below marketmost similar roles pay hereabove market
This role pays less than
57%
of similar roles. Most pay
$156,275–$216,850
— the blue band above.
At the midpoint, this role pays about
$188k
versus about
$187k
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
76 open roles
on FindRole.
Listed pay typically runs
$136,906–$185,227
across 46 roles with salary data.
JOB TITLE: Principal Data Engineer
The Principal Data Engineer joins the data engineering team to lead the design, development, and implementation of the corporate data strategy. This role involves architecting robust data platforms, overseeing the development of data pipelines, and managing cloud-based data solutions. The individual will mentor a high-performing team, establish data governance policies, and translate business requirements into technical solutions. Key responsibilities include rapid prototyping and performance tuning for big data ETL processes. Required technical skills include proficiency in Python, PySpark, and SQL, along with experience in AWS, Azure, or GCP cloud platforms. Candidates should also possess experience with Apache Spark, Apache Airflow, and software engineering best practices like Git and CI/CD. This role solves complex data challenges to support business objectives within a biotechnology context.
What does a Data Engineer earn in California?
Median $187628 from 42 postings across 22 companies.
Design, develop, and implement robust data architectures and platforms to support business objectives.
Oversee the development and optimization of data pipelines and integration solutions.
Architect and manage cloud-based data solutions using AWS or other preferred platforms.
Establish and maintain data governance policies to ensure quality, security, and compliance.
Provide expert guidance and mentorship to the data engineering team to foster best practices.
Translate business requirements into technical solutions by collaborating closely with stakeholders.
Identify, analyze, and resolve complex data-related challenges and performance issues.
Rapidly prototype concepts and translate them into working code.
What we're looking for
Demonstrate proficiency in leveraging cloud platforms (AWS, Azure, GCP) for data engineering solutions.
Possess a strong understanding of cloud architecture principles and cost optimization strategies.
Be proficient in Python, PySpark, and SQL.
Have hands-on experience with big data ETL performance tuning.
Prove the ability to lead and develop high-performing data engineering teams.
Possess strong problem-solving, analytical, and critical thinking skills to address complex data challenges.
Meet one of the following: Doctorate with 2 years experience, Master’s with 4 years, Bachelor’s with 6 years, Associate’s with 10 years, or GED with 12 years of Data Engineer experience.
AWS Certified Data Engineer (preferred); Databricks Certificate (preferred).
Snowflake
AWS
Python
Data Vault
dbt
DataStage
Qlik Replicate
S3
Lambda
Data Modeling
DevOps
Agile
APIs
Data Governance
Data Quality
Metadata
Lineage
Generative AI