Principal Data Engineer

Fidelity Financial Services

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Durham, NC
Posted: 15 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $187k

$129k $270k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $156,275–$216,850.

Based on 240 similar postings.

Employer

About Fidelity Financial Services

Fidelity Investments is one of the largest financial services companies in the world, offering brokerage services, mutual funds, retirement planning, wealth management, and life insurance to individuals and institutions. Industry: Financial Services & Investment Management

Fidelity Financial Services currently has 141 open roles on FindRole.

Listed pay typically runs $107,000–$216,000 across 35 roles with salary data.

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At a glance

TL;DR · Principal Data Engineer

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The Principal Data Engineer designs and develops complex data integration solutions and ETL reporting systems within a financial services environment. Working in an Agile framework, the engineer builds scalable, secure, and high-performance data environments by developing sophisticated CI/CD pipelines and advanced data engineering frameworks. Daily responsibilities include writing SQL and stored procedures, performing debugging, and providing production support for data-centric solutions consumed by customers. The role requires technical expertise in Informatica, Snaplogic, Snowflake, PostgreSQL, and AWS services like EC2, S3, Lambda, and RDS. Candidates must utilize Java, Python, and JSON while managing version control and test automation. Key tasks involve mentoring junior engineers, maintaining technical documentation, and collaborating with business partners to translate requirements into technical designs for real-time and batch reporting platforms.

What does a Data Engineer earn?

Median $159000 from 205 postings across 60 companies.

See salary data

Skills

Python SQL ETL AWS Snowflake PostgreSQL Java CI/CD Jenkins Docker Ansible Maven Oracle PL/SQL Informatica Snaplogic S3 Lambda RDS EC2 GitHub Bitbucket Agile Scrum

What you'll do

Design and develop complex ETL reporting and analytics solutions using Informatica and Snaplogic.
Maintain enterprise data warehouses using Snowflake, PostgreSQL, and AWS cloud services.
Develop sophisticated CI/CD pipelines using Maven, Jenkins, Ansible, and Docker.
Write SQL scripts and stored procedures to process large datasets in relational databases.
Perform software configuration management, test automation, and static code analysis.
Solve production issues and provide application development support based on Jira stories.
Create and maintain technical documentation for software-based projects and products.
Translate business requirements into technical requirements through interaction with business partners.

What we're looking for

Bachelor’s degree in a related field and experience as a Principal Data Engineer in a financial services environment.
Master’s degree in a related field and experience as a Principal Data Engineer in a financial services environment.
Expertise designing and developing data pipelines for data warehouses using Python within Agile frameworks.
Expertise building and maintaining ETL pipelines using Python and developing SQL scripts or stored procedures for Oracle, Postgres, or Snowflake.
Expertise applying DevOps principles and building CI/CD pipelines using Jenkins, Bitbucket, or GitHub.
Expertise improving system reliability and supporting continuous delivery of data engineering solutions using AWS or GCP.
Proficiency with ETL tools including Informatica and Snaplogic.
Proficiency with cloud services including AWS IAM, EC2, S3, Lambda, and RDS.

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