Senior Analytics Engineer

Summary

Join Extend's Data Engineering team as a Senior Analytics Engineer and ensure data integrity across financial and operational systems. Collaborate with various teams to align systems and streamline processes for accurate business reflection. Shape and scale data processes, contributing to reconciliation and audit readiness while building robust pipelines in Snowflake and DBT. This role offers autonomy and flexibility in a fast-paced environment. Build and maintain data pipelines, collaborate on data alignment and reconciliation, ensure data integrity, enhance integrations with service providers and merchants, utilize tools like Thunderclient, identify and fix data quality issues, and help evolve data quality standards. The ideal candidate possesses 4-6 years of experience in a similar role, strong SQL skills, Snowflake and DBT experience, API interaction proficiency, familiarity with reconciliation and financial audits, excellent communication, and a strong problem-solving mindset.

Requirements

• 4-6 years of experience as an Analytics Engineer, Data Engineer, or in a similar role focused on analytical data systems
• Strong SQL skills and hands-on experience with Snowflake and DBT
• Proficiency with API interaction and tools like Thunderclient or Postman
• Familiarity with reconciliation, financial audit preparation, and cross-system data integrity best practices
• Excellent communication skills and a collaborative approach to working across technical and non-technical teams
• Strong problem-solving mindset and the ability to proactively identify and address data inconsistencies

Responsibilities

• Build and maintain data pipelines using Snowflake and DBT to support reliable and auditable operations
• Collaborate closely with Accounting, Engineering, Operations, and Reporting to align and reconcile internal and external financial data
• Ensure data integrity across systems and assist with internal and external audits through well-documented, traceable data practices
• Enhance and support integrations with Service Providers and Merchants to improve timeliness and accuracy of reporting and invoicing
• Utilize tools like Thunderclient and other API clients to interface with production systems when necessary
• Identify, investigate, and fix data quality issues, recommending process improvements to reduce errors and manual interventions
• Help extend and evolve our data quality standards and operational analytics practices

Preferred Qualifications

• Experience in a fast-paced startup or cross-functional environment is a plus
• Bonus: Experience working with claims, reimbursements, or financial data operations

Benefits

• Competitive salary based on experience, with full medical and dental & vision benefits
• Stock in an early-stage startup growing quickly
• Generous, flexible paid time off policy
• 401(k) with Financial Guidance from Morgan Stanley
• We are 100% remote, with team members located across the USA