You’ll be the face and voice of Deel for our clients, responsible for onboarding Clients and setting them up for durable relationships with Deel to enable long-term success. You will serve as our client’s trusted advisor by providing strategic guidance during the onboarding phase on operational and product-related issues. You will champion new products and capabilities to facilitate the expansion of each client’s business with Deel.

Enhance how millions of customers connect with both novel and nostalgic food experiences on Goldbelly's platform. Partner with business leaders and leverage state-of-the-art data engineering and analytics resources to transform their data infrastructure and pipelines.

Use various tools and processes to complete data migrations from other software packages into our products in a timely and accurate manner. Develop procedures and scripts for continuous improvement and repeatable processes. Coordinate database changes and migrations with technical team, projects team and management.

Work with business to understand, analyze, and blueprint business functional needs in the system. Design new solutions using Databricks and Qlik to deliver capabilities meeting business functional requirements. Build data models and reports using datasets from ERP’s and legacy systems.

Lead a team in building and maintaining large scale data processing pipelines, focusing on information extraction from AV logs and data transformation. You will design scalable data processing solutions, implement interfaces for self-service data pipelines, and champion code quality while mentoring engineers in a fast-paced environment. Your work will deal with petabyte scale data.

This role will oversee a team of Database Architects, Developers, Automation Engineers, and Business Data Engineers to build and maintain scalable data infrastructure that powers decision-making across our e-commerce, ERP, accounting, and logistics operations. The ideal candidate brings strong leadership, deep expertise in data architecture and ETL, and the ability to turn complex data into actionable insights across finance, operations, supply chain, and e-commerce.

As a Data Scientist II, you will extract and analyze data and contribute to business problem solutions using data science analysis, coding, technical tools, and automation techniques. You will work autonomously on tasks and components of projects and professionally mentor other teammates. You will also develop and apply statistical, logical, and/or machine-learning-based data science algorithms.

Create and maintain ELT/ETL processes for existing and new systems. Collaborate with development and business teams to understand requirements and define source system data flows. Develop and maintain ETL/ETL specifications for data integration development. Define and deliver consistent data modeling and data architecture standards, methodologies, guidelines and techniques. Document, implement and maintain the data pipeline architecture and related business processes.

Build and maintain a scalable data platform that supports multiple business functions, including engineering, legal, sales, marketing, and governance. This platform enables real-time and batch data processing, ensuring high data quality and compliance with privacy regulations.

The Cloud Data Integration Engineer will lead the design, development, and delivery of data management projects using Informatica Cloud (IDMC). This position architects and implements scalable data management solutions, ensuring data quality, consistency, and governance in the cloud environment. Responsibilities include designing MDM solutions, implementing IDQ rules, and optimizing ETL processes.