Overview
On Site
USD 160,001.00 - 200,000.00 per year
Full Time
Skills
Security Clearance
Intelligence Analysis
Training
Analytical Skill
DevOps
Administrative Support
Software Engineering
IT Service Management
Data Collection
Data Cleansing
Data Storage
Statistics
Data Mining
Predictive Modelling
Machine Learning (ML)
Natural Language Processing
Business Intelligence
Data Validation
Data Quality
Regulatory Compliance
Data Governance
Data Wrangling
Visualization
Programming Languages
Analytics
Big Data
Agile
Extract
Transform
Load
PySpark
Microsoft SQL Server Management Studio (SSMS)
Python
Java
SQL
NoSQL
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Apache Hadoop
Apache Spark
Information Technology
Systems Engineering
FOCUS
Job Details
Job ID: 2508088
Location: WASHINGTON, DC, US
Date Posted: 2025-08-01
Category: Information Technology
Subcategory: Big Data Engineer
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: TS/SCI with Poly
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: No
Description
SAIC, a leading provider of systems engineering & integration, systems development & deployment, intelligence analysis and targeting, and training solutions for the Intelligence Community, is seeking creative and dedicated professionals to fulfill their career goals and objectives while delivering mission excellence on programs of
SAIC is seeking Big Data Engineers to join the Machine-assisted Analytic Rapid-repository System (MARS) Advanced Development Operations (DevOps) and Sustainment Support (ADOS) program and provide on-site technical and administrative support to facilitate operations of critical MARS infrastructure and services. This effort focuses on providing a comprehensive set of System/ Software Engineering and IT Services to maintain, sustain, enhance, and improve/ modernize MARS.
The ideal candidate will be located in the National Capital Region.
Please note that this is contingent upon contract award, with an anticipated decision expected by fall 2025.
The Big Data Engineer responsibilities include, but are not limited to:
Qualifications
Level II: Bachelors and 5-8 years of experience or an additional 4 years of experience in lieu of degree
Level III: Bachelors and 9-17 years of experience or an additional 4 years in lieu of degree
Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
Location: WASHINGTON, DC, US
Date Posted: 2025-08-01
Category: Information Technology
Subcategory: Big Data Engineer
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: TS/SCI with Poly
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: No
Description
SAIC, a leading provider of systems engineering & integration, systems development & deployment, intelligence analysis and targeting, and training solutions for the Intelligence Community, is seeking creative and dedicated professionals to fulfill their career goals and objectives while delivering mission excellence on programs of
SAIC is seeking Big Data Engineers to join the Machine-assisted Analytic Rapid-repository System (MARS) Advanced Development Operations (DevOps) and Sustainment Support (ADOS) program and provide on-site technical and administrative support to facilitate operations of critical MARS infrastructure and services. This effort focuses on providing a comprehensive set of System/ Software Engineering and IT Services to maintain, sustain, enhance, and improve/ modernize MARS.
The ideal candidate will be located in the National Capital Region.
Please note that this is contingent upon contract award, with an anticipated decision expected by fall 2025.
The Big Data Engineer responsibilities include, but are not limited to:
- Construct robust data pipelines and prepare data for consumption by data scientists, analysts, and various other data systems.
- Perform the pre-analytics areas of data collection and understanding, data cleansing and integration, and data storage and retrieval.
- Determine the appropriate analytics based on data and desired outcomes, using techniques including feature detection, statistics, data mining, predictive modeling, machine learning, natural language processing, and business intelligence.
- Ensure the quality, reliability, and security of data through the implementation of data validation rules, the development of data quality monitoring systems, and ensuring compliance with data governance policies.
- Interpret the validity of results by following a scientific approach to generate value from data and communicate outcomes with key stakeholders.
Qualifications
- Active TS/SCI with Polygraph
- Familiarity with data wrangling, analytics, and visualization software and programming languages, including analytics methods of big data.
- Experience working in an Agile environment.
- Experience with ETL pipelines, pyspark, SSMS, data preprocessing, and data ingestion.
- Experience translating business requirements into conceptual, logical, and physical data models.
- Familiarity with Python, Java, SQL, NoSQL, AWS, Azure, Google Cloud Platform, Hadoop, and Spark.
Level II: Bachelors and 5-8 years of experience or an additional 4 years of experience in lieu of degree
Level III: Bachelors and 9-17 years of experience or an additional 4 years in lieu of degree
Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
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.