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# Sr. Data Engineer FULL TIME REMOTE

- **Company:** Lockheed Martin
- **Location:** Colorado Springs, CO, United States (Remote available)
- **Experience:** Expert
- **Salary:** $107,300.0 - $185,840.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Systems Engineering, Bash Shell, Big Data, Cloud Engineering, Information Systems, Databases, Data as a Services, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Security, Identity and Access Management, Python (Programming Language), Machine Learning, Oracle (Applications), Software Engineering, Software Factory, SQL Databases, Management of Software Versions, Data Ingestion, System Availability, Apache Spark, Boto3, Data Lakes, Pyspark, Information Technology, AWS Glue, Non-relational Database, Data Pipelines
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=5e4bb01a506dab71

## About the Role

* 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 data-engineering experience;
SQL and Oracle experience

 * 1 years designing and operating AWS-native data lakes for mission-critical or high-volume 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 cross-functional teams (AI/ML, UX, Systems Engineering).

Desired Skills:
Deep knowledge of S3, Glue, Lake Formation, Kinesis, MSK, Redshift, Athena, QuickSight, Lambda, Step Functions, IAM, KMS
Hands-on 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 DOORS NEXT into data-lake pipelines.
Knowledge of AI/ML data pipelines (SageMaker Feature Store, model-artifact versioning).
Experience with data ingestion, Object Storage and data paths, ingest orchestration, ETL, relational and non-relational database with autonomousDB

## Description

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 command-and-control (C2) applications. This role works closely with the AWS Infrastructure Architect, AI/ML Engineers, Software Factory, MBSE team (Cameo DOORS NEXT), and the Advisory Board to ensure data quality, security, and performance across the end-to-end mission workflow (Detection Prediction Response Recovery).

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.


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