Principal Data Engineer

Amgen • Tampa, FL

1d • $159,423 - $215,689

About The Position

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. 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
Let’s do this. Let’s 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.

Requirements

• Demonstrated proficiency in leveraging cloud platforms (AWS, Azure, GCP) for data engineering solutions.
• Strong understanding of cloud architecture principles and cost optimization strategies.
• Proficient on experience in Python, PySpark, SQL.
• Handon experience with bid data ETL 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.
• Doctorate degree and 2 years of Data Engineer experience OR Master’s degree and 4 years of Data Engineer experience OR Bachelor’s degree and 6 years of Data Engineer experience OR Associate’s degree and 10 years of Data Engineer experience OR High school diploma / GED and 12 years of Data Engineer experience.
• 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.

Nice To Haves

• 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
• AWS Certified Data Engineer preferred
• Databricks Certificate preferred

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 and maintain data 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.

Benefits

• A 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
• Flexible work models where possible.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: No Education Listed