Senior Data Engineer, Credit Reporting

Sezzle; Chile; On-site; CLP 49,625,000 - 66,166,000; Full time

Job summary

Sezzle is hiring a Senior Data Engineer to own data pipelines, transformations, and reporting processes that furnish customer account information to credit bureaus. You will work in a fast-paced, high-growth environment, debugging SQL/Python workflows, and partnering with Customer Service, Compliance, and Engineering to ensure accurate, timely reporting.

The role emphasizes independent problem solving, ownership of production data workflows, and building automated tests and monitoring to prevent

Qualifications

• 5+ years in data or software engineering with production pipelines
• Advanced SQL skills with data profiling and joins
• Strong Python skills for debugging and fixes
• Independent problem solver with incident management
• Experience with version control, testing, monitoring
• Excellent communication to explain findings

Responsibilities

• Own recurring credit bureau furnishing operations and data prep
• Build and debug SQL transformations and Python pipelines
• Trace discrepancies and implement fixes end-to-end
• Investigate escalations from Customer Service and Compliance
• Create automated tests, reconciliations, monitoring, alerts
• Collaborate with Engineering to validate fixes in production
• Document reporting logic and data lineage

Skills

Advanced SQL

Python

Data pipelines

Problem solving

Communication

Education

Computer Science degree

Tools

dbt

Redshift

PostgreSQL

AWS

Airflow

Job description

The salary range for this role is $4,500 - $6,000 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 Senior Data Engineer. 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, andreconciliation
• 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 implementlasting fixes
• Investigate escalations from Customer Service, explain what happened toaccount data and what should be reported under approved policies, andprovide 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 clearrequirements; validate fixes through the reporting pipeline
• Work with Compliance to translate approved reporting requirements intotechnical 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
• 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 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