below marketmost similar roles pay hereabove market
This role pays more than
50%
of similar roles. Most pay
$129,468–$208,800
— the blue band above.
At the midpoint, this role pays about
$165k
versus about
$169k
for comparable roles.
Based on 240 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
1364 open roles
on FindRole.
Listed pay typically runs
$124,093–$150,385
across 1165 roles with salary data.
JOB TITLE: Databricks Engineer
The Databricks Engineer joins the data science and data engineering team to build and operate modern data solutions supporting the NIA Data Enclave. In this role, you will design, develop, and optimize scalable ETL/ELT pipelines, maintain Databricks notebooks and workflows, and migrate existing workloads to improve performance and maintainability. You will be responsible for data ingestion, transformation, validation, and integration processes while ensuring data quality and security. The position requires proficiency with Databricks, PySpark, SQL, Delta Lake, Spark, Databricks Lakeflow, and Databricks Unity Catalog. You will also utilize Git, CI/CD tools like Azure DevOps or GitHub Actions, and cloud storage such as AWS S3 or Azure Data Lake Storage. This work involves managing sensitive federal and non-federal datasets within secure, role-based cloud environments.
Design, build, and optimize scalable ETL/ELT pipelines using Databricks, PySpark, SQL, and Delta Lake.
Develop and maintain Databricks notebooks, jobs, and workflows to support high-volume analytical workloads.
Build reliable data ingestion, transformation, validation, and integration processes.
Optimize Spark workloads through partitioning, caching, joins, and other performance-tuning techniques.
Implement automated testing, data quality checks, monitoring, logging, and operational processes.
Support CI/CD and infrastructure automation for Databricks workloads using Git and Azure DevOps or GitHub Actions.
Configure and optimize Databricks compute, clusters, runtimes, and job execution.
Troubleshoot production issues and perform root-cause analysis to improve data service reliability.
What we're looking for
Bachelor's degree in computer science, software engineering, data engineering, or a related technical field.
7+ years of related experience.
5+ years of data engineering experience, including significant hands-on experience with Databricks.
Strong experience with PySpark, SQL, Apache Spark, Delta Lake, and Databricks.
Experience developing production-grade data pipelines and workflows using cloud-based platforms like AWS S3, Azure Data Lake Storage, or Google Cloud Storage.
Experience with Git and CI/CD practices for deploying and managing data engineering workloads.
Experience with Databricks Unity Catalog and enterprise data governance (preferred).
Experience with Databricks Lakeflow Declarative Pipelines / Delta Live Tables (preferred).