Data Warehouse Engineer: ETL & Data Architecture Expert

Cymertek Corporation; Maryland; On-site; USD 90,000 - 140,000; Full time

Benefits offered by this job

Excellent Salaries

Flexible Work Schedule

Cafeteria Style Benefits

10% - 401k Matching (Vested Initially)

Additional 401k Profit Sharing

30 days Paid Leave/Holiday (No Use or 

Birthday day off

Medical/Dental/Vision - 100% employee 

HSA/FSA

AFLAC

Disability Insurance - 100% employee

Life Insurance - 100% employee

Discretionary Life Insurance

Paid Training

Referral bonus program

Job summary

Cymertek Corporation is seeking a Data Warehouse Engineer in Annapolis Junction, MD to design, build, and maintain scalable data warehousing solutions. You will collaborate with cross-functional teams to structure data environments, implement ETL processes, and ensure data quality for analytics and reporting.

Ideal candidates will have a strong foundation in data modeling, architecture, and best practices for handling large datasets, enabling data-driven decisions.

Qualifications

• Bachelor's degree in a relevant field.
• Experience with data warehousing and ETL in large-scale environments.
• Knowledge of data governance and compliance.

Responsibilities

• Experience with data warehouse architecture
• Proficiency in ETL tools and processes
• Design and implement data models
• Data integration and transformation
• Database management systems
• Understanding of data governance and compliance

Skills

SQL

Relational databases

Cloud data warehouses

Data quality management

ETL orchestration

Data warehousing concepts

Performance tuning

Education

Bachelor's Degree

CS/IT/Data Science focus

Job description

Cymertek Corporation is seeking a Data Warehouse Engineer in Annapolis Junction, MD to design, build, and maintain scalable data warehousing solutions. You will collaborate with cross-functional teams to structure data environments, implement ETL processes, and ensure data quality for analytics and reporting.

Ideal candidates will have a strong foundation in data modeling, architecture, and best practices for handling large datasets, enabling data-driven decisions.