Integration Specialist

Description

Datarails is a leading financial planning and analysis (FP&A) platform that streamlines data consolidation, reporting, and planning processes. It allows finance teams to continue using their familiar Excel spreadsheets and financial models while automating data integration from many software types, ERPs, and CRMs. With Datarails, you can reduce risk, make informed decisions, and ensure stakeholders have access to the most reliable data at their fingertips. Transform your Excel into a powerful FP&A solution!

We are a successful FinTech company, headquartered in NYC and Tel Aviv, with over $100 million in funding. Datarails has been recognized as the #1 most promising global startup by Globes and 65+ leading VCs, as well as one of the best-paying and mid-sized companies to work for in NYC by Built-In.

What You'll Do

• Work as part of our customer success team to deliver data integration into our product.
• Lead the data integration aspects of the solution, working with multiple customers and technologies.
• Collaborate closely with the R&D team on new integrations and enhancements to existing ones.
• Support and assist the product support team with integration-related issues.
  
  

• Competitive compensation and ongoing recognition for your contributions.
• Opportunities for learning, growth, and skill development in a dynamic industry.
• Chance to be part of a successful, rapidly growing organization with an exceptional leadership team passionate about their employees.
• Fun, enthusiastic, and supportive work environment with never a dull moment!
  
  

• 2+ years of experience working with SQL, troubleshooting, and resolving issues (syntax and others).
• Prior experience with RESTful API, using testing tools such as Postman.
• 2+ years of experience working with ETL/ELT tools - Workato or similar.
• Proven success in a consultant or customer success role.
• Experience with node.js/python is a plus.
• Knowledge of SOAP APIs is an advantage.
• Ability to work independently with minimal supervision while also collaborating effectively within a team environment.