Mgr Data Engineering
About this opportunity
Career Category
Information Systems
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
We are seeking a seasoned Senior Data Engineer to drive 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 Senior Data Engineer, you will play a crucial role in designing, building, and optimizing our data pipelines and platforms while mentoring junior engineers.
Roles & Responsibilities:
Contribute to the design, development, and implementation of automations to monitor our data and cloud platforms for reliability, cost, and maintenance.
Take ownership of platform management, managing scope, timelines, and risks.
Ensure data quality and integrity through rigorous testing and monitoring.
Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions.
Work closely with data analysts, data scientists, and business stakeholders to understand data requirements.
Identify and resolve complex data-related challenges.
Adhere to data engineering best practices and standards.
Stay up-to-date with the latest data technologies and trends.
Execute POCs on new technologies to advance the capabilities and deliveries in our data strategy.
Basic Qualifications
Doctorate degree / Master's degree / Bachelor's degree and 8 to 13 years [in Computer Science
Functional Skills:
Must-Have Skills:
Demonstrated hands-on experience with cloud platforms (AWS, Azure, GCP) and the ability to architect cost-effective and scalable data solutions.
Proficiency in Python, PySpark, SQL. Hands-on experience with big data ETL performance tuning.
Strong analytical and problem-solving skills to address complex data challenges.
Manage and administered cloud-based environments such as (AWS, Azure, GCP) and data platforms (Databricks, Snowflake)
Experiencing working with troubleshooting cloud environment issues (networking, virtual machines)
Effective communication and interpersonal skills to collaborate with cross-functional teams.
Good-to-Have Skills:
Experienced with data modeling and performance tuning for both OLAP and OLTP databases
Experience with administering lifecycle and platform management policies on usage of cloud resources
Experienced working with Apache Spark, Apache Airflow
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
Experienced with AWS, GCP or Azure cloud services
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.
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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 292 comparable Data & Digital roles across 41 biopharma companies.
Salary context
60 of 292 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 292 comparable roles
+ 14 more countries
Seniority mix
158 of 292 peers have a known seniority level
Therapeutic area mix
6 of 292 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.
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.