion and expand our product features
• Architect, build and launch new data models that provide intuitive analytics to business users
• Develop infrastructure to inform on key metrics, recommend changes and predict future results
• Work closely with other departments to gather new data and leverage existing data to make our products better for us and our users
• Build data expertise and own data quality for the pipelines you build
• Design and develop new systems and tools to enable folks to consume and understand data faster
• Provide expert advice and education in the usage and interpretation of data systems to the business users
  
  

Who You Are

Bayer seeks an incumbent who possesses the following :

Required Qualifications

• B.S. or B.A. in Computer Science/Applications or a related field
• 5+ years of SQL and dynamic or static programming languages experience as applied to ETL/ ELT using DBT
• 5+ years of experience using Google BigQuery , Vertica, or similar Data Warehouses for dimensional data modeling and schema design . Work directly with SQL to both profile data and generate analytics
• 5+ years of experience working in Python/Scala programming languages
• Demonstrated experience p erforming shell scripting in a Linux/Unix environment
• Develop infrastructure in AWS and GCP Cloud environment to inform on key metrics, recommend changes
• Experience with relational databases and N oSQL Databases
• Experience with Data Orchestration Framework like Airflow, Cloud Composer
• Experience in developing dashboards in Looker and/or Tableau
• Applicant must be willing to provide 24x7 on call support one week per month
  
  

Preferred Qualifications

• Experience working in cloud deployments such as AWS and GCP is a plus
• Experience working on distributed processing frameworks like Spark, Flink
• Familiarity with lakehouse architecture using Apache Iceberg
• Familiarity with messaging services like SQS, SNS, PubSub
• Experience w orking with Terraform to manage infrastructure in AWS and GCP
• Excellent communication skills including the ability to identify and communicate data driven insights
  
  

What We Offer

Base salary estimated range between [ $134,488 – $191,732 ] annually, depending on the hiring location. You may also be offered bonuses, RSUs cash equivalent, or commission.

• Comprehensive health benefits including medical, dental, vision, life, and disability, as well as a Life Solutions Plan covering mental health benefits
• Industry leading 401K match of up to 10%
• Discounted access to Employee Share Purchase Plan program
• Professional growth opportunities including up to $10,000 college tuition reimbursement, access to upskilling platform, leadership training, mentoring and coaching programs, and short-term assignments (domestic and international)
  
  

YOUR APPLICATION

At Bayer, we strive to build inclusive experiences for candidates and employees alike in which a diverse set of perspectives and voices are represented. If this role sounds exciting to you but your experience doesn’t perfectly align with the job description, we still encourage you to apply.

This posting will be available for application until at least D ecember 1 9 th

We’re proud to be an equal opportunity employer. This means we actively pursue ways to celebrate our differences and don’t discriminate based on race, religion, color, national origin, ethnicity, gender, sex (including pregnancy), protected veteran status, age, disability, sexual orientation, gender identity, gender expression, or any unlawful criterion existing under applicable federal, state, or local laws.

If you need assistance or an accommodation due to a disability, contact us at DFS_accomodations@bayer.com .

Learn more about our team and mission:

To view all current Bayer openings, please visit:

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Job Tags

Full time, Temporary work, Local area,

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