Data Engineer Graph – Research Data and Analytics

Career Category

Job Description

Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Data Engineer Graph – Research Data and Analytics

What you will do

Let’s do this. Let’s change the world. In this vital role you will be part Research’s Semantic Graph Team is seeking a qualified individual to design, build, and maintain solutions for scientific data that drive business decisions for Research. The successful candidate will construct scalable and high-performance data engineering solutions for extensive scientific datasets and collaborate with Research partners to address their data requirements. The ideal candidate should have experience in the pharmaceutical or biotech industry, leveraging their expertise in semantics, taxonomies, and linked data principles to ensure data harmonization and interoperability. Additionally, this individual should demonstrate robust technical skills, proficiency with data engineering technologies, and a thorough understanding of data architecture and ETL processes.

Roles & Responsibilities:

• Design, develop, and implement data pipelines, ETL/ELT processes, and data integration solutions
• Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks
• Develop and maintain semantic data models for biopharma scientific data, data dictionaries, and other documentation to ensure data accuracy and consistency
• Optimize large datasets for query performance
• Collaborate with global multi-functional teams including research scientists to understand data requirements and design solutions that meet business needs
• Implement data security and privacy measures to protect sensitive data
• Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
• Collaborate with Data Architects, Business SMEs, Software Engineers and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions
• Identify and resolve [complex] data-related challenges
• Adhere to standard processes for coding, testing, and designing reusable code/component
• Explore new tools and technologies that will help to improve ETL platform performance
• Participate in sprint planning meetings and provide estimations on technical implementation
• Maintain comprehensive documentation of processes, systems, and solutions

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. T

Basic Qualifications and Experience:

• Doctorate Degree OR Master’s degree with 2- 4years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR
• Bachelor’s degree with 4- 6years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR
• Diploma with 7- 9 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field

Preferred Qualifications and Experience:

• 4+ years of experience in designing and supporting biopharma scientific research data analytics (software platforms)

Functional Skills:

Must-Have Skills:

• Proficiency in SQL and Python for data engineering, test automation frameworks (pytest), and scripting tasks
• Hands on experience with data technologies and platforms, such as Databricks, workflow orchestration, performance tuning on big data processing.
• Excellent problem-solving skills and the ability to work with large, complex datasets

Good-to-Have Skills:

• A passion for tackling complex challenges in drug discovery with technology and data
• Experience with system administration skills, such as managing Linux and Windows servers, configuring network infrastructure, and automating tasks with shell scripting. Examples include setting up and maintaining virtual machines, troubleshooting server issues, and ensuring data security through regular updates and backups.
• Solid understanding of data modeling, data warehousing, and data integration concepts
• Solid experience using RDBMS (e.g. Oracle, MySQL, SQL server, PostgreSQL)
• Knowledge of cloud data platforms (AWS preferred)
• Experience with data visualization tools (e.g. Dash, Plotly, Spotfire)
• Experience with diagramming and collaboration tools such as Miro, Lucidchart or similar tools for process mapping and brainstorming
• Experience writing and maintaining user documentation in Confluence
• Understanding of data governance frameworks, tools, and standard processes

Professional Certifications:

• Databricks Certified Data Engineer Professional preferred

Soft Skills:

• Excellent critical-thinking and problem-solving skills
• Good communication and collaboration skills
• Demonstrated awareness of how to function in a team setting
• Demonstrated presentation skills

What you can expect of us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.

In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Apply now and make a lasting impact with the Amgen team.

careers.amgen.com

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

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.