Sr. Associate Software Engineer
About this opportunity
Career Category
Engineering
Job Description
What you will do
Let’s do this. Let’s change the world.
In this vital role as Data Engineer at Amgen, you will play a key role in designing, building, and maintaining scalable data solutions that enable trusted insights and support critical business decisions.
This position is focused on supporting the OUS Field Engagement Team, working closely with stakeholders across the JAPAC and ELMAC regions. You will collaborate with global and regional teams to deliver data solutions that support field operations, customer engagement, and analytics use cases in a complex, multi-region environment.
You will work in an Agile (SAFe) environment, contribute to supporting enterprise data initiatives primarily built on Informatica ETL, including the future migration from Informatica to Databricks.
Key Responsibilities
Design, develop, maintain, and optimize ETL pipelines using Informatica, ensuring high data quality, performance, and reliability
Support and contribute to the future transition of Informatica workloads to Databricks (Spark, Delta Lake)
Build and enhance data pipelines for ingestion, transformation, and processing of large-scale datasets supporting OUS Field Engagement use cases
Collaborate with Data Architects, Business SMEs, Product Owners, and Senior Data Engineers across JAPAC and ELMAC regions to deliver end-to-end data solutions
Participate actively in a SAFe/Agile team, contributing to PI planning, sprint execution, and continuous improvement
Support data governance, metadata management, and data quality initiatives
Identify, troubleshoot, and resolve complex data issues across systems
Apply best practices for coding, testing, documentation, and reusable component design
Translate business and technical requirements into well-structured development tasks
Execute unit and integration testing to ensure solution robustness and compliance with quality standards
Monitor data pipelines and applications, supporting ongoing maintenance and performance optimization
Contribute to CI/CD and DevOps practices for data engineering solutions
Mentor junior team members and promote data engineering best practices
What we expect of you
We are all different, yet we all use our unique contributions to serve patients.
Basic Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Engineering, IT, or a related field
4–7 years of relevant data engineering experience, with strong hands-on ETL background
Preferred Qualifications
Strong experience with Informatica (PowerCenter, IICS)
Exposure to Databricks, Apache Spark, PySpark, or Spark SQL
Familiarity with SAFe or Agile delivery models
Experience or exposure to Master Data Management (MDM)
Experience with Veeva systems (nice to have)
Experience supporting Field Engagement or Commercial data domains (preferred)
Must-Have Skills
Advanced ETL development experience, particularly with Informatica
Strong SQL skills for data extraction, transformation, and analysis
Solid understanding of data modeling and entity relationships
Working knowledge of Python and/or PySpark
Experience supporting production data pipelines and resolving data issues
Ability to work effectively in global, cross-regional teams
Soft Skills
Strong problem-solving and analytical mindset
Excellent communication and collaboration skills, including with global stakeholders across regions
Proven team player with experience in Agile/SAFe environments
High attention to detail and commitment to data quality
Ability to manage priorities and work in a fast-paced environment
Willingness to mentor junior engineers and share knowledge
Adaptable to evolving technologies and business needs
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Job details
How this role compares
Computed from every other active Information Technology role in our database, not just this employer's listings.
We currently track 393 comparable Senior Information Technology roles across 49 biopharma companies.
Salary context
61 of 393 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 393 comparable roles
+ 22 more countries
Seniority mix
393 of 393 peers have a known seniority level
Therapeutic area mix
1 of 393 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"
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.