About this opportunity
Career Category
Information Systems
Job Description
Data Engineer
Role Name: Data Engineer
Department Name: AI & Data Science
Role Description:
Let’s do this. Let’s change the world. In this vital role you will be responsible for the development and implementation of our data strategy. The ideal candidate possesses a strong blend of technical expertise and data-driven problem-solving skills. As a Data Engineer, you will play a crucial role in building, and optimizing our data pipelines and platforms in a SAFE Agile product team. The Data Engineer will design, develop, and maintain data engineering applications and solutions that meet business needs and ensuring the availability and performance of critical systems and applications. This role involves working closely with product managers, designers, and other engineers to create high-quality, scalable data engineering solutions and automating operations, monitoring system health, and responding to incidents to minimize downtime. You’ll work as part of a collaborative team and learn from experienced engineers.
You will be part of a team specifically focusing on enterprise resource management capabilities. Amgen is using fully integrated and best-in-class technologies, having various enterprise platforms such as Databricks and Mulesoft ; enterprise collaboration platforms such as O365, SharePoint Online and MS Teams, as well as vertical-specific platforms in R&D, Operations, Process Development and Commercial/Marketing areas.
Roles & Responsibilities:
Design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions.
Deliver for data pipeline projects from development to deployment, managing, timelines, and risks.
Ensure data quality and integrity through meticulous testing and monitoring.
Leverage cloud platforms (AWS, Databricks) to build scalable and efficient data solutions.
Work closely with product team, and key collaborators to understand data requirements.
Enforce to data engineering industry standards and standards.
Experience developing in an Agile development environment, and comfortable with Agile terminology and ceremonies.
Familiarity with code versioning using GIT and code migration tools.
Familiarity with JIRA.
Stay up to date with the latest data technologies and trends
Basic Qualifications and Experience:
Bachelor’s degree in Computer Science , Information Technology, or a related field with 5-9 years of experience
Mastery with at least one programming language (Python, Scala, or similar)
Experience with data engineering platforms like Databricks
Experience with vibe coding using large language models for production systems
Broad interest in various Amgen preferred platforms/tools
Eagerness to learn and grow in a data engineering environment
Ability to work well within a team and communicate effectively
Functional Skills:
Must-Have Skills
Experienced with data modelling and structuring
Experienced working with ETL orchestration technologies
Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and DevOps
Familiarity with SQL/NOSQL database
Experience in Agile or Scrum methodologies
Experience with cloud-based platforms and system integration
Experience with version control systems like Git & Release management tools
Direct experience in working in global teams
Good-to-Have Skills:
Fluent in enterprise collaboration platforms such as O365, SharePoint Online and MS Teams
Exposure to incorporating AI tools in daily activities as well as proactively seeking opportunities to utilize and extend AI toolsets into development work
Experience in analytics or business intelligence roles
Certifications related to Databricks, Agile or any software or cloud platform are advantageous
Soft Skills:
Excellent analytical and troubleshooting skills
Comfortable to work effectively with global, virtual teams
High degree of initiative and self-motivation
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Job details
How this role compares
Computed from every other active Data & Digital role in our database, not just this employer's listings.
We currently track 251 comparable Data & Digital roles across 45 biopharma companies.
Salary context
72 of 251 peers report a salary range (USD, annualized)
Peers share this role's job function. This posting doesn't list a seniority level, so peers aren't narrowed by seniority either -- the range below may span more levels than usual.
Where these roles are based
Top locations among the 251 comparable roles
+ 16 more countries
Seniority mix
142 of 251 peers have a known seniority level
Therapeutic area mix
4 of 251 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
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How we calculate "similar"
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Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.