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# Data Warehouse Engineer

- **Company:** CYMERTEK CORPORATION
- **Location:** Chantilly, VA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Cloud Computing, Cloud Database, Cyber Security, Information Systems, Information Technology Consulting, Databases, Data Architecture, Data Files, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Security, Data Systems, Data Warehousing, Relational Databases, Web Servers, Internet Security, Machine Learning, NoSQL, Performance Tuning, Software Engineering, SQL Databases, Unstructured Data, Data Processing, Flexi (Photoshop Plugin), Data Storage Technologies, Information Technology, Data Management, Stream Processing, Data Pipelines
- **Published:** September 21, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-warehouse-engineer-chantilly-va--b2361688-66ea-4208-978a-f64f1d476acf

## About the Role

SIMILAR CAREER TITLESData Engineer, ETL Developer, Data Architect, Business Intelligence Engineer, Data Integration Engineer, Database Engineer, Data Systems Engineer, Analytics Engineer, Big Data Engineer, Data Infrastructure Engineer, ect.DEGREE (Level Desired)Bachelor's DegreeDEGREE (Focus)Computer Science, Information Systems, Data Science, Software Engineering, Mathematics, Statistics, Database Management, Information Technology, Business Analytics, Applied Science, ect.ALTERNATE EXPERIENCEGeneral comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit.POSITION RESPONSIBILITIES

 * Experience with data warehouse architecture
 * Proficiency in ETL tools and processes
 * Ability to design and implement data models
 * Expertise in data integration and transformation
 * Strong knowledge of database management systems
 * Understanding of data governance and compliance, * Proficiency in SQL and relational databases
 * Familiarity with cloud-based data warehouses
 * Expertise in data quality management
 * Experience with data pipeline orchestration
 * Strong understanding of data warehousing concepts
 * Skill in performance tuning of data systems

DESIRED SKILLS

 * Knowledge of NoSQL databases
 * Experience with real-time data processing
 * Familiarity with business intelligence tools
 * Understanding of data security protocols
 * Experience in handling unstructured data
 * Familiarity with machine learning integration, Analysis Skills, Best Practices, Business Growth, Business Intelligence Software, Cloud Computing, Cross-Functional, Data Management, Data Modeling, Data Processing, Data Quality, Data Sets, Data Storage, Data Warehousing, Database Extract Transform and Load (ETL), Database Management Software/Systems (DBMS), Detail Oriented, Federal Contracts, Flexible Spending Accounts, Information Technology Consulting, Information/Data Security (InfoSec), Internet Security, Leadership, Leading Edge Technology, Life Insurance, Machine Learning, NoSQL, Performance Tuning/Optimization, Quality Management, Relational Databases (RDBMS), SQL Databases, Security Protocols, Small Business, Unstructured Data, Web Client Plug-ins

## Description

LOCATIONChantilly, VA 20151CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship)KEY SUMMARYWe are looking for a detail-oriented and innovative Data Warehouse Engineer to join our team and help design, build, and maintain high-performance data warehousing solutions. In this role, you will collaborate with cross-functional teams to structure and optimize large-scale data environments, ensuring efficient data integration, storage, and accessibility for analytics and reporting. You will be responsible for implementing ETL processes, maintaining data quality, and ensuring the scalability of our data warehouse systems. The ideal candidate has a strong foundation in data modeling, data architecture, and best practices for managing large datasets, with a passion for driving data-driven decision-making. If you are excited about working with complex data systems and creating robust data infrastructure, we want to hear from you.


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