Principal Data Engineer

Amgen

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
Thousand Oaks, CA
Salary
$159,422–$215,689 / yr
Posted
16 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $193k
This role $188k
$133k most similar roles pay here $247k

This role pays less than 63% of similar roles. Most pay $169,362–$216,300 — the shaded band above. At the midpoint, this role pays about $188k versus about $193k for comparable roles.

Based on 240 similar postings.

Employer

About Amgen

Amgen is a leading biotechnology company that discovers, develops, manufactures, and delivers innovative human therapeutics, with products addressing conditions such as anemia, bone loss, inflammation, and cancer. Industry: Biotechnology & Pharmaceuticals

Amgen currently has 46 open roles on FindRole.

Listed pay typically runs $136,906–$184,235 across 44 roles with salary data.

Most-posted roles

View all roles at Amgen

At a glance

TL;DR · Principal Data Engineer

As a Principal Data Engineer, you will join the Information Systems team to lead the design, development, and implementation of the company's data strategy. You will architect and oversee robust data platforms, manage cloud-based solutions, and mentor a high-performing team of engineers while ensuring data governance, quality, and security. Your daily work involves rapid prototyping, developing data pipelines, and translating business requirements into technical solutions to solve complex data challenges. The role requires proficiency in Python, PySpark, and SQL, along with experience in big data ETL performance tuning. You will utilize cloud platforms like AWS, Azure, or GCP, and may leverage tools such as Apache Spark, Apache Airflow, and CI/CD pipelines. This position focuses on building scalable infrastructure to support critical business objectives within a complex biotechnology environment.

What does a Data Engineer earn in California?

Median $199800 from 35 postings across 19 companies.

See salary data

What you'll do

  • Lead the design, development, and implementation of the company's data strategy.
  • Architect and oversee the development of robust data platforms and cloud-based solutions.
  • Mentor and guide a team of data engineers to foster innovation and best practices.
  • Oversee the optimization of data pipelines and complex integration solutions.
  • Establish and maintain data governance policies to ensure quality, security, and compliance.
  • Translate business stakeholder requirements into technical solutions and working code.
  • Identify and resolve complex data-related challenges through analytical problem-solving.
  • Monitor emerging technologies to identify opportunities for innovation within the data landscape.

What we're looking for

  • Proficiency in Python, PySpark, and SQL is required.
  • Demonstrated proficiency in leveraging cloud platforms (AWS, Azure, or GCP) for data engineering solutions.
  • Proven ability to lead, mentor, and develop high-performing data engineering teams.
  • Experience with big data ETL performance tuning is required.
  • Experience with data modeling and performance tuning for OLAP and OLTP databases (preferred).
  • Experience with Apache Spark, Apache Airflow, and software engineering best practices like Git and CI/CD (preferred).
  • A Doctorate with 2 years of experience, Master's with 4 years, Bachelor's with 6 years, or Associate's with 10 years of data engineering experience.
  • AWS Certified Data Engineer or Databricks Certificate (preferred).

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