1LMX PPM UDE-Starburst Data Engineer / Software Engineer, Sr

Lockheed Martin•Fort Worth, CO

3d•$93,200 - $185,840•Remote

About The Position

Lockheed Martin is on a transformational journey that includes business process reinvention, as well as Agile and Digital transformations. This transformation is Lockheed Martin’s path to the future with its interconnected environment where transactional systems are very intuitive and data becomes actionable information that drives decisions to create value across the entire lifecycle. To help us along this journey, we are looking for a highly skilled Data Engineer to join our PPM Unified Data Exchange (UDE) and Starburst team. This role will focus on building, securing, and scaling a data platform that enables performant, governed and secure access to data across multiple domains and sources. This is a hands-on role requiring strong technical depth in distributed data systems, cloud infrastructure and security by design, with the ability to collaborate closely with product team and consumers.

Requirements

3+ years of experience in Data Engineering and/or DevSecOps
Strong experience with Starburst Enterprise/Trino/Presto
Strong experience with advanced Linux scripting and proficiency in a language. Preferred Redhat 8 Administration and Ansible
Experience with Iceberg, Hive, or similar table formats
Solid understanding of distributed query engines and data architectures
Experience with cloud platforms (AWS, Azure, etc)
Hands on experience with Kubernetes, Docker, Terraform or similar IaC tools
Proficiency in at least on programming language (Python, or similar)
Experience implementing data security, access controls and governance at scale
Strong troubleshooting and performance tuning skills
US Citizenship is required for this role

Nice To Haves

Knowledge of data mesh, domain oriented data architectures
Familiarity with observability tools (Prometheus, Grafana, etc)

Responsibilities

Design, build and maintain a data platform using Starburst/Trino as a core query engine
Enable secure, performant data access across multiple data sources (object storage, relational databases, streaming systems, etc.)
Implement and manage infrastructure as code for data and platform services
Build and maintain CI/CD pipeline for data platform and deployments
Apply DevSecOps best practices
Optimize query performance, cost, reliability across distributed environments
Partner with governance, security and product teams to ensure compliance and data trust
Support and evolve UDE that enables self-service and data analytics