Remote Data Jobs

This role offers the opportunity to directly impact millions of customers' access to credit by building underwriting frameworks. You will be a member of a small team with the big responsibility of continuously improving M-KOPA’s loan offers and eligibility criteria in order to drive growth while managing credit losses and margins. You'll work cross-functionally with engineers, data scientists, other analysts, growth managers, and commercial stakeholders across multiple countries.

Design, build, and manage data warehouse to serve as the single source of truth for the organization. Develop and deploy low-latency, real-time data streaming pipelines. Enable self-service analytics by building clean, well-documented, and trusted datasets. Establish and follow data governance and security best practices. Stay current with industry best practices and emerging data analysis tools and techniques.

Lead the design and evolution of our data platform from architecture to production with a focus on reliability, cost, and scale. Drive decisions on data stack and platform standards across teams. Build and optimize high-performance data services and pipelines (batch and streaming) for large-scale workloads. Own production operations for file- and event-based systems. Reduce technical debt and simplify systems with clean interfaces and clear patterns.

The Healthcare Data Operations Analyst will join Zócalo Health at a critical time in the history of our company. As an integral member, you will be responsible for ensuring the accuracy and timeliness of data shared with Medicaid health plan partners. You will support critical workflows that enable performance accountability, care quality, and business growth.

In this critical role, you will contribute to the design and implementation of semantic models, bridging the gap between raw data sources and actionable clinical insights. You will utilize your skills in NLP and data analysis to enrich our knowledge graph, ensuring high data quality and accessibility for semantic enrichment and clinical interoperability initiatives.

This role accelerates decision-making across Serve Robotics by transforming raw data into actionable insights. You will own the architecture, automation, and reliability of our analytics data pipelines while collaborating closely with cross-functional partners to make data a strategic asset for our autonomy, operations, and product teams.

As a Data Engineer, you’ll work hand-in-hand with the Data Services team to build, validate and deliver transformed data to meet stakeholder requirements; the ideal candidate has strong SQL skills, a passion for data, a technical background and an interest in professional sports, betting & eSports.

Join our team as an Analytics Engineer! This role focuses on designing, implementing, and optimizing digital analytics solutions using tools such as Google Analytics 4 (GA4), Google Tag Manager (GTM), and data layer frameworks. This position ensures accurate event tracking, scalable tagging infrastructure, and actionable insights to support data-driven decision-making across the company.

Enhance our cutting-edge AI technologies by providing high-quality input and labels using specialized software. Collaborate closely with our technical team to support the training of new AI tasks, contributing to innovative initiatives. Refine annotation tools and select complex problems from advanced Earth Science fields to drive significant improvements in model performance.

As a Data Engineer Intern, you will work with an experienced data team to design, develop, and maintain our data systems and infrastructure. This internship provides hands-on experience with large datasets, building data pipelines, and using tools for data processing and analysis. You'll be contributing to projects that impact business decisions.