AI Data Engineer, Staff

Lockheed Martin

Quick summary

Work type
On-site
Location
Fort Worth, TXPalmdale, CA
Salary
$132,900–$234,370 / yr
Posted
5 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $172k
This role $184k
$119k most similar roles pay here $247k

This role pays more than 56% of similar roles. Most pay $134,725–$209,313 — the shaded band above. At the midpoint, this role pays about $184k versus about $172k 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 618 open roles on FindRole.

Listed pay typically runs $101,000–$178,135 across 310 roles with salary data.

Most-posted roles

View all roles at Lockheed Martin

At a glance

TL;DR · AI Data Engineer, Staff

Role Posting Log in to save

The Senior AI Data Engineer role at Lockheed Martin involves designing and maintaining secure data infrastructure for mission-critical, classified programs. This position requires building scalable data pipelines and architectures that support both batch and real-time processing in restricted environments, using technologies like RDF, SPARQL, and graph databases such as Neptune or Stardog. The engineer will collaborate with data scientists to operationalize AI models, ensuring rigorous data governance and security compliance. Key skills include Python, NiFi, SQL, and experience with distributed data frameworks like Spark. Ideal candidates have a background in secure cloud environments and familiarity with DoD/IC data platforms and compliance standards such as RMF and NIST 800-53.

Skills

Python NiFi SQL Spark RDF SPARQL Docker AWS_GovCloud Azure_Government Neptune Stardog Blazegraph Kafka RFM NIST_800_53 CI/CD

What you'll do

  • Design and maintain secure data pipelines for classified AI/ML workloads.
  • Develop data architectures supporting batch and real-time processing in restricted environments.
  • Implement ontology-driven data models to support knowledge representation and reasoning.
  • Query semantic data stores using RDF and SPARQL technologies effectively.
  • Manage data ingestion, transformation, and storage across secure platforms, including graph databases.

What we're looking for

  • 5+ years of data engineering experience, including 2+ years in AI/ML systems.
  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field.
  • Hands-on experience with semantic technologies like RDF, OWL, and SPARQL.
  • Strong proficiency in Python, NiFi, SQL, and distributed data processing frameworks.
  • Experience designing secure data pipelines for classified environments.
  • Understanding of data security principles and compliance with security requirements.

Related searches

More AI Data Engineer Staff jobs AI Data Engineer Staff jobs in Fort Worth All jobs at Lockheed Martin

More like this

Similar roles

Senior Data Engineer, AI & Analytics Infrastructure

IBM

Dallas, TX 29 days ago
Azure AWS Databricks Azure Synapse Analytics Snowflake Microsoft Fabric Azure Data Factory Azure Data Lake AWS S3 AWS Glue ETL ELT CI/CD Data Governance MLOps Event Hubs Metadata Management Observability Monitoring Python SQL
Save

Senior Data Engineer, AI & Analytics Infrastructure

IBM

Chicago, IL 29 days ago
Azure AWS Databricks Azure Synapse Analytics Microsoft Fabric Snowflake Azure Data Factory Azure Data Lake AWS S3 AWS Glue ETL ELT CI/CD Data Governance Metadata Management Event Hubs MLOps Feature Engineering Infrastructure-as-Code
Save

Staff Data Engineer, AI & Cloud

General Motors (GM)

Austin, TX 11 days ago $160,000–$211,950
Python SQL Apache Spark Kafka Hadoop Azure AWS GCP Docker Kubernetes CI/CD DataBricks NoSQL PostgreSQL Terraform Prometheus Grafana GitLab Jenkins
Hybrid
Save

Data Engineering Manager

Microsoft

101 days ago $139,900–$274,800
Python Java Spark SQL Apache_Hadoop Kafka NoSQL CI/CD Docker Kubernetes AWS Azure Google_Cloud_Platform Git Jenkins Terraform Prometheus Grafana PostgreSQL MSSQL Data_Governance Data_Security
Hybrid
Save