Data Engineer II, Credit Reporting

Sezzle

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

Posted 11/2/2026full-timeRemote • PeruMid-LevelSenior💰 $2,800 - $4,500 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. Capable of collaborating with cross-functional teams to resolve discrepancies and enhance data workflows.

Highest-signal resume keywords

Advanced SQL SkillsStrong Python SkillsData Pipeline OwnershipAutomated Testing ExperienceCredit Reporting Knowledge

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 ReconciliationDebuggingData Transformation

Soft Skills

Problem-SolvingCommunication SkillsBusiness JudgmentIndependent InvestigationPrioritization

Tools & Technologies

Version ControlCode ReviewMonitoring ToolsWorkflow SchedulingDbtRedshiftPostgreSQLAWSClaudeE-OSCAR

Industry Keywords

Credit ReportingConsumer LendingFinancial ServicesBankingFintechBNPLCustomer Support EscalationsMetro 2 Format

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 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 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 detect inaccurate, incomplete, duplicate, or unexpected reporting
Partner with Engineering on production service or consumer app defects, providing reproducible examples, affected-account analysis, and requirements; validate fixes
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
3+ 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 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; 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
Preferred: experience with credit reporting dispute workflows, e-OSCAR, Metro 2 format, and customer support escalations
Preferred: experience with dbt, Redshift, PostgreSQL, AWS, and workflow scheduling or orchestration tools
Preferred: experience in consumer lending, servicing, payments, financial services, banking, fintech, or BNPL

Benefits

Comp & perks

Career advancement opportunities
Fast-paced, high-growth work environment
Opportunity to work with innovative fintech and retail technology
Flexible remote work arrangement