Remote Data Jobs · SQL

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.

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.

This person will ultimately be responsible for leading efforts that transform the way phenotypic data is collected and utilized within the genetic improvement program. The successful candidate has the ability to work in a culturally diverse, fast-paced environment and can work collaboratively across functional teams. The candidate is a strong communicator and possesses strong analytical skills.

The Manager, Data Solutions will design and optimize scalable data warehouse and data lake architectures, integrating AI/ML capabilities and cloud-native technologies to support analytics and business intelligence. You will manage a dedicated Data Solutions team, mentor talent, and ensure alignment of data systems with business goals. The position requires strong technical expertise, leadership skills, and experience implementing data governance and security policies.

YipitData’s Corporate team collaborates directly with organizations like Summer Fridays, FanDuel, Uber, and Harbor Freight to help them make sense of the vast amounts of external data available by sourcing, cleaning, organizing, and contextualizing data to support clients in answering their key business questions. This is a remote-friendly opportunity where Insights Analysts will collaborate closely with Marketing, Sales, and Data Product teams to create and communicate data-driven insights.

As a Software Engineer on the BI Engineering team, you’ll help build and shape the backbone for analytics needs across the organization. You’ll work with Analysts, Data & ML Engineers, as well as other internal teams to define and shape self-service analytics and a data-driven organization. You’ll support the relationship between the BI/Analytics, External Reporting, Product, Data Platform and domain engineering teams as we build out robust data solutions for our AI and Core Products.

This role is ideal for a technically skilled leader passionate about building scalable, high-performance data platforms, leading a team to design and maintain pipelines for millions of daily events, ensuring data reliability and accessibility, owning the architecture and optimization of a cloud-based data warehouse, and influencing the development of a Customer Data Platform.