Senior Data Engineer (Analytics)

Melio builds business-to-business (B2B) payment tools for small business owners, offering the fastest-growing B2B payment platform in the US.
Data
Senior Software Engineer
In-Person
5+ years of experience
Finance

Description For Senior Data Engineer (Analytics)

Melio, the fastest-growing B2B payment platform in the US, is seeking a Senior Data Engineer (Analytics) to join their team in Tel Aviv. This role is crucial in shaping and driving analytics data pipelines and solutions that empower business insights and decisions. The position involves designing, developing, and optimizing scalable data analytics infrastructures using modern tools and technologies.

As a Senior Data Engineer, you'll be working at the intersection of data engineering and business analytics, collaborating with cross-functional teams including data analysts, scientists, and product managers. You'll be responsible for building robust data pipelines, implementing analytics-focused data models, and ensuring data quality and governance across the analytics layer.

The ideal candidate brings 5+ years of experience in data engineering, with strong expertise in SQL and Python. You should have proven experience with data warehousing, ETL/ELT frameworks, and cloud data services. This role offers an opportunity to make a significant impact by enabling data-driven decision-making at scale while growing your career in a dynamic, collaborative environment.

Melio's Engineering department serves as the company's backbone, providing consultation, support, and technical solutions that support both customers and the entire organization. With offices in New York, Denver, and Tel Aviv, Melio offers a vibrant work culture where driven and passionate team players thrive. This role presents an excellent opportunity to join a rapidly growing company that's revolutionizing B2B payments while working with cutting-edge data technologies and practices.

Last updated 5 days ago

Responsibilities For Senior Data Engineer (Analytics)

  • Lead the design, development, and maintenance of robust data pipelines and ETL processes
  • Collaborate with data analysts, data scientists, product engineers and product managers
  • Architect and maintain the infrastructure for ingesting, processing, and managing data in the analytics data warehouse
  • Develop and optimize analytics-oriented data models
  • Champion data quality, consistency, and governance across the analytics layer
  • Troubleshoot data issues and implement measures to improve system reliability
  • Share knowledge and mentor team members

Requirements For Senior Data Engineer (Analytics)

Python
  • 5+ years of experience as a Data Engineer or similar role
  • Expertise in SQL and proficiency in Python for data engineering tasks
  • Experience designing and implementing analytics-focused data models and warehouses
  • Hands-on experience with data pipelines and ETL/ELT frameworks (Airflow, Luigi, AWS Glue, DBT)
  • Strong experience with cloud data services (AWS, GCP, Azure)
  • Deep passion for data and strong analytical mindset with attention to detail

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