Senior Data Engineer, Credit Reporting

Sezzle; United States; Remote; USD 50.000 - 67.000; Vollzeit

Zusammenfassung

Sezzle in the United States is seeking a Senior Data Engineer to own data pipelines, transformations, and reporting that feed customer credit bureau furnishment. You will dig into account data, debug SQL and Python workflows, and lead data quality initiatives in a fast-growing fintech environment.

You’ll collaborate with Customer Service, Compliance, and Engineering to translate requirements into reliable data pipelines, automate tests, and improve reporting efficiency across the organization.

Qualifikationen

• Degree in computer science, engineering, data science, or a related quantitative discipline.
• 5+ years of data engineering or software engineering experience.
• Hands-on ownership of production data pipelines and operational workflows.

Aufgaben

• Own recurring data pipelines, transformations, and reporting for credit bureau furnishing.
• Build, maintain, and debug SQL transformations and Python scripts.
• Trace discrepancies, implement root cause fixes, and ensure data quality.
• Develop automated tests, monitoring, and alerts for reporting reliability.
• Collaborate with Customer Service, Compliance, and Engineering to meet requirements.

Kenntnisse

Advanced SQL

Python

Data pipelines

Problem solving

Communication

Ausbildung

Bachelor's degree in CS/Engineering/DS

Tools

dbt

Redshift

PostgreSQL

AWS

Claude

Jobbeschreibung

The salary range for this role is$4,500 - $6,000per 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.

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.
• Offer

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks