Promote growth of direct reports through mentorship. Assist in design of standardization. Build & maintain pipelines using Airflow and dbt that provide data critical to operational reporting and data-driven initiatives. Evaluate and improve existing pipelines and data models.

Turn vast amounts of data into insightful, easy-to-use, automated business intelligence reports, working closely with both the internal team of engineers and our partners’ projects teams to deliver reports that empower business owners to make better and more informed decisions. Deliver Machine Learning models as a working application.

Shape the vision, architecture, and implementation of Kindred’s end-to-end data infrastructure, partnering with engineering, product, and business leaders to understand data needs and influence the long-term data architecture. Build scalable, reliable data pipelines that support analytics, operations, and product experiences.

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.