Sr. Data Engineer

GE Aerospace

Closes in 3 days Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $93,000–$124,000 / yr
Posted: 4 days ago
Closes: Jun 9, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $171k

This role $108k

$78k most similar roles pay here $233k

This role pays less than 94% of similar roles. Most pay $131,750–$211,200 — the shaded band above. At the midpoint, this role pays about $108k versus about $171k for comparable roles.

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 40 open roles on FindRole.

Listed pay typically runs $130,000–$174,000 across 25 roles with salary data.

Most-posted roles

View all roles at GE Aerospace

At a glance

TL;DR · Sr. Data Engineer

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As the Sr. Data Engineer in the EDAS platform team, you will focus on building and architecting automation and observability solutions, with an emphasis on data consumption workflows. Your daily tasks include designing and implementing real-time monitoring tools, optimizing data pipelines for scalability, and collaborating with cross-functional teams to enhance efficiency and reliability. Key technologies involve Redshift, Spotfire, Dataiku project flows, Talend, and AWS services such as Lambda and CloudWatch. You will also work with observability tools like Prometheus, Grafana, and FluentBit, and ensure compliance with data governance standards using OpenTelemetry and CDC tooling. This role requires expertise in Python, Bash scripting, Docker, and infrastructure automation with Terraform or CloudFormation.

Skills

AWS Python Docker Prometheus Grafana FluentBit ELK stack OpenSearch Airflow Glue Step Functions OpenTelemetry Elasticsearch Terraform CI/CD CloudWatch S3 IAM Node.js Vue React Kubernetes

What you'll do

Build and maintain observability frameworks for monitoring platform health and performance.
Implement real-time monitoring tools to detect and resolve issues proactively.
Analyze system metrics and logs to identify trends and areas for improvement.
Design automation solutions to streamline data processing workflows and enhance efficiency.
Develop scripts and tools to automate repetitive tasks and improve system reliability.
Ensure high availability of the platform through robust monitoring strategies.
Optimize data pipelines for scalability and compliance with governance standards.

What we're looking for

At least 5 years of professional experience in data engineering or related field.
Proficiency in Python and Bash scripting for automation tasks.
Experience with AWS services including Lambda, CloudWatch, S3, IAM.
Expertise in observability tools like Prometheus, Grafana, FluentBit, ELK stack.
Knowledge of data pipeline technologies such as Airflow, Glue, Step Functions.
Understanding of database systems and Elasticsearch/OpenSearch stacks.
Skills in infrastructure management using Terraform/CloudFormation.

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