Data Warehouse Engineer | Flexible Schedule & Top Benefits

Cymertek Corporation; Reston (VA); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

Excellent Salaries

Flexible Schedule

401k Matching

Paid Leave/Holidays

Birthday day off

Job summary

Cymertek Corporation is seeking a Data Warehouse Engineer in Reston, VA. The role focuses on designing, building, and maintaining high‑performance data warehousing solutions to support analytics and reporting.

You will implement ETL processes, ensure data quality, and scale data warehouse systems while collaborating with cross‑functional teams. The ideal candidate has expertise in data modeling and data architecture, with a passion for data‑driven decision making and an ability to work with

Qualifications

• Bachelor's degree required or 4–5 years of experience in lieu of degree per contracts.
• Experience with data warehouse architecture and ETL tooling.
• Ability to design and implement data models and schemas.
• Strong knowledge of data integration, transformation, and DBMS.
• Familiarity with data governance and compliance requirements.
• Experience with scalable data warehousing for analytics.

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.

Skills

SQL

Relational databases

Cloud data warehouses

Data quality management

Data pipeline orchestration

Data warehousing concepts

Performance tuning

Data governance

Education

Bachelor's Degree

Job description

Cymertek Corporation is seeking a Data Warehouse Engineer in Reston, VA. The role focuses on designing, building, and maintaining high‑performance data warehousing solutions to support analytics and reporting.

You will implement ETL processes, ensure data quality, and scale data warehouse systems while collaborating with cross‑functional teams. The ideal candidate has expertise in data modeling and data architecture, with a passion for data‑driven decision making and an ability to work with