Remote Data Jobs

The company is looking for two Senior Data Engineers to support a large-scale initiative for the mining industry. You will work with a global delivery team focused on data platform scalability, sensor data modeling, and analytics for real-world operational insights, helping teams unlock value from IoT sensor streams and complex data workflows across geographies.

Build efficient and robust data pipelines for large volumes of data, from internal databases and SaaS applications, using Fivetran, Airbyte or Python. Develop and optimize transformation data models using Redshift, Dbt, Dagster and other tools. Monitor and maintain our cloud data warehouse (Redshift) with timely and quality data.

Apply and develop advanced artificial intelligence and machine learning methods to analyze imaging and multi-omics data across diverse biomedical research areas, including cancer, aging, longevity, and neurodegenerative disorders. Collaborate closely with research faculty and Scientific Services to advance JAX’s strategic priorities. Process and harmonize multi-omics and imaging datasets and analyze them using existing bioinformatics or AI/ML tools and adapt methods as needed.

As an Analytics Engineer, you will develop and maintain in-house and 3rd party platforms for analytics, tag management, privacy consent management, test automation, and marketing technology tools. You will support data collection, orchestration, and validation, modernizing existing implementations and generating documentation for partner teams.

As a Data Engineer at Atropos Health, you will turn healthcare data into information by cleaning, transforming, and analyzing large healthcare datasets. You will build tools that ensure data quality and consistency across our products, working closely with commercial, medical, and data science teams. Your work will help Atropos Health inform every clinical decision and research inquiry with personalized evidence.

You will lead the development and management of high-quality data labeling pipelines that support our large language models. This role involves building an internal labeling team, working closely with vendors, and designing scalable processes for data annotation. Your work will be critical to the success of our AI models, ensuring that they are trained on top-tier labeled data using crowdsourcing and other data collection techniques.

Join the global leader in cloud contact center technology, where innovation meets real-world impact. As a Middle AI Engineer / Data Scientist, you'll develop customer-facing AI solutions, customize product features, and create reusable templates. Gain hands-on experience with NLP, machine learning, and AI systems, working closely with experienced engineers, conversation designers, and consultants. This is a unique opportunity to join a team from the ground up and grow your technical and client-facing skills.

Seeking a skilled Data Engineer to support a government contract delivering high-quality data solutions. The ideal candidate will have experience designing, building, and maintaining scalable data pipelines, transforming raw data into actionable insights, and ensuring data quality and compliance with government standards.

Support an existing Data Warehouse development team with PowerBI, PowerApps, Oracle Analytics, Data Warehousing and other areas where analysis is needed. Work closely with business stakeholders, data engineers, and BI developers to analyze requirements, design data models, and build systems that can deliver actionable insights through robust reporting tools. Assist users with integrating PowerBI and PowerApps.

As Data Engineer, you'll help build the next generation of cloud-based data tools and reporting for Experian's MCE contact center division. Valuable, accurate, information is important to our success, and this impactful role will be an essential part of that. Delivery pace and meeting our commitments are a primary focus to ensure that we are providing information at the speed of business.