Data Engineer III, Development

Thermo Fisher

Quick summary

Work type
On-site
Location
Carlsbad, CA
Salary
$180,502–$186,000 / yr
Posted
4 days ago
Nearby
20 roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $181k
This role $183k
$138k most similar roles pay here $223k

This role pays more than 51% of similar roles. Most pay $147,325–$214,800 — the shaded band above. At the midpoint, this role pays about $183k versus about $181k for comparable roles.

Based on 240 similar postings.

Employer

About Thermo Fisher

Thermo Fisher Scientific is the world leader in serving science, providing analytical instruments, equipment, reagents, consumables, software, and services for life sciences research, pharmaceutical manufacturing, and diagnostics. Industry: Life Sciences & Laboratory Equipment

Thermo Fisher currently has 16 open roles on FindRole.

Listed pay typically runs $133,744–$171,900 across 12 roles with salary data.

Most-posted roles

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At a glance

TL;DR · Data Engineer III, Development

Role Posting Log in to save

As a Data Engineer III on the Data Science and Enterprise Data Platform team at Thermo Fisher, you will design, develop, test, deploy, and support data integration solutions to connect enterprise systems and enhance data pipelines using Apache Spark-based platforms. Your day-to-day responsibilities include facilitating requirements gathering workshops, authoring technical design documents, implementing standard operating procedures, and driving improvements through agile development methodologies. You will work with technologies such as Databricks, Delta Lake, AWS Redshift, Glue, Kafka, Elastic Search, Lambda, S3, PySpark, Python, Git, Jenkins, and Informatica to build robust data integration solutions. This role requires expertise in database queries, query optimization, source control systems, and complex SQL queries, with a focus on leveraging cutting-edge technologies to solve business problems at scale.

Skills

AWS Apache Spark Databricks Delta Lake Oracle Redshift RDS MongoDB DynamoDB Kafka Elastic Search Lambda S3 PySpark Python Git Jenkins TCL Unix shell script Complex SQL queries Sybase

What you'll do

  • Design and develop data integration solutions using Apache Spark-based platforms.
  • Facilitate requirements gathering workshops for business and technical stakeholders.
  • Author technical design documents and testing plans for data engineering projects.
  • Implement standard operating procedures and review sessions with end-users.
  • Define reference architecture for enterprise data pipelines and BI solutions.
  • Follow agile methodologies to deliver DevOps practices in AWS Cloud environments.

What we're looking for

  • 4+ years of experience as a Database Administrator or Data Engineer.
  • Proficiency in Databricks, Delta Lake, and AWS Redshift relational databases.
  • Expertise in developing data engineering pipelines using Apache Spark and AWS Glue.
  • Experience with source control systems like Git and continuous integration tools.
  • Knowledge of PySpark, Python libraries, and complex SQL queries.
  • Ability to design reference architecture and implement BI solutions.
  • Familiarity with agile development methodologies and DevOps practices.

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