Overview
On Site
Full Time
Skills
Security Clearance
Big Data
Database
Agile
Legacy Systems
Business Intelligence
Data Flow
Research Design
Statistical Models
Advanced Analytics
Analytical Skill
Finance
Health Care
Supply Chain Management
Dashboard
Analytics
Evaluation
Training
Data Modeling
Extract
Transform
Load
PySpark
Microsoft SQL Server Management Studio (SSMS)
Science
Information Technology
Systems Engineering
FOCUS
Job Details
Job ID: 2507187
Location: RESTON, VA, US
Date Posted: 2025-07-08
Category: Information Technology
Subcategory: Metrics and Data
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: None
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: No
Description
Big Data Engineer Principal to work in Reston VA :
Roles and Responsibilities:
Qualifications
Requires a Bachelor's degree in Enterprise Analytics (or equivalent based on evaluation of academic credentials, training and/or experience) as well as twelve (12) months in job or job related experience to include assess the effectiveness and accuracy of new data sources and data gathering techniques with expertise delivery; interact with the business and Data Engineers and collect the requirements for data model for the target system and from the current system; assess the effectiveness and accuracy of new data sources and data gathering techniques with expertise delivery; use ETL pipelines, pyspark, SSMS, data preprocessing, and data ingestion. Opportunity to work from home. Full-time position at 40 hours/week, Monday through Friday 8:00 a.m. to 5:00 p.m. Apply , Science Applications International Corporation. Job code # 2507187. EOE.
Location: RESTON, VA, US
Date Posted: 2025-07-08
Category: Information Technology
Subcategory: Metrics and Data
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: None
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: No
Description
Big Data Engineer Principal to work in Reston VA :
Roles and Responsibilities:
- Develop and design the application data. Develop and build optimal databases using an agile-like environment to store data coming from legacy systems and provide bi-directional dataflow.
- Interact with the business and Data Engineers and collect the requirements for data model for the target system and from the current system.
- Translate business requirements into conceptual, logical, and physical data models.
- Research, design, develop and implement detailed statistical models, and advanced analytics to support key strategic initiatives.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques with expertise delivery.
- Develop processes and tools to monitor and analyze analytical model performance and data accuracy, providing ad-hoc analysis and visualizations.
- Focus on developing financial, healthcare and supply chain dashboards.
- Use ETL pipelines, pyspark, SSMS, data preprocessing, and data ingestion.
Qualifications
Requires a Bachelor's degree in Enterprise Analytics (or equivalent based on evaluation of academic credentials, training and/or experience) as well as twelve (12) months in job or job related experience to include assess the effectiveness and accuracy of new data sources and data gathering techniques with expertise delivery; interact with the business and Data Engineers and collect the requirements for data model for the target system and from the current system; assess the effectiveness and accuracy of new data sources and data gathering techniques with expertise delivery; use ETL pipelines, pyspark, SSMS, data preprocessing, and data ingestion. Opportunity to work from home. Full-time position at 40 hours/week, Monday through Friday 8:00 a.m. to 5:00 p.m. Apply , Science Applications International Corporation. Job code # 2507187. EOE.
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