Senior Analytics Engineer, Data Platform

About

Description

As the fastest-growing Software as a Service (SaaS) company in history, Deel is transforming how global talent connects with world-class companies – breaking down borders that have traditionally limited both hiring and career opportunities. We're not just building software; we're creating the infrastructure for the future of work, enabling a more diverse and inclusive global economy. In 2024 alone, we paid $11.2 billion to workers in nearly 100 currencies and provided healthcare and benefits to workers in 109 countries—ensuring people get paid and protected, no matter where they are. Our momentum is reflected in our achievements and customer satisfaction: CNBC Disruptor 50, Forbes Cloud 100, Deloitte Fast 500, and repeated recognition on Y Combinator’s top companies list – all while maintaining a 4.83 average rating from 15,000 reviews across G2, Trustpilot, Captera, Apple and Google. Your experience at Deel will be a career accelerator. At the forefront of the global work revolution, you'll tackle complex challenges that impact millions of people's working lives. With our momentum—backed by a $12 billion valuation and $800 million in Annual Recurring Revenue (ARR) in just over five years—you'll drive meaningful impact while building expertise that makes you a sought-after leader in the transformation of global work.

Responsibilities

• Design and implement RBAC on Snowflake to meet all business and compliance requirements
• Enforce data governance policies and practices to maintain data integrity, security, and compliance with global data privacy regulations
• Design and implement scalable and efficient data models for our Core data mart
• Develop and optimize SQL queries for analytical and reporting purposes
• Improve data team productivity by contributing components to our data processing, transformation, orchestration, and messaging framework(s)
• Build data observability systems to provide near real-time visibility into errors, anomalous behavior, and late arriving data
• Build a world-class development environment and CI/CD system that will allow our systems to scale for years to come Collaborate with cross-functional teams, such as data scientists, software engineers, and business stakeholders, to understand data platform needs
• Mentor other Analytics Engineers on the team, help them grow, and ensure their work meets internal standards

Qualifications

• Proficient in RBAC principles and implementation details in modern data warehouse
• Proficiency in a data engineering tech stack: 5+ years of experience writing complex, performant, readable SQL to process and transform large scale data sets Deep DBT core experience required (experience building on top of dbt core libraries would be awesome) Experience with Snowflake desired (or other cloud database platform) Experience with workflow management frameworks like Airflow, Luigi, Dagster, etc You are proficient in Python and/or another data centric language You have experience building highly observable data systems You are familiar with dimensional data modeling techniques and best practices You have an eye for detail, good data intuition, and a passion for data quality You appreciate the importance of great documentation and data debugging skills You are comfortable working in a rapidly changing environment with ambiguous requirements
• You are nimble and take intelligent risks

Application instructions:

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