This role pays less than
62%
of similar roles. Most pay
$157,000–$214,550
— the shaded band above.
At the midpoint, this role pays about
$170k
versus about
$186k
for comparable roles.
Based on 239 similar postings.
Employer
About General Dynamics
General Dynamics is a global aerospace and defense company offering a broad portfolio of products and services in business aviation, ship construction, land combat vehicles, and information technology. It serves customers in the U.S. government, allied governments, and a diverse array of commercial markets.
General Dynamics currently has
1123 open roles
on FindRole.
Listed pay typically runs
$124,093–$150,385
across 984 roles with salary data.
As a Data Engineer Senior Principal, you will join the engineering team to modernize data architecture for a Department of War client. You will provide technical leadership and mentorship while designing and delivering advanced data solutions to enhance warfighter readiness and decision-making. Your daily responsibilities include researching tools for hybrid environments, collaborating with migration teams on architectural designs, and leading a small team in developing dynamic visual dashboards using live data. The role requires expertise in AWS, Microsoft Azure, SQL databases, Python scripting, and S3/Block Storage integration. You will work with big data technologies like Presto, Hive, Spark, or Flink, alongside workflow management engines such as Airflow or AWS Step Functions. Additionally, you will manage ETL/ELT pipelines and deploy containerized microservices within Kubernetes infrastructure to solve complex data modernization challenges in a defense context.
What does a Data Engineer earn?
Median $183138 from 214 postings across 58 companies.
Design and deliver advanced cloud-based data architectures to support mission-critical operations.
Research and recommend technical tools based on current environment analysis of on-premises, cloud, and hybrid resources.
Collaborate with migration teams to implement strategy and architecture designs.
Lead a team in developing dynamic visual dashboards using live data based on customer requirements.
Establish sprint cadences and maintain status dashboards in coordination with government project managers.
Manage the development of ETL/ELT pipelines and infrastructure components for data lakes and warehouses.
Optimize cloud environments by managing costs, scaling resources, and leveraging native cloud capabilities.
What we're looking for
Must be a U.S. citizen.
Must possess or be able to obtain a Secret clearance.
Master's degree in computer science or a related field.
10+ years of related experience.
Experience with SQL databases, Python scripting, and S3/Block Storage integration.
3-5 years of experience with big data technologies (Presto, Hive, Spark, Flink), infrastructure components, ETL/ELT pipelines, and workflow management engines.
Experience with AWS, Microsoft Azure, Linux, UNIX, Windows systems, and deploying containerized microservices in Kubernetes.
Experience with PowerBI, STIGs, defense cloud environments, Splunk/ELK, or TAK infrastructure (preferred).