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Principal Data Engineer

Job in Thousand Oaks, Ventura County, California, 91362, USA
Listing for: BioSpace
Full Time position
Listed on 2026-09-14
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below

Join Amgens 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. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions.

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.

Principal Data Engineer What You Will Do

Lets do this. Lets change the world. In this vital role you will lead the design, development, and implementation of our data strategy. The ideal candidate possesses a deep understanding of data engineering principles, coupled with strong leadership and problem-solving skills. As a Principal Data Engineer, you will architect and oversee the development of robust data platforms, while mentoring and guiding a team of data engineers.

Roles & Responsibilities
  • Possesses strong rapid prototyping skills and can quickly translate concepts into working code.
  • Provide expert guidance and mentorship to the data engineering team, fostering a culture of innovation and best practices.
  • Design, develop, and implement robust data architectures and platforms to support business objectives.
  • Oversee the development and optimization of data pipelines,and data integration solutions.
  • Establish andmaintaindata governance policies and standards to ensure data quality, security, and compliance.
  • Architect and manage cloud-based data solutions,leveraging AWS or other preferred platforms.
  • Lead and motivate a high-performing data engineering team to deliver exceptional results.
  • Identify, analyze, and resolve complex data-related challenges.
  • Collaborate closely with business stakeholders to understand data requirements and translate them into technical solutions.
  • Stay abreast of emerging data technologies and explore opportunities for innovation.
What We Expect Of You

We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a Principal Data Engineer with these qualifications.

Functional Skills Must-Have Skills
  • Demonstratedproficiencyinleveragingcloud platforms (AWS, Azure, GCP) for data engineering solutions. Strong understanding of cloud architecture principles and cost optimization strategies.
  • Proficientonexperiencein Python,PySpark,SQL.Handon experience withbiddataETL performance tuning.
  • Proven ability to lead and develop high-performing data engineering teams.
  • Strong problem-solving, analytical, and critical thinking skills to address complex data challenges.
Good-to-Have Skills
  • Experienced with data modeling and performance tuning for both OLAP and OLTP databases
  • Experienced with Apache Spark, Apache Airflow
  • Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops
  • Experienced with AWS, GCP or Azure cloud services
Education and Professional Certifications

Doctorate degree and 2 years of Data Engineer experience OR Masters degree and 4 years of Data Engineer experience OR Bachelors degree and 6 years of Data Engineer experience OR Associates degree and 10 years of Data Engineer experience OR High school diploma / GED and 12 years of Data Engineer experience

  • AWS Certified Data Engineer preferred
  • Databricks Certificate preferred
Soft Skills
  • 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
  • Strong presentation and public speaking skills.
What You Can Expect Of Us

As we work to develop treatments that take care of others, we also work to…

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