Sr. Data Engineer FULL TIME REMOTE

WHAT WERE DOING

Lockheed Martin is partnering with PG&E, Salesforce, and Wells Fargo to deliver EMBERPOINT, an initiative designed to transform wildfire prevention, detection, and response across the United States.

EMBERPOINT integrates advanced sensing technologies, artificial intelligence, and real-time command-and-control capabilities to help detect wildfires earlier, prevent escalation, and improve coordination between first responders, utilities, and emergency management organizations.

To support this mission, we are building a scalable cloud-based data platform that enables rapid ingestion, storage, and analysis of large volumes of operational and sensor data. We are seeking an experienced Data Engineer to drive the orchestration of data ingestion, storage, and movement.

THE WORK

As a Data Engineering, you will will design, build, and operate the data pipelines that ingest, transform, catalog, and serve EMBERPOINT data platform and its AI/ML, Unified HMI, and commandandcontrol (C2) applications. This role works closely with the AWS Infrastructure Architect, AI/ML Engineers, Software Factory, MBSE team (CameoDOORSNEXT), and the Advisory Board to ensure data quality, security, and performance across the endtoend mission workflow (DetectionPredictionResponseRecovery).

These databases will integrate with streaming ingestion pipelines and data lake services to enable real-time analytics, operational applications, and predictive wildfire intelligence.

You will work closely with data engineering, platform engineering, and application development teams to ensure the platform delivers high availability, strong performance, and secure data management.

WHO WE ARE

Our team is building the cloud and data infrastructure that powers next-generation wildfire detection and response technologies. We work at the intersection of cloud engineering, large-scale data platforms, and mission-driven technology designed to protect communities and critical infrastructure.

We value engineers who combine strong operational expertise with a systems perspective and who enjoy building reliable, scalable data services.

WHO YOU ARE
A self-starter
Experienced Data Engineer
An engineer committed to delivering high quality, cutting edge technology to be used by our customers and allies across the country and world
Are comfortable working across teams to ensure data remains secure, performant, and aligned with evolving platform architecture. You enjoy solving complex data infrastructure challenges and enabling analytics and applications to operate at scale.3+years professional dataengineering experience;
SQL and Oracle experience
1years designing and operating AWSnative data lakes for missioncritical or highvolume workloads.
B.S.Computer Science, Data Science, Information Systems, or related field (M.S.preferred).
AWS knowledge
Proven experience in SAFe/Agile environments, working with crossfunctional teams (AI/ML, UX, Systems Engineering).Deep knowledge of S3, Glue, Lake Formation, Kinesis, MSK, Redshift, Athena, QuickSight, Lambda, Step Functions, IAM, KMS
Handson with AWS Glue, Spark, DBT, Airflow (or Managed Workflows for Apache Airflow)..
Proficient in Python (PySpark, Boto3), Scala, SQL, and Shell/Bash.
Experience integrating MBSE data from Cameo DOORSNEXT into datalake pipelines.
Knowledge of AI/ML data pipelines (SageMaker Feature Store, modelartifact versioning).
Experience with data ingestion, Object Storage and data paths, ingest orchestration, ETL, relational and non-relational database with autonomousDB