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Open nowPosted 8 hours ago

Data Engineer

Melio24 open roles

Where
Tel Aviv
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Your applicationOpen nowData EngineerMelio · Tel Aviv

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. Melio postings stay open a median of 42 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 8 hours ago

Melio median: 42 days open

The posting

As a Data Engineer, you will play a key role in shaping and driving our analytics data pipelines and solutions to empower business insights and decisions. Collaborating with a variety of stakeholders, you will design, develop, and optimize scalable, high-performance data analytics infrastructures using modern tools and technologies. Your work will ensure data is accurate, timely, and actionable for critical decision-making.

Our data platform is built on Snowflake as the analytics warehouse, with Airflow orchestrating our SQL and Python pipelines. We ingest data through Fivetran and S3-based Snowpipe, manage our infrastructure as code with Terraform on AWS, and monitor data quality with Monte Carlo and Snowflake native DQ. AI is part of how we work: we use Claude to speed up development, validation, and on-call triage across the stack.

Key Responsibilities:

  • Lead the design, development, and maintenance of robust data pipelines and ETL processes, handling diverse structured and unstructured data sources..
  • Collaborate with data analysts, data scientists, product engineers and product managers to deliver impactful data solutions..
  • Architect and maintain the infrastructure for ingesting, processing, and managing data in the analytics data warehouse..
  • Develop and optimize analytics-oriented data models to support business decision-making..
  • Champion data quality, consistency, and governance across the analytics layer..

Qualifications:

  • 3+ years of experience as a Data Engineer or in a similar role..
  • Expertise in SQL and proficiency in Python for data engineering tasks..
  • Proven experience designing and implementing analytics-focused data models and warehouses..
  • Hands-on experience with data pipelines and ETL/ELT frameworks (e.g. Airflow, DBT, etc.)..
  • Strong experience with cloud data services (e.g., AWS, GCP, Azure)..
  • AI proficiency: hands-on experience using AI coding assistants such as Claude as part of your daily engineering workflow. You will use them to explore code, build and validate pipeline changes, triage incidents, and open pull requests. You know how to guide AI effectively, review its output critically, and own the quality of what ships..
  • A deep passion for data and a strong analytical mindset with attention to detail.

Bonus points:

  • Strong understanding of business metrics and how to translate data into actionable insights.
  • Familiarity with data governance and data quality best practices.
  • Excellent communication skills to work with cross-functional teams including data analysts, data scientists, and product managers.
  • Familiarity with Terraform and infrastructure-as-code practices.

What your day might look like:

  • Leading the design and implementation of scalable data pipelines to support analytical workloads..
  • Collaborating with stakeholders to gather requirements, propose solutions, and align on data strategies..
  • Writing and optimizing ETL processes to ensure seamless integration of new data sources..
  • Designing analytics-focused data modeling solutions tailored for strategic decision-making..
  • Troubleshooting data issues and implementing measures to improve system reliability and accuracy..
  • Sharing knowledge and mentoring team members to promote a culture of learning and excellence.

This is an opportunity to make a significant impact by enabling data-driven decision-making at scale while growing your career in a dynamic, collaborative environment.

About the Engineering department:

The Engineering department is the backbone of Melio. We build, scale, and maintain the technical infrastructure that processes over $100B in annual payments for small businesses nationwide.

Following our acquisition by Xero, we’re tackling an even more exciting challenge: integrating Melio’s payment platform with Xero’s accounting software to create a unified financial ecosystem. This means building robust, scalable systems that seamlessly connect two powerful platforms while maintaining the security and reliability that financial services demand.

Our Stack:

We're all-in on AWS Serverless—meaning fully managed infrastructure that lets us build and scale faster than ever. We use TypeScript and Python for consistency, combining relational and document databases, and deploy via SAM CLI built on CloudFormation. Serverless gives us the agility to innovate rapidly while maintaining enterprise-grade reliability.

As part of our engineering team, you'll work on problems that matter: real-time payment processing, fraud prevention, API integrations, data synchronization, and user experience optimization. You'll have the autonomy to make architectural decisions, the support of a world-class team, and the satisfaction of seeing your code impact millions of small businesses.

If you're ready to build systems that scale, solve hard problems, and help small businesses thrive, we want to talk to you.

Read more about our Engineering department on our tech blog.

About Melio:

Melio, a Xero company, is revolutionizing how small businesses handle payments. By combining Melio’s best-in-class bill pay platform with Xero’s global accounting expertise, we’re building the ultimate financial command center for American small businesses. We’re the fastest-growing B2B payment solution in the US—but we’re still small enough that you can make real, visible impact as we scale to reach millions more businesses.

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