Top Healthtech Data Engineering Jobs

Assist in developing and maintaining data processing pipelines, collaborating with teams to define requirements, and enhancing infrastructure for data sets.

Develop and implement advanced algorithms, apply statistical techniques, collaborate with clients, assess technologies, and mentor team members.

Work with client and internal teams to design and implement enterprise data solutions. Lead workstreams, translate business problems into technical designs, support delivery activities (architecture, prototypes, test plans, deployment), mentor junior staff, and apply best practices across cloud, data platforms, and visualization tools.

Design and optimize database architecture and data models, implement data pipelines, develop solutions on cloud platforms, ensure data quality, manage projects and mentor junior engineers.

As a Senior Analytics Engineer, you will design and maintain reliable data pipelines, improve data workflows, and mentor teammates to influence analytics practices at Spark.

Lead the design, development, and delivery of Azure-based data platforms while managing a data team and collaborating with stakeholders.

The Senior Data Engineer will transform real-world data into analytics-ready datasets, build scalable pipelines, and conduct analyses to support scientific and business decisions, collaborating closely with data science teams.

Lead a team of data engineers and analysts, manage cross-functional data projects, and integrate insights to improve product and customer value.

The Senior Analytics Engineer will build and scale the analytics layer for decision-making. Responsibilities include design, implementation, testing, and maintaining data reliability across teams.

The Data Engineer II will design data models, build ETL pipelines, collaborate with teams, and ensure data flows are efficient and well-monitored. A strong understanding of SQL, Python, and cloud technology is essential.

The Senior Data Engineer will build and maintain data pipelines, optimize data processes, design a data validation framework, and ensure user privacy and security.