Remote Data Jobs

As a Senior Analyst in a well-funded Series B stage start-up, you will be defining our growth potential for years to come. You will be an integral part of Reserv’s data team, working with our customers to deliver high fidelity data and insights. For this role, we are seeking data analysts with strong Python and SQL skills, a curiosity for how claims work and how our systems work them, the ability to interface with customers from technical and non technical backgrounds and the ability to both run independently and collaborate with our engineering and operations orgs alike.

Seeking a motivated and detail-oriented Data Engineering Manager to join our Data Platform and Engineering team. The successful candidate will play a key role in operationalizing support workflows, incident response protocols, and data observability practices across our data platforms. Manage a small team of data engineers focused on operational support, reliability, and platform engineering.

As Data Analyst in Operations at FINN, you will be at the heart of driving our business operations through data-driven insights. By leveraging advanced analytics tools and techniques, you will uncover trends, forecast outcomes, and provide actionable recommendations that validate the impact of strategic decisions. This role is perfect for a proactive problem solver who thrives in a data-rich environment and is passionate about using data to support strategic decisions.

Combine engineering rigor, business context, and storytelling to transform complex data into clear, consistent, and actionable insights as a Senior Analytics Engineer at Axios. You'll design, maintain, and evolve the curated layers of our data platform ensuring data is reliable, modeled for clarity, and accessible to everyone. You’ll transform raw and complex source data into well-structured data products, certified dashboards, and compelling visualizations that underpin reporting.

Experienced Data Architect with deep expertise in Microsoft Azure data services. Responsible for developing and governing enterprise-wide data architecture strategies to ensure consistency, quality, security, and accessibility of data. Designs scalable, modern, cloud-first data solutions aligned with business objectives, bridging business needs into end-to-end data architecture.

As a Data and BI Analyst for the Stone Partner Program's management team, you will play a fundamental role in supporting the business area by building tools and analyses to improve performance and streamline our program's routines. If you are passionate about data and have the ability to translate it into business intelligence, come and join our team!

As a Machine Learning Engineer on the Data Engineering team, you’ll partner closely with the Data Science team to build out our foundational Machine Learning platform. You will build internal tools and services to accelerate UD’s model building and deployment process. You will lead technical initiatives, and drive results in a fast-paced, dynamic environment and lead code reviews to maintain code and data quality.

We're looking for a Senior Data AI Engineer to join our Data Engineering team and help us design, build, and scale AI features at Filigran. Your mission is to turn real-world security problems into intelligent product capabilities — from ideation to production — in a fully remote, high-trust environment.

Design, build, and maintain robust data pipelines and warehouses that support analytics, machine learning, and real-time data products. Work closely with engineers, data scientists, and product teams to integrate and curate complex datasets from multiple sources, ensuring data quality, accessibility, and scalability. Contribute to evolving the data infrastructure and implement best practices across the software development lifecycle.

This role involves leveraging advanced data science techniques to transform complex data into actionable insights that drive strategic business decisions. You will work across departments to collect, analyze, and interpret large datasets, identifying patterns, trends, and opportunities that enhance products and operational processes. You will be instrumental in shaping data-driven strategies in a dynamic, innovative environment.