Data Modeler

Bespoke Technologies, Inc.; McLean (VA); On-site; USD 110,000 - 160,000; Full time

Job summary

Bespoke Technologies, Inc. seeks a data analytics professional in McLean, VA to support mission-critical analytic programs. The role emphasizes ECL/HPCC expertise, large-scale data processing, and strong troubleshooting in a SOP-driven environment.

You will manipulate high-volume data, develop analytic reporting, and provide direct user support while ensuring system availability and performance for sponsor operations.

Qualifications

• Minimum 5 years of experience with ECL and HPCC.
• Experience applying analytic judgment to sponsor data across mission spaces.
• Ability to manipulate high-volume structured and unstructured data for reporting.
• Experience using languages such as Python, C, and SQL to perform large-scale processing.
• Experience developing and validating methodologies for analytic requirements in clustered computing.
• Education or practical experience in a STEM field.

Responsibilities

• Provide analytic targeting support across sponsor mission areas.
• Generate analytic reports and products from large datasets.
• Monitor system performance and data flows to ensure reliability.
• Support system availability in mission-critical operations.
• Assist users through tickets and service desk interactions.
• Document SOPs and sustainment activities.

Skills

Analytic techniques

High-volume data analysis

Python programming

SQL querying

C programming

Parallel processing

System monitoring

Troubleshooting

User support

SOP compliance

System administration familiarity

Mission-critical availability

Education

STEM degree

Tools

ECL/HPCC

Python

SQL

Job description

• 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 Sponsor across a spectrum of mission spaces to include applying analytic judgement to data presented.
• Demonstrated experience manipulating high-volume structured and unstructured data to perform analysis and generate sound mission relevant analytic reporting/products.
• Demonstrated experience using computer languages (e.g., Python, C, SQL) to perform large scale parallel processing of the sponsors 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.
• 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 mission-critical operations