
201 - 500 employees
💸 Finance
🤝 B2B
💳 Fintech
Finance • B2B • Fintech
World Business Lenders, LLC is a direct lender that specializes in providing real-estate secured business loans to small-to-medium-sized businesses. The company focuses on serving under-served businesses that lack access to traditional funding, facilitating access to capital for business expansion and growth. With a strong management team experienced in financial services, World Business Lenders offers working capital solutions to foster the development of successful small businesses.
🔥 12 hours ago
🌐 Turkey, Argentina, +4 more countries – Remote
⏳ Contract/Temporary
🟡 Mid-level
🟠 Senior
🎲 Risk
👻 Ghost score 13%
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201 - 500 employees
💸 Finance
🤝 B2B
💳 Fintech
Finance • B2B • Fintech
World Business Lenders, LLC is a direct lender that specializes in providing real-estate secured business loans to small-to-medium-sized businesses. The company focuses on serving under-served businesses that lack access to traditional funding, facilitating access to capital for business expansion and growth. With a strong management team experienced in financial services, World Business Lenders offers working capital solutions to foster the development of successful small businesses.
• Improve data pipelines through automation and quality checks to ensure accuracy, consistency, and reliability throughout the data processing workflow • Reduce manual intervention and minimize data-processing errors • Migrate legacy systems to new systems through analysis, seamless data transfer, and integration • Enhance system performance and maintain continuity without disrupting existing operations
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field is preferred, with equivalent hands-on experience valued • 4 to 7 years of experience as a Data Engineer • Experience working with cloud-based data platforms and environments • Strong SQL skills with data modeling experience for data warehouses • Strong Python skills, especially notebooks, for building and maintaining data workflows • Experience developing and maintaining ETL/ELT processes • Experience working with data warehouses used by reporting/business teams • Experience using Git/GitHub for version control in collaborative environments • Understanding of pipeline orchestration and dependency management • Understanding of data quality, validation, and monitoring fundamentals • Hands-on data migration experience, including schema mapping and transformation • Strong data reconciliation and validation skills • Experience with data quality checks, integrity validation, and issue resolution • Experience with backfills and historical data handling • Experience with cutover planning and execution • Experience building and maintaining automated data pipelines • Experience with scheduling, orchestration, and failure handling • Experience with workflow reliability, monitoring, and repeatability • Excellent command of English, spoken and written • Must be available Monday–Friday, 9:00 AM–6:00 PM Eastern Time • Must have a stable internet connection and professional remote working setup • Resume must be submitted in English
• Paid time off (PTO) • Fully remote work environment • Compensation in USD
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