Analytics Engineer

Summary

Join Extend's Data Engineering team as an Analytics Engineer and ensure data integrity across financial and operational systems, particularly within Claim Reimbursement and Contract Sales. Collaborate with various teams to align systems and streamline processes for accurate and efficient payments to servicers and merchants. You will build and maintain data pipelines using Snowflake and DBT, contributing to reconciliation and audit readiness. This role offers high autonomy and flexibility in a fast-paced environment. You will own data workflows, build data pipelines, collaborate with cross-functional teams, and ensure data integrity. The position requires strong SQL skills, experience with Snowflake and DBT, and familiarity with financial audit preparation.

Requirements

• 2-4 years of experience as an Analytics Engineer, Data Engineer, or in a similar role focused on operational 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

• Own and improve the data workflows related to Claim Reimbursement and Contract Sales , ensuring accurate financial tracking and reconciliation with partners
• 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 claim expense reporting and payments
• 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