About the role
TL;DR
Design, develop, and optimize scalable data pipelines and analytics infrastructures.
- •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.
Required skills
SQLPythonAirflowSnowflakeAWSTerraformFivetranAnthropic API
Nice-to-have skills
dbt
Domain expertise
fintech
Tech stack
SnowflakeAirflowSQLPythonFivetranAWSTerraformAnthropic API