Remote Data Jobs • SQL

Design, build, and maintain the data foundation behind our next-generation AI agent platform. You’ll work closely with AI/ML teams to power training, inference, and continuous learning through highly scalable data pipelines and cloud-native architectures. If you’re passionate about data infrastructure, performance optimization, and driving data quality at scale, we want to hear from you.

We are looking for a Product Data Analyst to join our team to help us power up the traveler's journey for millions of holidaymakers; the candidate will have the opportunity to leverage analytical skills to produce actionable insights and improve customer experience. Specifically, the analyst will have the chance to monitor the flight search funnel, examining the performance of different product features to help the business identify areas for improvement.

We are looking for a lead-level software engineer to lead the charge on a team of like-minded individuals responsible for developing the data architecture that powers our data collection process and analytics platform. If you have a passion for optimization, scaling, and integration challenges, this may be the role for you. You will work with product and engineering leaders to define data solutions that support customers’ business practices.

Reporting into the Market Access and Custom Analytics organization, this role will be a part of the MACA Solutions team that works closely with MACA Solutions Manager to develop consulting enablement tools and processes for MACA regional teams to utilize in their work with internal and external customers. Specifically, helping to drive market adoption and optimize da Vinci minimally invasive robotic assisted surgery.

Design and automate data pipelines, ensuring end-to-end efficiency. Maintain data completeness and reliability, building for scalability. Collaborate with cross-functional teams to refine processes and drive customer success. Create a robust infrastructure for handling diverse content and datasets.

Support high impact work by running key portions of our data products to help end product owners scale or run centralized data ingestion pipelines that the broader team relies on. Build expertise in highly valuable alternative datasets like web-scraped data, transaction data, email data, and others. You'll gain insight into how investors use data in their investment decisions.

This role transcends the ordinary realms of coding; it's about orchestrating technological marvels that disrupt industries. Lead a team that is actively shaping the tech landscape for our clients, and sets global standards along the way. Requires 5-8 years of experience in data engineering, DevOps, or a related technical field.

Together with a team of 4 other Analytics Engineers you will build the new core of the future decision-making platform of Emma Sleep. You will use a combination of dbt and Redshift and take complete ownership of your developments. Own the T in ELT together with the rest of the Analytics Engineering team.

The ETL Data Architect will perform data analysis, ELT/ETL design and support functions to deliver on strategic initiatives. Responsibilities include developing, documenting, and testing ELT/ETL solutions using industry standard tools (Snowflake, Denodo Data Virtualization, Looker), recommending process improvements, and extracting data from multiple sources. The candidate should be willing to explore and learn new technologies.

Collaborate cross-functionally to ask the right questions, uncover insights, and drive strategic decisions. Design, build, and maintain robust data infrastructure and pipelines to support analytics and product use cases. Translate complex business needs into scalable data solutions using modern data tools. Guide best practices in data modeling, transformation, and visualization. Own and evolve our analytics platform.