Remote Data Jobs · SQL

This professional will be essential in the transition to cloud solutions and ensuring operational continuity during this transformation period. Responsibilities include maintenance and support, problem-solving, data migration, team collaboration, and continuous improvement through documentation.

Northbeam is fundamentally a data product where the company sells data. You will work with a small engineering team to create a platform that consolidates third-party data from a wide range of sources, including advertising platforms, e-commerce systems, customer data warehouses, ERP, POS, and CRM systems. You will need to think about concerns like scalability, multi-tenancy, batch vs streaming trade-offs, data validation, API design, and more.

We're looking for a Senior Data Scientist to be the strategic anchor for a functional team. You won't just be building models; you'll be a key influencer who translates ambiguous business challenges into powerful, end-to-end ML solutions. Your mission is to take ownership of the data science lifecycle, delivering automated and augmented decisions that create a quantifiable impact on the business.

We are seeking a Data Engineer to help build and maintain a robust, trustworthy, and well-documented data platform. In this role, you will be responsible for developing and maintaining data pipelines, implementing monitoring and alerting systems, establishing data quality checks, and ensuring that data structures and documentation stay up to date and aligned with business needs.

Seeking a Data Architect / Principal Data Engineer to join our development center, working with a major US client in a fast-paced, high-impact environment. In this role, you will define, architect, and implement scalable data platforms and end-to-end ELT pipelines aligned with modern Lakehouse principles. You will work closely with cross-functional teams across the US, Colombia, and Brazil to ensure that our data ecosystem is reliable, future-proof, and aligned with enterprise architecture standards.

In this role, you will define, architect, and implement scalable data platforms and end-to-end ELT pipelines aligned with modern Lakehouse principles, collaborating with cross-functional teams across the US, Colombia, and Brazil. This position requires deep technical expertise, strong architectural thinking, and the ability to influence and mentor engineering teams. Fluent English communication is essential for collaborating with global stakeholders, presenting architectural recommendations, and ensuring alignment across distributed teams.

Maven Clinic is looking for a Strategic and customer-focused Senior Data Analyst specializing in Customer Analytics, who will help Maven Clinic’s customers understand, measure, and amplify clinical and business value through data with experience in developing scalable analytics solutions and align cross-functional stakeholders, turning data into actionable insights that drive client outcomes and strengthen long-term partnerships.

Hands-on Analytics Engineer who thrives in fast-moving, high-complexity environments and enjoys bringing clarity to ambiguity. You’ll join a growing data team with many open, high-impact challenges across billing, finance, product, GTM, and business operations. You’re someone who asks thoughtful questions, goes deep to understand how things work, and loves transforming loosely defined user problems into scalable, reliable data solutions.

You'll play a key role in shaping our products and decisions by working across product, engineering, and commercial teams to ensure data is at the center of everything we do. Mine and analyze large datasets to inform product development, marketing strategies, and business processes. Build predictive models that optimize customer experiences, operational efficiency, and revenue growth.

Build a high-impact Talent Pool for advanced analytics, AI, and enterprise data platforms if you’re a LATAM-based Data Scientist with strong English. Solve complex problems using Python, R, SQL, Machine Learning, statistical modeling, forecasting, and cloud-based data ecosystems. The ideal candidate will have experience building predictive/prescriptive models, strong communication skills in English, and a passion for experimentation.