Data Modeler

Cymertek • Reston, VA

1d

About The Position

We are seeking a detail-oriented and innovative Data Modeler to join our team and help design and maintain efficient data structures for our organization. In this role, you will be responsible for translating complex business requirements into data models that support decision-making, reporting, and analytics. You will work closely with data engineers, analysts, and other stakeholders to ensure data is organized and accessible across multiple platforms and systems. If you have a passion for data architecture and enjoy solving complex problems to optimize data flows, we’d love to have you as part of our team. Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positons. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals. We look forward to you joining our family.

Requirements

• Proficiency in data modeling tools (e.g., Erwin, IBM InfoSphere)
• Strong SQL skills and knowledge of relational databases
• Familiarity with data governance and quality standards
• Understanding of ETL processes and data pipelines
• Experience with cloud-based data storage solutions
• Ability to collaborate with cross-functional teams

Nice To Haves

• Experience with NoSQL databases (e.g., MongoDB, Cassandra)
• Knowledge of big data technologies (e.g., Hadoop, Spark)
• Familiarity with data visualization tools (e.g., Tableau)
• Experience with data modeling for machine learning
• Understanding of data privacy and compliance regulations
• Ability to optimize data models for performance

Responsibilities

• Strong understanding of data modeling concepts
• Ability to design logical and physical data models
• Experience in database design and management
• Proficiency in data normalization and denormalization
• Knowledge of data warehousing concepts
• Ability to work with large and complex datasets

Benefits

• Excellent Salaries
• Flexible Work Schedule
• Cafeteria Style Benefits
• 10% - 401k Matching (Vested Immediately)
• Additional 401k Profit Sharing
• 30 days Paid Leave/Holiday (No Use or Lose!)
• The day off for your birthday
• Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus)
• HSA/FSA
• AFLAC
• Long Term/Short Term Disability - 100% employee coverage. No cost to you.
• Life Insurance - 100% employee coverage. No cost to you.
• Additional Discretionary Life Insurance
• Paid Training
• Referral bonus program with recurring annual payments

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level