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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in SQL and Python for data engineering, with a strong focus on credit bureau operations, data validation, and troubleshooting. Proven ability to communicate technical findings effectively and collaborate with cross-functional teams, including Engineering and Compliance.
Highest-signal resume keywords
Advanced SQL SkillsStrong Python SkillsData Pipeline OwnershipAutomated Testing ExperienceExperience with Large Language Models
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonData EngineeringData ValidationData ProfilingTroubleshootingData ReconciliationAutomated TestingData WorkflowsData Transformation
Soft Skills
Business JudgmentCommunication SkillsProblem-SolvingIndependent InvestigationCollaboration
Tools & Technologies
Version ControlCode ReviewMonitoring ToolsAutomated Testing ToolsClaude or Equivalent Tools
Industry Keywords
Credit Bureau FurnishingData OperationsComplianceCustomer ServiceData Defects
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Own recurring credit bureau furnishing operations, including data preparation, validation, submissions, bureau feedback, exception resolution, and reconciliation
- Build, maintain, and debug SQL transformations, Python scripts, and data pipelines that produce credit reporting data
- Trace discrepancies from account activity and source records through transformation logic to furnished outputs; identify root causes and implement lasting fixes
- Investigate Customer Service escalations, explain account data and approved reporting requirements, and provide evidence for dispute responses
- Identify accounts affected by reporting defects, implement corrections and controlled reprocessing, and verify reporting outcomes
- Develop automated tests, reconciliations, monitoring, and alerts to catch inaccurate, incomplete, duplicate, or unexpected reporting before submission
- Partner with Engineering on production service or consumer app defects, providing reproducible examples, affected-account analysis, requirements, and fix validation
- Work with Compliance to translate approved reporting requirements into technical rules and escalate ambiguous scenarios
- Document reporting logic, data lineage, procedures, and incident resolutions
Requirements
What you’ll need- Degree in computer science, engineering, data science, or a related quantitative discipline
- 5+ years of relevant experience in data engineering or software engineering, including hands-on ownership of production data pipelines and operational workflows
- Advanced SQL skills, including complex joins, account-level reconciliation, data profiling, and troubleshooting transformation logic
- Strong Python skills, including reading unfamiliar code, debugging existing scripts, and implementing maintainable fixes
- Ability to independently investigate ambiguous problems, prioritize recurring operations and incidents, and carry issues through to verified resolution
- Experience with version control, code review, automated testing, monitoring, and safe deployment and reprocessing of data workflows
- Track record of tracing data defects across systems and preventing recurrence
- Strong business judgment and communication skills; ability to explain technical findings to Customer Service and Compliance and work effectively with Engineering
- Fluent in English
- Demonstrated experience working with Claude or equivalent large language model tools is required; comfortable leveraging AI to enhance productivity, research, and communication