Staff Data Engineer

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PayNearMe

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2009

💳 Fintech

☁️ SaaS

🤝 B2B

🔥 Funding within the last year

💰 $50M Series E - PayNearMe on 2025-09

Fintech • SaaS • B2B

PayNearMe is a payments technology company that provides a modern, end-to-end platform for businesses to accept, disburse and manage payments. The platform emphasizes Payment Experience Management, offering features such as modern payment processing, automation and self-service, exception management, and a cash-at-retail network. PayNearMe targets business customers across industries (auto & consumer lending, tolling, iGaming, buy-here-pay-here dealers, credit unions, mortgage servicing, law firms, etc. ) and advertises metrics including 16+ years in operation, $50B+ processed annually, 16,000+ businesses on its platform, and 62,000+ cash-at-retail locations. Money transmission services are provided by its subsidiaries PayNearMe MT, Inc. and PayNearMe Financial, Inc.

📋 Description

• Provide technical leadership in the design, development, and evolution of PayNearMe's modern data platform and data products. • Work closely with Product, Engineering, Risk, Finance, Operations, and Analytics teams to model complex payment data into trusted, governed, and reusable data products that power reporting, analytics, operational intelligence, AI, and customer-facing applications. • Lead the design of scalable data models across the Bronze, Silver, and Gold layers of our lakehouse architecture while establishing engineering best practices and mentoring other engineers through technical leadership. • Collaborate with business stakeholders, product managers, and engineering teams to understand business processes and translate them into well-designed analytical data models. • Develop reusable semantic models that provide consistent business definitions and metrics across the organization. • Capture and transform transactional payment data from operational systems into curated analytical datasets. • Optimize query performance and execution.

🎯 Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Statistics, or related field. • 10+ years of professional experience in Data Engineering, Analytics Engineering, or Data Platform Engineering. • Deep expertise designing enterprise-scale data platforms and cloud-native data architectures. • Strong experience modeling complex business domains with emphasis on payment, financial, or transactional data. • Expert knowledge of: • Dimensional modeling • Fact and dimension design • Star schema design • Semantic modeling • Data warehouse architecture • Experience designing and maintaining curated Silver and Gold layer data models within modern lakehouse architectures. • Expert SQL skills with demonstrated experience writing highly performant analytical queries. • Strong Python programming skills. • Extensive hands-on experience with: • Snowflake • dbt • Fivetran • AWS • GitLab • Looker / LookML • Strong understanding of: • ELT architectures • Data quality • Metadata management • Data lineage • Data observability • CI/CD pipelines • Infrastructure-as-Code • Experience building highly reliable, scalable, and maintainable data pipelines. • Excellent problem-solving and diagnostic skills. • Exceptional written and verbal communication skills. • Demonstrated ability to influence technical direction without direct management responsibility. • Strong organizational and communication skills

🏖️ Benefits

• Competitive salary and benefits with growth-company options grant • Fast- paced and professional work culture • Stock options with standard startup vesting - 1 year cliff; 4 years total • $50 monthly communication expense stipend to go towards your phone/internet bill • $250 stipend to enhance your WFH setup • Reimbursement for peripheral equipment: monitor (up to $400), keyboard and mouse (up to $200) • Premium medical benefits including vision and dental (100% coverage for employees) • Company-sponsored life and disability insurance • Paid parental bonding leave • Paid sick leave, jury duty, bereavement • 401k plan • Flexible Time Off (our team members typically take off ~3-4 weeks per year) • Volunteer Time Off • 13 scheduled holidays