Data Engineer II, Credit Reporting

Job not on LinkedIn

🔥 13 hours ago

🇲🇽 Mexico – Remote

💵 $2.8k - $4.5k / month

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 21%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sezzle

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2016

💳 Fintech

👥 B2C

🛍️ eCommerce

Fintech • B2C • eCommerce

Sezzle is a financial technology company that offers a "buy now, pay later" service, allowing consumers to purchase products and pay for them in four interest-free installments over six weeks. The Sezzle app provides users with a flexible financing alternative to traditional credit cards, enabling instant approval decisions without impacting credit scores. Sezzle partners with various top brands, including Amazon, Walmart, and Target, to offer in-app and in-store payment options. The company's mission is to empower consumers financially by providing more financial freedom and control. It is available as a mobile app, with millions of downloads and high user ratings, and works towards accessibility and inclusion on its platform.

📋 Description

• 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 reporting outcomes under approved policies, 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, 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

• 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 to verified resolution • Experience with version control, code review, automated testing, monitoring, and safe deployment and reprocessing of data workflows • Track record of 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, dbt, Redshift, PostgreSQL, AWS, workflow scheduling/orchestration tools, and consumer lending, servicing, payments, financial services, banking, fintech, or BNPL

🏖️ Benefits

• Career advancement opportunities • Dynamic, fast-paced, high-growth work environment • Opportunity to work on a critical customer-facing data function • Cultural community including musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers

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