Senior Data Engineer (Analytics)

As a Senior 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.

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:

5+ 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, Luigi, AWS Glue, DBT).
Strong experience with cloud data services (e.g., AWS, GCP, Azure).
A deep passion for data and a strong analytical mindset with attention to detail.

Bonus points:

Solid understanding of business metrics and the ability to translate data into actionable insights.
Familiarity with data governance and data quality management best practices.
Strong communication skills and the ability to collaborate effectively across cross-functional teams.
Experience mentoring other data engineers and contributing to team technical growth.

How is your day going to look, what will you be doing?

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.

About Melio:

Melio builds business-to-business (B2B) payment tools so small business owners can spend less time in the back office and more time on their craft. As the fastest-growing B2B payment platform in the US, Melio is working hard to find new and better ways to help small businesses succeed in the ways that work best for them. With offices in New York, Denver, and Tel Aviv and a vibrant work culture, Melio is expanding every day. We are a diverse group of people who love what we do and do what we love. If you are a driven and passionate team player, you will fit right in. We are an equal opportunity employer and are always on the lookout for top-notch talent—please reach out if you would like to join us on this exciting journey!

About the hiring department:

The Engineering department is Melio's backbone. We provide consultation, support, and designs for technical solutions, supporting our customers and the entire organization. We get involved from the early stage of a project, making the connection between customer needs and our product design, and then translating these into solutions.