Remote Data Jobs • Python

As the Principal Data Scientist, you’ll spearhead our data science initiatives—designing and deploying advanced machine-learning and statistical solutions. You’ll mentor a growing team of data scientists, set the strategic vision for modeling efforts, and ensure our algorithms deliver real business value for Spring & Bond and our clients.

Be a Geospatial Data Scientist with expertise in machine and deep learning for geospatial applications and snow remote sensing as part of the growing Earth Intelligence team. The work involves building applied scientific tools for a number of federal agencies, covering the full project lifecycle. The incumbent will work on multiple projects across federal contracts with agencies including: NASA, NOAA, USGS, and the USACE.

In this role, you will be responsible for designing, developing, and maintaining scalable data pipelines and systems to support a wide range of analytics and business intelligence solutions. You will work closely with cross-functional teams including data scientists, analysts, and engineers to provide data solutions that drive key business decisions.

Join our platform engineering team as a Data Engineer, where you will design, build, and maintain data pipelines and infrastructure that power our analytics and product features. This role requires a blend of strategic vision and hands-on technical skills. You will play a key role in shaping the foundation of Prepared’s engineering culture.

The Data Analyst role will turn business data into actionable insights, empowering teams to make smarter, faster decisions through clear analysis and automated reporting. Responsibilities include identifying key metrics, building standardized reports, investigating data inconsistencies, and analyzing data across departments to uncover trends.

Transform, test, deploy, and document data to deliver clean and trustworthy data for analysis to end-users and collaborate with subject matter experts, engineers, and product managers to identify the most elegant and effective data structures. By building the data lakehouse and transforming raw data into meaningful, useful data elements, help bring engineering best practices to the Data team.

Design, develop, test, deploy, maintain, and improve data systems and services. Perform code reviews and collaborate with peers on software solutions. Collaborate with engineers and product managers to understand data needs. Participate in Agile ceremonies and troubleshoot and fix production issues as they occur. Collaborative with the technical team to solve complex technical and design issues.

The Data Engineer I will support the design, development, and maintenance of data pipelines and workflows, assisting in data integration and transformation using tools like Python, T-SQL, SSMS, and Databricks. The role involves collaborating with other Data Engineers, working with healthcare data sets, translating business requirements into technical specifications, and participating in code reviews.

The ideal candidate will have a strong foundation in data analysis, data modeling, and problem-solving skills. You will be responsible for executing data exploration, root cause analysis of data issues, and ensuring the integrity and accuracy of our data systems. Collaborate with cross-functional teams to define business requirements and translate them into technical specifications.

In this pivotal role as Senior Data Engineer, you will be responsible for designing, developing, and maintaining robust data pipelines that ensure the reliable ingestion, transformation, and delivery of complex data (demographics, medical, financial, marketing, etc.) across systems. The ideal candidate will bring deep expertise in Databricks, SQL, and modern data engineering practices.