PPM UDE-Starburst Data Engineer, Senior

Lockheed Martin

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $107,300–$185,840 / yr
Posted: 3 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $168k

This role $147k

$95k most similar roles pay here $221k

This role pays less than 65% of similar roles. Most pay $137,500–$199,300 — the shaded band above. At the midpoint, this role pays about $147k versus about $168k for comparable roles.

Based on 240 similar postings.

Employer

About Lockheed Martin

Lockheed Martin is a global aerospace, defense, and security company that designs, develops, and manufactures advanced technology systems, products, and services for government and commercial customers worldwide.

Lockheed Martin currently has 602 open roles on FindRole.

Listed pay typically runs $101,000–$178,135 across 301 roles with salary data.

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At a glance

TL;DR · PPM UDE-Starburst Data Engineer, Senior

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Lockheed Martin seeks a Data Engineer to join its PPM Unified Data Exchange and Starburst team, focusing on building, securing, and scaling a data platform that enables intuitive and secure access to data across various sources. This hands-on role involves designing and maintaining a data platform using Starburst/Trino as the core query engine, implementing infrastructure as code for cloud services, and managing CI/CD pipelines. The ideal candidate will have 3+ years of experience in Data Engineering or DevSecOps, proficiency with Linux scripting and tools like Ansible, and hands-on experience with Kubernetes, Docker, Terraform, and cloud platforms such as AWS or Azure. Additionally, strong skills in query optimization, data security, and collaboration with governance teams are essential for this role that aims to drive value across the entire lifecycle of Lockheed Martin’s transformational journey.

Skills

Starburst Trino AWS Kubernetes Terraform Python Linux Docker CI/CD DevSecOps Iceberg Hive Prometheus Grafana Ansible Redhat PostgreSQL Snowflake

What you'll do

Design and maintain a data platform using Starburst/Trino as the core query engine.
Enable secure, efficient access to data from various sources like object storage and relational databases.
Implement infrastructure as code for data services and manage CI/CD pipelines.
Optimize performance, cost, and reliability of queries in distributed environments.
Collaborate with governance and security teams to ensure compliance and data trust.

What we're looking for

3+ years of experience in Data Engineering and DevSecOps.
Strong expertise with Starburst Enterprise/Trino/Presto and advanced Linux scripting.
Hands-on experience with cloud platforms (AWS, Azure) and Kubernetes/IaC tools.
Proficiency in at least one programming language (Python, etc.) and Redhat 8 Administration.
Experience implementing data security, access controls, and governance at scale.
Solid understanding of distributed query engines and data architectures.

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