Data Modeler

Bespoke Technologies, Inc

$100K — $130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of ECL experience with HPCC platform.
  • Proficient in analytic techniques for technical targeting support.
  • Skilled in manipulating high-volume structured and unstructured data.
  • Experience in programming languages such as Python, C, and SQL.
  • Proven ability in large scale parallel processing in clustered computing environments.
  • Background in a STEM field, through education or practical experience.

Responsibilities

  • Provide Tier 1/2 support including incident response and troubleshooting.
  • Monitor systems for message flow, failures, and performance issues.
  • Analyze high-volume data environments to support decision-making.
  • Diagnose and troubleshoot issues across multiple applications and systems.
  • Support user interactions through tickets and service desk communications.
  • Contribute to documentation and compliance in SOP-driven environments.
  • Ensure system availability for critical operations.

Benefits

  • Fully on-site work environment in McLean, VA.
  • Involvement in high-impact projects requiring a Poly clearance.
  • Opportunities to work with advanced analytic tools and methodologies.
Full 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.**

Required Skills:
  • 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

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