Remote Data Engineer with AWS

Who We Are Is What We DoDeel is the all-in-one payroll and HR platform for global teams. Our vision is to unlock global opportunity for every person, team, and business. Built for the way the world works today, Deel combines HRIS, payroll, compliance, benefits, performance, and equipment management into one seamless platform. With AI-powered tools and a fully owned payroll infrastructure, Deel supports every worker type in 150+ countries—helping businesses scale smarter, faster, and more compliantly.Among the largest globally distributed companies in the world, our team of 7,000 spans more than 100 countries, speaks 74 languages, and brings a connected and dynamic culture that drives continuous learning and innovation for our customers.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; 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.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.With our momentum—backed by a $17.3 billion valuation and $1 B 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.SummaryThis role is responsible for building and maintaining the data infrastructure. They ensure data from various sources is efficiently collected, processed, and stored, taking ownership of smaller projects and collaborating with senior engineers on larger initiatives.Legga la panoramica di questa opportunità per capire quali competenze sono richieste, incluse le soft skill pertinenti e la padronanza di pacchetti software.

Design, build, and maintain efficient data pipelines (ETL/ELT processes) using Apache Spark on AWS EMR to integrate data from various source systems into our data warehouse and data lake.Build and optimize batch and near real‐time data processing jobs on Spark (including performance tuning, partitioning, and cost control on EMR) to support analytics and reporting needs.Write and refine complex SQL queries and use scripting (e.g., Python) to transform and aggregate large datasets.Implement data quality measures (such as validation checks and cleansing routines) to ensure data integrity and reliability.Develop and optimize data warehouse schemas and tables, and define contracts between Spark/EMR pipelines, Iceberg tables, Snowflake models, and dbt transformations.Collaborate with data analysts, data scientists, and other engineers to understand data requirements and deliver appropriate solutions.Document pipeline designs, data flows, and data definitions for transparency and future reference, adhering to team standards.Handle multiple tasks or projects simultaneously, prioritizing work and communicating progress to stakeholders to meet deadlines.

Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Mathematics, Physics).At least 3 years of experience in a data engineering or similar backend data development role.Strong SQL skills and experience with data modeling and building data warehouse solutions.Proficiency in at least one programming language (e.g., Python) for data processing and pipeline automation.Experience implementing data quality checks and working with large‐scale datasets.Stock grant opportunities dependent on your role, employment status and locationAdditional perks and benefits based on your employment status and countryThe flexibility of remote work, including optional WeWork access

At Deel, we're an equal‐opportunity employer that values diversity and positively encourages applications from suitably qualified and eligible candidates regardless of race, religion, sex, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, pregnancy or maternity or other applicable legally protected characteristics.If you require accommodations, please inform our Talent Acquisition Team via this link and a team member will be in touch to ensure your equal participation. As a fully remote company, we also utilise AI‐powered deepfake and fraud detection technologies to verify the authenticity of candidate identities and interactions during assessments and interviews. This processing is conducted in compliance with applicable Data Protection, AI Governance and Labour Laws. We ensure human oversight is maintained in all final hiring decisions. Your personal data is not used to train AI models. For more information on how we process your personal data, please see our Privacy Policy.