Remote Data Jobs • SQL

As a Senior Data Engineer, you will be instrumental in shaping the future of our data platform. You will work with a global, remote-first team to build, scale, and optimize our data infrastructure using cutting-edge tools like Databricks, Spark, Terraform, and cloud platforms (AWS/Azure). Your work will empower teams to access the data they need, drive insights, and optimize business outcomes.

CI&T is looking for a talented Databricks Senior Data Architect to design, develop, and maintain scalable data pipelines and infrastructure to drive data analytics and machine learning solutions for clients. You will design and implement scalable and efficient data architecture solutions, create, test, and maintain robust data pipelines, and collaborate with data engineers, data scientists, and stakeholders.

A motivated IT professional who is passionate about all things database-related is needed. The candidate should be able to tune, install, and configure database servers, set up servers for the database environment including Production and Non-production, and provide practical knowledge and support. The candidate should be proficient in SQL Clustering, Backup and recovery, Database performance, and ensuring data security.

Ryz Labs is seeking a Principal Data Engineer to design, build, and own modern data platforms end-to-end, from ingestion pipelines and cloud infrastructure through to high-quality, production-grade code. You'll pair traditional data-engineering strengths with solid software-development practices to deliver resilient data products that scale. The role involves developing robust data pipelines, engineering infrastructure, applying software-craft disciplines, and championing data quality.

Comprehend client specifications and requirements and translate them into software and ultimately production ready client deliverables. Write Python scripts to perform data analysis and assure the overall quality of the client deliverable. Interact with internal and external users to obtain and convey concise problem information in a professional manner.

You'll play a crucial role in developing and maintaining scalable data pipelines and infrastructure to drive data analytics and machine learning solutions for our clients. Responsibilities include designing data pipelines, collaborating on data architecture, optimizing performance, and ensuring data quality.

Build the analytics infrastructure that powers data-driven decisions across our FinTech platform serving millions in Africa. As a Senior Analytics Engineer, you will own analytics datasets and pipelines for specific product domains with real-world impact, driving the analytics direction for your areas.

As a Sr. Data Scientist in the Value Management team, you will build and improve analytical models focused on Time Series Forecasting and Planning. You will structure forecasting data and team up with business stakeholders to unlock growth and enhance profitability. Strong business acumen and programming skills are fundamental to translate data into insights that drive business decisions, planning and forecasting usage and subscribers.

Partnering with B2B Marketing teams, this role measures and reports on progress toward revenue and growth goals. Acting as a strategic thought partner, you'll identify opportunities while shaping the B2B marketing roadmap. You will turn complex data into clear, actionable insights to inform media investment and campaign strategy. Collaboration across Marketing, Sales, Analytics Engineering, and Product makes data decision-ready.

As a Senior Analytics Engineer on the analytics team, lead the development of Pano AI's data transformation layer, partnering with stakeholders to translate data needs into actionable models and solutions. Your work will lay the foundation for high-impact insights across the organization.