Accounting Automation Engineer

Spotter

9d

About The Position

Spotter Labs is hiring Accounting Automation Engineers to help automate manual processes across accounting, finance, and related business systems. This role is for someone who can understand how work is being done today, identify repetitive manual steps, connect data across systems, build automation, and create cleaner workflows that are accurate, repeatable, and scalable. The initial focus will be Accounting and Finance, but strong performers may also support automation projects in other departments as the company continues to grow.

Requirements

• Practical automation builders who can work across business systems and messy real-world data.
• Experience automating manual processes using tools such as Excel, Google Sheets, SQL, Python, Power Query, VBA, Google Apps Script, Zapier, Make, Power Automate, APIs, or similar platforms.
• Strong ability to work with data exports, reports, spreadsheets, and system-generated files.
• Understanding of accounting or finance processes, including reconciliations, journal entries, month-end close, AP, payroll, reporting, or financial analysis.
• Ability to map a current process, identify failure points, and build a cleaner workflow.
• Strong analytical skills and attention to detail.
• Ability to work with non-technical users and translate business problems into automated solutions.
• Good documentation habits.
• Comfort working in a fast-moving environment where systems and processes are still being built.
• Candidates may be asked to complete a practical work sample involving process mapping, data cleanup, reconciliation logic, automation design, reporting, or workflow improvement.
• Candidates who can understand a problem, organize the data, build a practical solution, document their work, and explain how the process could be improved or automated.

Nice To Haves

• Experience working with accounting, ERP, banking, payroll, expense management, inventory, reporting, or operational systems.
• Experience building dashboards, exception reports, reconciliation tools, or workflow automations.
• Experience with multi-system data matching and process improvement.
• Experience supporting accounting, finance, operations, logistics, transportation, or other data-heavy business environments.
• Accounting, finance, data analytics, systems, or engineering background preferred.

Responsibilities

• Review manual accounting and finance workflows and identify opportunities for automation.
• Build repeatable processes across multiple systems, exports, reports, and data sources.
• Improve reconciliations, journal-entry preparation, close tracking, reporting, and exception management.
• Help connect operational data to accounting and finance processes.
• Create templates, scripts, dashboards, workflows, and documentation that reduce manual work.
• Work with accounting, finance, operations, and technology teams to understand process gaps and build practical solutions.
• Design controls so automation improves accuracy rather than simply speeding up bad processes.
• Create exception-based workflows so teams can focus on issues instead of routine data entry.
• Document processes clearly so they can be maintained and improved over time.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed