A talented and motivated Senior Data Engineer is needed to join the growing team to be instrumental in designing, developing, and maintaining data infrastructure and pipelines ensuring the efficient and reliable flow of data throughout the organization, collaborating closely with software development, analytics, and product teams to drive success.

You will be responsible for executing mission-critical systems and data services that ingest and analyze blockchain transaction activity at petabyte scale, and work to build a safer financial system for billions of people by building reliable data services and developing complex ETL pipelines that transform and process petabytes of structured and unstructured data in real-time.

As a Data Engineer you will play a critical role in the design, implementation, and maintenance of our data infrastructure and pipelines. You'll collaborate closely with cross-functional teams including engineering, product, and revenue to ensure that our data is accurate, accessible, and reliable for making informed business decisions.

The Senior Data Engineer position will design and develop data streaming architectures leveraging microservice and message-oriented integration patterns and practices within AWS cloud native technologies. The role involves scaling data ingestion pipelines, collaborating with stakeholders, writing clean code, and ensuring data integrity.

Improve data processing pipelines from performance, cost and correctness standpoints. Contribute to the development of the new data platform. Collaborate with platform and ML teams to create ETL pipelines that efficiently deliver clean and trustworthy data. Design and optimize data models based on business and engineering needs.

Seesaw is seeking an experienced Data Engineer to join our Data Foundations team to build a distributed, privacy-conscious data platform, maintain and enhance our Snowflake-based data warehouse, ensure the reliability of our ETL pipelines, and support our evolving international data needs.

We are seeking a Data Scientist to join our growing data science team as a part of the fast-paced Product division at Healthcare.com. This role combines data science, analysis, and engineering to deploy and optimize machine learning models that directly impact business performance.

As a Staff Data Engineer, you will be responsible for maintaining and operating the data platform that caters to machine learning workflows, analytics and powers some of the products offered to Apollo customers. You'll develop and maintain scalable data pipelines and build new integrations to support continuing increases in data volume and complexity. You will also implement automated monitoring, alerting, self-healing features while building the consumption pipelines.

As a Data Engineer at Sporty, you will play a critical role in ensuring the smooth processing and handling of data for our machine learning and data science initiatives. Your primary responsibilities will include designing, building, testing, optimising, and maintaining data pipelines and architectures for various aspects of our rapidly growing business.

The Product Engineer Role is a critical contributor to the design, development, optimization,automation, and maintenance of our core data platform and analytical solutions, with a strong focus on leveraging GCP services. The Product Engineer will work closely with data analysts, clinicians, and other engineers to understand their data needs and translate them into robust, scalable data pipelines.