Associate Data Engineer
About this opportunity
Career Category
Engineering
Job Description
ABOUT AMGEN
Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.
ABOUT THE ROLE
Role Description:
We are looking for an Associate Data Engineer in RunOps which needs 24X7 support with deep expertise in managing data pipelines to build scalable, high-performance data solutions. The ideal candidate will be responsible for maintaining complex data pipelines, integration frameworks, and metadata-driven architectures that enable seamless access and analytics. This role prefers deep understanding of the big data processing, distributed computing, data modeling, and governance frameworks to support self-service analytics, AI-driven insights, and enterprise-wide data management.
Roles & Responsibilities:
Data Engineer who owns maintenance of complex ETL/ELT data pipelines to process large-scale datasets
Candidate is ready to work 24X7 shifts
Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions
Ensuring data integrity, accuracy, and consistency through rigorous quality checks and monitoring
Exploring and implementing new tools and technologies to enhance ETL platform and performance of the pipelines
Proactively identify and implement opportunities to automate tasks and develop reusable frameworks
Eager to understand the biotech/pharma domains & build highly efficient data pipelines to migrate and deploy complex data across systems
Work in an Agile and Scaled Agile (SAFe) environment, collaborating with cross-functional teams, product owners, and Scrum Masters to deliver incremental value
Use JIRA, Confluence, and Agile DevOps tools to manage sprints, backlogs, and user stories.
Support continuous improvement, test automation, and DevOps practices in the data engineering lifecycle
Collaborate and communicate effectively with the product teams, with cross-functional teams to understand business requirements and translate them into technical solutions
Must-Have Skills:
Experience in Data Engineering with a focus on Databricks, AWS, Python, SQL, and Scaled Agile methodologies
Proficiency & Strong understanding of data processing and transformation of big data frameworks (Databricks, Apache Spark, Delta Lake, and distributed computing concepts)
Strong understanding of AWS services and can demonstrate the same
Ability to quickly learn, adapt and apply new technologies
Strong problem-solving and analytical skills
Excellent communication and teamwork skills
Experience with Scaled Agile Framework (SAFe), Agile delivery, and DevOps practices
Good-to-Have Skills:
Data Engineering experience in Biotechnology or pharma industry
Exposure to APIs, full stack development
Experienced with SQL/NOSQL database, vector database for large language models
Experienced with data modeling and performance tuning for both OLAP and OLTP databases
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 Dev Ops
Education and Professional Certifications
Bachelor’s degree and 2 to 5 + years of Computer Science, IT or related field experience
OR
Master’s degree and 1 to 4 + years of Computer Science, IT or related field experience
AWS Certified Data Engineer preferred
Databricks Certificate preferred
Scaled Agile SAFe certification preferred
Soft Skills:
Excellent analytical and troubleshooting skills.
Strong verbal and written communication skills
Ability to work effectively with global, virtual teams
High degree of initiative and self-motivation.
Ability to manage multiple priorities successfully.
Team-oriented, with a focus on achieving team goals.
Ability to learn quickly, be organized and detail oriented.
Strong presentation and public speaking skills.
EQUAL OPPORTUNITY STATEMENT
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
.
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 38 comparable Associate Data & Digital roles across 16 biopharma companies.
Salary context
13 of 38 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 38 comparable roles
+ 1 more countries
Seniority mix
38 of 38 peers have a known seniority level
Therapeutic area mix
0 of 38 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
No peers with a known therapeutic area yet.
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.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
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.