Senior Data Engineer

GE Aerospace

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Quick summary

Work type
On-site
Location
Dayton, OH
Employment
Full-time
Posted
18 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $169k
$115k $221k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$210,625.

Based on 240 similar postings.

Employer

About GE Aerospace

GE Aerospace (General Electric Aerospace) designs and produces commercial and military jet engines, components, and integrated systems for aircraft manufacturers and airlines worldwide. Industry: Aerospace & Aviation Engines

GE Aerospace currently has 44 open roles on FindRole.

Listed pay typically runs $130,000–$173,000 across 22 roles with salary data.

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At a glance

TL;DR · Senior Data Engineer

The Sr Data Engineer is responsible for designing, developing, testing, and implementing data engineering processes to generate analytical and reporting solutions. Working within an agile framework, the individual will build technical data dictionaries, perform data profiling, and develop both logical and physical data models for OLTP and OLAP solutions. Key responsibilities include building automated ETL jobs, maintaining metadata structures, and designing data quality rules. The role requires hands-on experience with programming languages like Java, Python, or Scala, and writing SQL scripts for Oracle, MySQL, PostgreSQL, or HiveQL. Candidates should have exposure to tools such as Informatica, Talend, ERWin, and Alation. The position involves handling unstructured datasets like XML and JSON while managing Master Data Management tools to solve complex data mapping and transformation problems.

What does a Data Engineer earn?

Median $159000 from 203 postings across 58 companies.

See salary data

What you'll do

  • Design, develop, test, and implement data engineering processes for analytical and reporting solutions.
  • Build logical and physical data models for OLTP and OLAP solutions.
  • Develop and maintain data mapping specifications based on functional requirements.
  • Build and maintain automated ETL jobs and reusable metadata structures.
  • Perform data profiling and analysis for source systems and target repositories.
  • Design and build data quality rules to identify issues proactively.
  • Analyze downstream system impacts and provide recommendations from deep-dive data analysis.
  • Identify automation opportunities using artificial intelligence tools to improve process efficiency.

What we're looking for

  • Bachelor’s degree with 2 years of professional experience, Associate’s degree with 5 years, or High School Diploma with 7 years.
  • Legal authorization to work in the U.S.
  • Must be a U.S. Person (citizen, lawful permanent resident, asylee, or refugee) to access export-controlled information.
  • Hands-on experience in programming languages like Java, Python, or Scala (preferred).
  • Hands-on experience writing SQL scripts for Oracle, MySQL, PostgreSQL, or HiveQL (preferred).
  • Exposure to industry standard data modeling tools like ERWin or ER Studio (preferred).
  • Exposure to ETL tools like Informatica or Talend (preferred).
  • Authorized to work in the United States for this opening.

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