[Hiring] Senior Staff Data Engineer @Bayer

Role Description

The Senior Staff Data Engineer is responsible for the design and implementation of numerous complex data flows to integrate operational systems, external and internal satellites and deliver data for analytics, AI, business intelligence (BI) systems and applications(s). Individuals in this role will:

• Design, build and maintain a scalable data infrastructure and implement integration pipelines for multiple systems upstream and downstream;
• Identify integration patterns and design architecture based on business requirements and platform capabilities which may include defining patterns for data streaming;
• Lead projects for data assets and mentor and coach engineers while collaborating with other teams and business for technical consult;
• Champion data engineering across platforms;
• Establish standards for platform(s) being used and share across teams and engineers.

This role will be Residence-Based in the US.

Qualifications

• Minimum of a Bachelor’s degree in Computer Science, Software Engineering, or related field, and significant professional software engineering experience. Additional professional experience will be suitable in lieu of a Bachelor’s degree;
• Professional data engineering experience to include:
• Experience working with Relational Database technologies, such as BigQuery, Oracle, Teradata, Postgres and/or Redshift;
• Demonstrated expertise engineering data intensive solutions using streaming and resource based design principles;
• Hands on experience using programming languages such as Python, Java and/or Golang;
• Relevant certifications as applicable;
• Demonstrated experience with data architecture and modeling, including designing both logical and physical models;
• Strong organizational, interpersonal, written and oral communication skills and desire to work in a highly collaborative environment;
• Strong problem solving, analytical and proven project delivery skills;
• Ability to work collaboratively in a team environment;
• Focused on data accuracy, timely delivery and attention to detail;
• Ability to quickly learn upcoming technologies and familiarity with the relevant industry trends;
• Deep knowledge and demonstrated experience with Google BigQuery and Google Cloud Platform;
• Experience with version control and related tools Github, GitLab and IaC (like Terraform or others).

Requirements

• One of the following:
• Bachelor’s degree in Computer Science, Software Engineering, or related field, with 5+ years of related professional software engineering experience, OR
• Master's degree with 3 years of relevant experience, OR
• PhD with 1 year of relevant experience;
• 9+ years of relevant experience is an acceptable substitute for degree requirement.
• Professional data engineering experience to include:
• 5+ years of experience working with Relational Database technologies, such as BigQuery, Oracle, Teradata, Postgres and/or Redshift;
• 3+ years of experience engineering data intensive solutions using streaming and resource based design principles;
• 5+ years of experience using programming languages such as Python, Java and/or Golang.

Benefits

• Employees can expect to be paid a salary between $123,760 - $185,640.
• 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.

Company Description

Bayer is an Equal Opportunity Employer/Disabled/Veterans and is committed to providing access and reasonable accommodations in its application process for individuals with disabilities.