Remote Data Jobs • Python

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.

As a Senior Data Engineer, you’ll architect and maintain a highly flexible, enterprise-scale data warehouse that accelerates insights and minimizes redundant work. Leveraging deep expertise in data modeling, governance and Big Data technologies (Hadoop, Spark, Hive, etc.), you’ll design end-to-end ETL pipelines, optimize performance, and build metadata and quality monitoring frameworks.

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.

The ideal candidate will have some research experience with either an advanced degree or work experience outside a pure academic context, working with cross-functional teams to define business problems, determine data and methods, build/execute analyses, and present results to stakeholders. Responsibilities include balancing business goals with statistical, technical, and data constraints, and integrating AI into your work.