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:

As part of the cybersecurity organization, the Data Engineer is responsible for designing, building, and maintaining data infrastructure to support data-driven decision-making. This role involves working with large datasets, developing reports, executing data governance initiatives, and ensuring data is accessible, reliable, and efficiently managed. The role sits at the intersection of data infrastructure and business insight delivery, requiring the Data Engineer to design and build robust data pipelines while also translating data into meaningful visualizations for stakeholders across the organization. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture, ETL processes, and cybersecurity data frameworks.

Roles & Responsibilities:

Design, develop, and maintain data solutions for data generation, collection, and processing.
Be a key team member that assists in design and development of the data pipeline.
Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems.
Develop and maintain interactive dashboards and reports using tools like Tableau, ensuring data accuracy and usability
Schedule and manage workflows the ensure pipelines run on schedule and are monitored for failures.
Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs.
Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency.
Implement data security and privacy measures to protect sensitive data.
Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions.
Collaborate and communicate effectively with product teams.
Collaborate with data scientists to develop pipelines that meet dynamic business needs.
Share and discuss findings with team members practicing SAFe Agile delivery model.

Functional Skills:

Basic Qualifications:

Master's degree OR Bachelor's degree and 5 to 9 years of Computer Science, IT or related field experience

Preferred Qualifications:

Hands on experience with data practices, technologies, and platforms, such as Databricks, Python, Gitlab, LucidChart, etc. 
Proficiency in data analysis tools (e.g. SQL) and experience with data sourcing tools 
Excellent problem-solving skills and the ability to work with large, complex datasets 
Understanding of data governance frameworks, tools, and best practices
Knowledge of and experience with data standards (FAIR) and protection regulations and compliance requirements (e.g., GDPR, CCPA)

Good-to-Have Skills:

Experience with ETL tools and various Python packages related to data processing, machine learning model development 
Strong understanding of data modeling, data warehousing, and data integration concepts 
Experience with data visualization and dashboarding tools—Tableau, Power BI, or similar is a plus
Knowledge of Python/R, Databricks, cloud data platforms 
Experience working in Product team's environment
Experience working in an Agile environment

Professional Certifications:

AWS Certified Data Engineer preferred
Databricks Certificate preferred

Soft Skills:

Initiative to explore alternate technology and approaches to solving problems
Skilled in breaking down problems, documenting problem statements, and estimating efforts
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

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 accommodation.

Sr. Associate Data Engineer