Remote Data Jobs • SQL

We’re seeking a Senior Data Analytics Engineer for our Data Commercial team. The Data team is both a support function and strategic partner at Fullscript and will continue to be a key area of business value going forward. Data is used to drive effective decision-making and growth through opportunity analysis, experiment design and iteration, and building dynamic experiences for our customers.

Architect batch + stream pipelines (Airflow, Kafka, dbt) for diverse structured and unstructured marked data. Provide reusable SDKs in Python and Go for internal data producers. Implement and tune S3, column‑oriented and time‑series data storage for petabyte‑scale analytics; own partitioning, compression, TTL, versioning and cost optimisation. Develop internal libraries for schema management, data contracts, validation and lineage.

This role is critical in ensuring data integrity, driving business insights, and fostering a high-performing BI team; the Data Analytics Manager will lead the Business Intelligence function in delivering strategic, actionable insights that drive business performance and customer outcomes, ensuring the effective use of data through robust governance, modern analytics tools, and a high-performing team.

Collaborate with management and team members to deliver insightful reports, dashboards, and data analytics that drive decision-making and innovation. Design, develop, and support customized reports, dashboards, and data analytics. Provide exceptional customer support, training, and consulting on product usage. Lead both on-site and virtual training sessions for clients. Collaborate with internal teams to gather requirements and troubleshoot reporting issues.

The Data Science team at Fieldguide leverages novel, proprietary datasets to build Fieldguide Insights – a product that delivers new-to-the-industry visibility into Audit and Advisory execution and performance. You'll work closely with product, design, engineering, and customer teams to build analytics and data science models that uncover key performance drivers.

This role combines advanced data analytics with Docebo LMS administration to provide actionable insights that drive training effectiveness and organizational performance. The Learning Analyst will design and implement comprehensive reporting frameworks, develop key learning metrics, and leverage data analytics tools to transform learning data into strategic business intelligence. Working closely with cross-functional teams, this role ensures our learning initiatives are effectively tracked and optimized.

This role support the implementation and automation of key rotation policies and secure credential storage across our cloud infrastructure. You will collaborate with the Data Engineering team to ensure proper access control and encryption practices are enforced in all ETL pipelines and data services and assist in developing monitoring and alerting systems for key usage and rotation schedules.

Lead a talented team of data scientists who will drive design, development, and deployment of autonomous vehicle performance KPIs ranging from straightforward to advanced machine learning outputs. Part of the Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) department, this position serves as the central body for automated driving system (ADS) safety. The ideal candidate will be an expert in data science, statistical modeling, and data development across the entire data maturity curve.

A highly skilled Senior Data Operations Engineer is needed to join the team to design and implement robust data architectures using Databricks, AWS, and Azure platforms. The ideal candidate will have experience in big data technologies, cloud platforms, and data engineering to provide data pipeline support, operations and engineering across multiple data domains and data platforms.

As a U.S. Department of Defense SkillBridge fellow or intern, you will be embedded within functional and cross functional teams directly supporting our lines of business. You will be equipped, trained, and treated as one of us. Candidates are matched to teams within engineering and data science divisions and involved in day-to-day operations and tasks.