Principal Data Engineer

Oracle

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Nashville, TN
Salary
$114,600–$234,600 / yr
Posted
51 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $193k
This role $175k
$100k most similar roles pay here $250k

This role pays less than 69% of similar roles. Most pay $169,362–$216,300 — the shaded band above. At the midpoint, this role pays about $175k versus about $193k for comparable roles.

Based on 240 similar postings.

Employer

About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 781 open roles on FindRole.

Listed pay typically runs $102,300–$209,500 across 713 roles with salary data.

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View all roles at Oracle

At a glance

TL;DR · Principal Data Engineer

Principal Data Engineer The Principal Data Engineer joins the team to provide expert guidance on designing and building data infrastructure that optimizes processing from diverse sources. This individual contributor role involves independently developing, maintaining, and debugging advanced data solutions within an agile environment while mentoring less experienced team members. Key responsibilities include implementing robust data governance policies for PII and PHI redaction, establishing rigorous validation checks to ensure data integrity, and constructing automated, scalable ETL pipelines to create reusable data products. The candidate will utilize expertise in distributed systems and data engineering to manage complex data flows, optimize indexing and query performance, and evaluate new technologies for more robust solutions. This role addresses critical challenges in data consistency, reliability, and security while ensuring all data handling complies with relevant laws and industry standards.

What does a Data Engineer earn?

Median $183138 from 214 postings across 58 companies.

See salary data

What you'll do

  • Design and build data infrastructure to optimize processing from diverse sources.
  • Develop, maintain, and debug scalable ETL pipelines and automated data architectures.
  • Implement data governance policies and procedures to ensure consistency, integrity, and security.
  • Execute redaction processes for PII and PHI to ensure compliance with privacy standards.
  • Design and implement rigorous data validation and integrity checks to mitigate quality issues.
  • Manage relationships with data providers and hold upstream/downstream teams accountable to SLAs.
  • Mentor junior team members on technical requirements, data labeling, and daily operations.
  • Evaluate new technologies and document design decisions for the broader architecture team.

What we're looking for

  • Must have 6 to 10+ years of experience in the field.
  • Proficiency in data engineering is required.
  • Knowledge of distributed systems is required.
  • Ability to read, write, and speak English.
  • Experience designing and optimizing automated, scalable ETL pipelines and data infrastructure.
  • Expertise in implementing data governance policies for PII and PHI compliance.
  • Ability to work independently and collaboratively in an agile development environment.

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