Join the dynamic data platform team as a Data Engineer. Play a crucial role in designing, building, and maintaining scalable data pipelines that drive our data-driven decision-making processes. Collaborate closely with analytics engineers, DevOps, and other engineering teams to ensure data is accessible, reliable, and optimized for various business needs.

The Senior Data Scientist will be leading in tackling challenging problems and creating statistical, machine learning, and deep learning models that impact millions of users, providing machine intelligence-driven solutions to simplify and enhance the customer experience. This role will mentor junior team members.

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 Staff Data Engineer role involves designing, developing, and maintaining data pipelines and infrastructure to support marketing strategies, ensuring efficient data collection, storage, and analysis, requires collaboration with data scientists and stakeholders to provide high-quality data for insights and decision-making and deliver innovative solutions aligned with company's vision.

In this role, you will develop regression models, classification algorithms, and geospatial clustering within a location-data platform processing terabytes of data daily. It requires expertise in ML, Gen AI, Deep Learning, and advanced statistics. The Data Scientist will develop and implement ML and Gen AI algorithms, design scalable solutions, and analyze large-scale location data.

PayPay's growth is driving a rapid expansion of PayPay product teams and the need for a robust Data Engineering Platform. The DaaS team’s responsibility is to design, implement, and operate this platform using cutting edge technologies. Seeking Data Engineers to help scale the platform.

Lead a team designing, building, and scaling the data infrastructure that powers analytics and data-driven decision-making across the company, ensuring data governance, compliance, and security. This role requires a strategic mindset and deep technical understanding of data engineering.

Design and implement our enterprise data platform, a cornerstone of our data strategy. As Senior Data Architect you'll be responsible for creating the technical foundation that supports our machine learning experiments, agentic AI workflows, and curated data sets using Databricks as our core technology platform to build scalable, efficient data architecture.

Thrive Market's Data Engineering team is seeking a Senior Data Engineer to build high-impact products alongside their Data Strategy Team. In this role, you will orchestrate data engineering solutions, collaborate with technical teams, and resolve production data issues. This role needs someone who is excited about the mission and the tech behind the company.

As a Senior Data Engineer, you will build data applications, delivering high quality code with performance and scalability in mind, and collaborate with the Tech Lead on designing architecture. This role involves building LoyaltyLion's data platform and supporting the team’s and company’s growth using Python & SQL and technologies like Dagster, Docker, Rabbit MQ, dbt, Superset, dltHub, ClickHouse , Cube etc.