Overview
On Site
Full Time
Skills
Analytics
Extract
Transform
Load
Data Quality
Apache Hadoop
Apache Spark
Security Clearance
Data Science
Statistics
Computer Science
Data Engineering
SQL
Python
Apache Kafka
Cloud Computing
Amazon Web Services
Microsoft Azure
Databricks
DoD
Information Technology
Systems Engineering
FOCUS
Job Details
Job ID: 2510081-ARLINGTON-VA
Location: ARLINGTON, VA, US
Date Posted: 2025-09-22
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: Interim Secret
Clearance Level Must Be Able to Obtain: Secret
Potential for Remote Work: Yes
Description
J oin SAIC in supporting our enterprise data and analytics initiatives. As a Data Engineer, power the data. As a Data Engineer, you'll build and maintain ETL pipelines, ensure data quality, and support environments like Databricks, Hadoop, and Spark.
This position is contingent upon award expected September 2025. Position will be located in Washington, DC at the customer site. May offer remote work upon award.
Duties and Responsibilities:
Qualifications
Education and Experience:
Preferred Qualifications:
Location: ARLINGTON, VA, US
Date Posted: 2025-09-22
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: Interim Secret
Clearance Level Must Be Able to Obtain: Secret
Potential for Remote Work: Yes
Description
J oin SAIC in supporting our enterprise data and analytics initiatives. As a Data Engineer, power the data. As a Data Engineer, you'll build and maintain ETL pipelines, ensure data quality, and support environments like Databricks, Hadoop, and Spark.
This position is contingent upon award expected September 2025. Position will be located in Washington, DC at the customer site. May offer remote work upon award.
Duties and Responsibilities:
- Design and maintain data pipelines and environments for initiatives
- Build and maintain ETL pipelines
- Ensure data quality and integrity
- Support Databricks, Hadoop, Spark environments
- Integrate cloud-based data tools
Qualifications
Education and Experience:
- Active Secret Clearance, or ability to acquire one
- Bachelor's degree in data science, statistics, computer science, or related, or equivalent and 5+ years of related experience
- 5+ years of data engineering experience
- Proficient in SQL, Python, Apache Kafka/Airflow
- Cloud experience (AWS Glue, Azure Data Factory)
Preferred Qualifications:
- Databricks certification
- DHS/DoD background
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.