Senior Data Engineer, Credit Reporting

Sezzle

. Own recurring credit bureau furnishing operations, including data preparation, validation, submissions, bureau feedback, exception resolution, and reconciliation .

Posted 11/3/2026full-timeRemoteSenior💰 $4,500 - $6,000 per monthWebsite

Core Competencies

Role fit

Core 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 reporting accuracy. Proven ability to troubleshoot complex data issues and collaborate with cross-functional teams to ensure compliance and operational excellence.

Highest-signal resume keywords

Advanced SQL SkillsStrong Python SkillsData Pipeline OwnershipCredit Reporting ExperienceAutomated Testing and Monitoring

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

SQLPythonData EngineeringData ValidationData ProfilingTroubleshootingAutomated TestingData ReconciliationVersion ControlCode Review

Soft Skills

Problem-SolvingBusiness JudgmentCommunication

Tools & Technologies

ClaudeDbtRedshiftPostgreSQLAWSE-OSCARWorkflow Scheduling Tools

Industry Keywords

Credit ReportingConsumer LendingFinancial ServicesBankingFintechBNPL

Tech Stack

Tools & technologies

Amazon RedshiftAWSPostgresPythonSQL

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 producing 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 findings and reporting requirements, and provide evidence for dispute responses
Identify affected accounts, implement corrections and controlled reprocessing, and verify reporting outcomes
Develop automated tests, reconciliations, monitoring, and alerts to detect inaccurate, incomplete, duplicate, or unexpected reporting
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
Excellent problem-solving skills and experience tracing data defects across systems and preventing recurrence
Strong business judgment and communication skills
Fluent in English
Demonstrated experience working with Claude or equivalent large language model tools is required
Preferred: experience with credit reporting dispute workflows, e-OSCAR, Metro 2 format, dbt, Redshift, PostgreSQL, AWS, workflow scheduling/orchestration tools, and consumer lending, servicing, payments, financial services, banking, fintech, or BNPL

Benefits

Comp & perks

Career advancement opportunities
Fast-paced, high-growth environment
Opportunity to work with innovative fintech and retail technology
Full-time employment