Principal Data Engineer

and forecasting technology capabilities, Pharmacy and Medical - Payer and Provider Contracting and ASP Module, to increase revenue opportunities in the US market and beyond for Amgen's products. This is a cross-functional team that in collaboration with other GCO DTI teams will develop and mature new digital product capabilities as part of the highly visible Gross-to-Net Transformation initiative.

As a Principal Data Engineer at Amgen, you will lead the design, development, and management of data infrastructure and solutions. You will collaborate with cross-functional teams to analyze data requirements, design data pipelines, and implement data integration processes. Your expertise in data engineering, big data technologies, and data management will contribute to the effective storage, processing, and utilization of large-scale data sets.

Responsibilities

Data Infrastructure Development:

• Lead the architecture, design, prototype, build, testing, implementation and DevOps of Coverage & Pricing's Deal Modeling, Forecasting and Analytics Products on GCO's AWS Data Lake, Databricks, and Anaplan and Tableau platforms.

• As a Principal DTI Data Engineer at Amgen, you will provide strategic leadership in designing and implementing Anaplan system architecture to support business objectives.

• Architect, design, and implement scalable and efficient data pipelines and systems.

• Develop and maintain data warehousing solutions to support analytics and reporting.

• Ensure data infrastructure is robust, secure, and optimized for performance.

Technical Leadership:

• Provide technical guidance and mentorship to junior data engineers.

• Lead architectural reviews and ensure adherence to best practices in data engineering.

• Collaborate with product owner, data scientists, analysts, and business stakeholders to understand data needs and deliver solutions.

• Play an analytical role in quickly and thoroughly analyzing business requirements and subsequently translating the emanating results into good technical data designs. In this capacity, the Data Engineer establishes the documentation of the data solutions, develops, and maintains design and technical specification documentation for all reports and processes.

Collaboration and Mentorship:

• Collaborate with multi-functional teams, develop architectural strategies, evaluate emerging technologies AI/ML, and provide guidance on system design and implementation.

• Facilitate technical discussions and decision-making processes within the team.

• Be an interdisciplinary team member who is innovative, accountable, reliable, and able to thrive in a constantly evolving environment.

• Work across teams to support the technology stack of Commercial's Coverage, Contracting and Pricing products on standard City Plan platforms (Model N, SAP, Salesforce, GDNA, Anaplan, AWS Redshift/Alteryx/Tableau).

Data Management:

• Design, develop, and maintain scalable Extract, Transform, and Load (ETL) pipelines utilizing various technologies.

• Ensure data quality, consistency, and reliability through effective data governance practices.

• Monitor and optimize data systems for performance, scalability, and security.

• Familiarity with DevOps practices and hands on experience building CI/CD pipelines.

Innovation and Improvement:

• Stay updated with the latest industry trends and advancements in software architecture and development.

• Identify opportunities for process improvements and drive initiatives to enhance the efficiency of the development lifecycle.

Win

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The professional we seek will have these qualifications.

Basic Qualifications:

• Doctorate degree and 2 years of Computer Science, Data Engineering, or a related field

Or

• Master's degree and 4 years of Computer Science, Data Engineering, or a related field

Or

• Bachelor's degree and 6 years of Computer Science, Data Engineering, or a related field

Or

• Associate degree and 10 years of Computer Science, Data Engineering, or a related field

Or

• High school diploma / GED and 12 years of Computer Science, Data Engineering, or a related field

Preferred Qualifications:

• Five plus years of experience in data engineering, with a focus on large-scale data systems.

• Three plus years of proven experience in designing and implementing complex data pipelines and ETL processes.

• Four plus years of experience data warehousing, data modeling, and database design using Databricks and AWS/Azure stack.

• Proficiency in SQL, Python, R and other relevant programming languages.

• Strong experience with big data technologies (e.g., Hadoop, Spark, Kafka).

• Expertise in cloud data platforms (e.g., AWS, Azure, Google Cloud).

• Solid experience in data visualization tools (e.g., Tableau, Power BI).

• Excellent problem-solving skills and attention to detail.

• Strong communication and collaboration skills.

• Ability to work effectively in a fast-paced, Agile development environment.

• Experience working in Agile teams & DevOps frameworks (Jenkins, JIRA, GitHub) and designing CI/CD processes

• Certification in Agile or Scaled Agile Framework (SAFe)

• Understanding of containerization and orchestration tools (e.g., Docker, Kubernetes).

• Experience with machine learning and data analytics frameworks.

• Previous experience designing and building large-scale data platforms and systems including AI solutions.

• Familiar with Machine Learning life cycle, with knowledge of feature stores, MLflow, model registries, model deployment, model serving, and model monitoring.

• Certification in Anaplan.

• Familiar with PySpark and data processing libraries, machine learning frameworks (like Tensorflow, Keras or PyTorch), and other machine learning libraries.

• Ability to quickly assimilate knowledge and learn platforms, languages, tools, and technologies.

Thrive

What you can expect of us

As we work to develop treatments that take care of others, we also work to care for our teammates' professional and personal growth and well-being.

The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.

Amgen offers a Total Rewards Plan comprising health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities including:

• Comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts.

• A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan

• Stock-based long-term incentives

• Award-winning time-off plans and bi-annual company-wide shutdowns

• Flexible work models, including remote work arrangements, where possible

Apply now

for a career that defies imagination

Objects in your future are closer than they appear. Join us.
careers.amgen.com

Application deadline
Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.

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 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 accommodation.

Salary Range
145,485.00 USD - 188,013.00 USD