Data Modeler

Bespoke Technologies, Inc.; McLean (VA); On-site; USD 90,000 - 130,000; Full time

Job summary

Bespoke Technologies, Inc. is looking for a Data Modeler in McLean, VA. The role requires an active Poly clearance and involves significant responsibilities including performing large-scale data processing and providing user support.

The ideal candidate will have at least 5 years of experience in ECL, strong analytic skills, and the ability to diagnose issues in various applications and systems. This position is fully on-site with no remote option available.

Qualifications

• Minimum 5 years of experience with ECL.
• Experience manipulating high-volume structured and unstructured data.
• Strong diagnostic and troubleshooting skills across applications/systems.

Responsibilities

• Perform large scale parallel processing of data.
• Support users directly through tickets and service desk interactions.
• Monitor systems for message flow and performance issues.

Skills

ECL

Analytic techniques and tools

Python

C

SQL

Education

STEM degree or practical experience

Job description

BT-313 - Data Modeler

Skill Level: Subject Matter Expert

Location: McLean, VA (fully on-site, no remote option)

Please do NOT apply if you do not have an active Poly clearance. Those without a Poly will not be considered.

• Demonstrated experience with ECL and HPCC (5 years minimum in ECL)
• Demonstrated experience using analytic techniques and tools performing technical targeting analytic support for this organization across a spectrum of spaces to include applying analytic judgement to data presented.
• Demonstrated experience manipulating high-volume structured and unstructured data to perform analysis and generate sound relevant analytic reporting/products.
• Demonstrated experience using computer languages (e.g., Python, C, SQL) to perform large scale parallel processing of data. These languages complement ECL.
• Demonstrated experience performing large scale parallel processing of data, and developing, validating, and using methodologies to support analytic requirements in Clustered Computing environments
• Educational or practical experience in a STEM (Science, Technology, Engineering or Mathematics) field.
• Tier 1/2 support (incident response, troubleshooting, user support)
• System monitoring (message flow, failures, performance issues)
• Experience with high-volume data environments (structured & unstructured)
• Strong diagnostic and troubleshooting skills across applications/systems
• Experience working within SOP-driven environments (documentation, updates, compliance)
• Ability to support users directly (tickets, service desk interactions)
• Familiarity with system administration and application sustainment
• Supporting system availability in critical operations