Associate Data Engineer

Amgen; United States; Remote; USD 80,000 - 120,000; Full time

Job summary

Amgen is seeking an Associate Data Engineer to enhance their data infrastructure. The role involves building and optimizing data pipelines, managing AWS environments, and collaborating with teams to implement technical solutions. Ideal candidates will have a degree in computer science and skills in SQL, Python, and data modeling.

Benefits

Opportunities for learning and growth

Diverse and inclusive culture

Comprehensive Total Rewards Plan

Flexible work arrangements

Qualifications

• Degree educated in a computer science-based subject.
• Proficient in SQL for complex data extraction.
• Skilled in Python, PySpark, and Airflow.

Responsibilities

• Designing, building, and optimizing data pipelines using AWS.
• Managing AWS environments for optimal performance.
• Ensuring data integrity and accuracy through quality checks.

Skills

SQL

Python

PySpark

Airflow

Data modeling

Performance tuning

Apache Spark

DevOps practices

Education

Degree in computer science or related field

Tools

AWS

Databricks

SQL/NoSQL databases

GCP

Azure

Job description

Career Category

Information Systems

Job Description

HOW MIGHT YOU DEFY IMAGINATION?

Join our team at Amgen Capability Center Portugal, ranked the #1 Best Workplace in Portugal (201–500 employees’ category) by the Great Place to Work Institute. With over 300 talented professionals representing more than 35 nationalities, we are shaping the future of healthcare across diverse areas such as Cybersecurity, Data & Analytics, Digital Innovation, Finance, HR, Regulatory Affairs, and more. Located in the heart of Lisbon, our office fosters innovation, excellence, and inspiration. Come thrive with us at Amgen, supporting our mission To Serve Patients. What we do at Amgen matters in people’s lives.

ASSOCIATE DATA ENGINEER

LIVE WHAT YOU WILL DO

As an Associate Data Engineer, you will play a key role in building and optimizing our data infrastructure to support advanced analytics and predictive modeling. You will collaborate with cross-functional teams to design and implement scalable data pipelines and manage our AWS-based data lake and warehouse environments.

Your responsibilities will include:

• Designing, building, and optimizing data pipelines, data lakes, and data warehouses using AWS and Databricks.
• Managing and maintaining AWS and Databricks environments for optimal performance and uptime.
• Ensuring data integrity, accuracy, and consistency through rigorous quality checks and monitoring.
• Collaborating with cross-functional teams to translate business needs into technical solutions.
• Exploring and implementing new tools and technologies to enhance ETL platform performance.

WIN WHAT WE EXPECT OF YOU

Our ideal candidate:

• Degree educated in a computer science-based subject.
• Proficient in SQL for complex data extraction and performance optimization.
• Skilled in Python, PySpark, and Airflow for building scalable ETL processes.
• Experience with SQL/NoSQL and vector databases for large language models.
• Familiarity with data modeling and performance tuning for OLAP and OLTP systems.
• Knowledge of Apache Spark, Apache Airflow, and DevOps practices.
• Experience with cloud platforms such as AWS, GCP, or Azure.

THRIVE WHAT YOU CAN EXPECT OF US

• Vast opportunities to learn, grow, and advance across our global organization.
• A diverse and inclusive culture where your voice is heard and your ideas matter.
• A comprehensive Amgen Total Rewards Plan covering health, financial, and career benefits.
• Flexible work arrangements to support work-life balance.

APPLY NOW FOR A CAREER THAT DEFIES IMAGINATION

In our quest to serve patients above all else, Amgen is the first to imagine, and the last to doubt. Join us. careers.amgen.com

EQUAL OPPORTUNITY STATEMENT

Amgen is an Equal Opportunity employer and considers all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We are committed to providing reasonable accommodations to individuals with disabilities throughout the application and interview process, and during employment. Please contact us to request accommodation.