Principal Data Engineer

Oracle

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Quick summary

Work type
On-site
Location
Nashville, TN
Salary
$114,600–$234,600 / yr
Posted
42 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

As a Principal Data Engineer on the data analytics team, you will play a critical role in providing data-driven decision support for Oracle Cloud Infrastructure’s largest products and programs. You will take ownership of large portions of the data ecosystem by designing, building, and optimizing automated, scalable ETL pipelines and infrastructure to process diverse data sources. Your daily responsibilities include managing data governance policies, ensuring PII and PHI redaction compliance, and implementing rigorous validation checks to maintain data integrity. You will also mentor junior team members, collaborate in an agile environment to develop robust solutions, and evaluate new technologies for continuous improvement. The role focuses on solving complex problems regarding data consistency, scalability, and security while transforming raw information into high-quality datasets used for essential business analysis and strategic decision-making across the cloud infrastructure.

What does a Data Engineer earn?

Median $183138 from 214 postings across 58 companies.

See salary data

What you'll do

  • Build scalable ETL pipelines to support efficient data collection and extraction from various sources.
  • Design and optimize data infrastructure for high performance, security, and seamless data flow.
  • Implement data governance policies and redaction processes to ensure PII/PHI compliance and data integrity.
  • Develop automated data validation and quality assurance checks to mitigate risks in downstream models.
  • Create and maintain advanced, cost-effective data solutions within an agile development environment.
  • Mentor junior team members on technical requirements, data labeling, and day-to-day operations.
  • Evaluate new technologies and document design decisions to improve overall system robustness.

What we're looking for

  • Must have 6 to 10+ years of experience in data engineering.
  • Must be able to read, write, and speak English.
  • Must possess advanced knowledge of ETL processes to design and optimize scalable data pipeline architectures.
  • Must be able to independently design and implement data governance policies for consistency, integrity, and compliance.
  • Must lead redaction processes for PII and PHI data to ensure privacy standards.
  • Must be able to develop, maintain, and debug advanced data solutions in an agile environment.
  • Must be able to mentor less experienced team members on technical tasks and project requirements.

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