Data Engineer II, Credit Reporting

Sezzle; Buenos Aires; On-site; ARS 48,291,000 - 77,610,000; Full time

Job summary

Sezzle is hiring a Data Engineer II in Buenos Aires to own data pipelines, transformations, and reporting for furnishing customer account data to credit bureaus. You’ll debug SQL and Python workflows, resolve disputes with Customer Service, and collaborate with Compliance and Engineering to ensure accurate reporting.

You will work in a fast-paced fintech environment, building automated tests, monitoring, and reprocessing workflows while leveraging AI tools like Claude to boost productivity and

Qualifications

• Degree in computer science, engineering, data science, or a related quantitative discipline.
• 3+ years of relevant experience in data engineering or software engineering with ownership of production data pipelines and workflows.
• Advanced SQL skills including complex joins, reconciliation, data profiling, and troubleshooting transformation logic.
• Strong Python skills for reading, debugging, and fixes in scripts.
• Experience with version control, automated testing, monitoring, and safe deployment/reprocessing of data workflows.
• Excellent problem-solving skills and ability to trace data defects and prevent recurrence.
• Strong business judgment and communication skills to explain findings to Customer Service and Compliance and work with Engineering.
• Experience using Claude or equivalent LLM tools to enhance productivity and communication.

Responsibilities

• Own recurring credit bureau furnishing operations: data prep, validation, submissions, feedback, exception resolution, reconciliation.
• Build, maintain, and debug SQL transformations, Python scripts, and datapipelines for credit reporting data.
• Trace discrepancies from source records through transformation logic to outputs; identify root causes and implement fixes.
• Investigate escalations from Customer Service and explain data issues and reporting under approved policies.
• Identify affected accounts, implement corrections and controlled reprocessing, verify outcomes.
• Develop automated tests, reconciliations, monitoring, and alerts to catch inaccurate or duplicate reporting.
• Collaborate with Engineering on defects in production services or consumer app; provide reproducible examples and validation.

Skills

Advanced SQL

Python

Data problem solving

Stakeholder communication

AI tooling (Claude/ChatGPT)

Education

CS/Engineering degree

Tools

dbt

Redshift

PostgreSQL

AWS

Job description

The salary range for this role is $2,800 - $4,500 per month (Gross in USD)

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role:

We are seeking a talented and motivated, best-in-class Data Engineer II. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. This position will own the data pipelines, transformations, and reporting processes that support accurate, complete, and timely furnishing of customer account information to credit bureaus.

This role presents an opportunity to work in a fast-paced, high growth environment while taking hands‑on ownership of a critical customer‑facing data function. You will dig into account data and code, debug SQL and Python workflows, and carry issues from investigation through verified resolution. You will partner with Customer Service to resolve technical dispute escalations, with Compliance to apply approved reporting requirements, and with Engineering when a fix is needed in production services or the consumer app. We are looking for an independent problem solver who can manage recurring reporting operations while improving the systems behind them.

What You’ll Do:

• 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 datapipelines that produce credit reporting data
• Trace discrepancies from account activity and source records throughtransformation logic to furnished outputs; identify root causes and implement lasting fixes
• Investigate escalations from Customer Service, explain what happened to account data and what should be reported under approved policies, and provide evidence to support their dispute responses
• Identify all accounts affected by reporting defects, implement corrections and controlled reprocessing, and verify the resulting reporting outcomes
• Develop automated tests, reconciliations, monitoring, and alerts to catch inaccurate, incomplete, duplicate, or unexpected reporting before submission
• Partner with Engineering on defects in production services or the consumerapp, providing reproducible examples, affected-account analysis, and clear requirements; validate fixes through the reporting pipeline
• Work with Compliance to translate approved reporting requirements into technical rules and elevate ambiguous reporting scenarios
• Document reporting logic, data lineage, procedures, and incident resolutions so the process is repeatable and can be supported by others

What We Look For:

• 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 the ability to read unfamiliar code, debug existing scripts, and implement maintainable fixes
• Demonstrated 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, with a track record of tracing data defects across systems and preventing recurrence
• Strong business judgment and communication skills; able to explain technical findings to Customer Service and Compliance and work effectively with Engineering
• Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication.

Preferred Knowledge and Skills:

Experience with credit reporting dispute workflows, e-OSCAR, Metro 2 format, and investigating escalations from customer support teams

Experience with dbt, Redshift, PostgreSQL, AWS, and workflow scheduling or orchestration tools

Experience in consumer lending, servicing, payments, financial services, banking, fintech, or BNPL

The Tech You’ll Work With:

• Python
• Data build tool (dbt)
• WS, G Suite, Mac
• Coding agents Claude, ChatGPT

Interview Process:

• Application submitted (you are here)
• Wonderlic test (30-40 min)
• Interview with recruiters (30 min)
• Online coding assessment focused on SQL, Python, and debugging
• Verbal case study interview. Walk through a credit reporting discrepancy, trace the data and code, and explain how you would correct and prevent the issue.
• Verbal behavioral interview. Share examples of independently resolving data incidents, improving reliability, and partnering with Engineering and Customer Service.