Data Engineer Jobs

The successful candidate will be responsible for developing, monitoring, and operating the most critical curated data pipeline, which processes hundreds of millions of records to provide high-quality datasets for analytical and machine learning use cases. The candidate should be able to consult with analysts, data scientists, and product managers to build and continuously improve the "Single Source of Truth" KPI for business steering, redevelop old legacy pipelines to new, advanced, and standard versions, and leverage and improve a cloud-based tech stack that includes AWS, Databricks, Kubernetes, Spark, Airflow, Python, and Scala. If you are a skilled Data Engineer who can develop and operate critical data pipelines, continuously improve business KPIs, and leverage cloud-based tech stacks, we would love to hear from you.

The successful candidate will be responsible for developing, monitoring, and operating the most critical curated data pipeline in the Sales Order Data system. The pipeline processes hundreds of millions of records to provide high-quality datasets for analytical and machine-learning use cases. The candidate will work closely with analysts, data scientists, and product managers to build and continuously improve the "Single Source of Truth" KPI for business steering.

The successful candidate will be responsible for developing, monitoring, and operating the most critical curated data pipeline in the Sales Order Data system. The pipeline processes hundreds of millions of records to provide high-quality datasets for analytical and machine-learning use cases. The candidate will work closely with analysts, data scientists, and product managers to build and continuously improve the "Single Source of Truth" KPI for business steering.

In this role, you will be responsible for building world-class data solutions and applications that power crucial decisions throughout the organization. You should be someone who is excited about building services that scale.

The successful candidate will be responsible for developing, monitoring, and operating the most critical curated data pipeline, which processes hundreds of millions of records to provide high-quality datasets for analytical and machine learning use cases. The candidate should be able to consult with analysts, data scientists, and product managers to build and continuously improve the "Single Source of Truth" KPI for business steering, redevelop old legacy pipelines to new, advanced, and standard versions, and leverage and improve a cloud-based tech stack that includes AWS, Databricks, Kubernetes, Spark, Airflow, Python, and Scala. If you are a skilled Data Engineer who can develop and operate critical data pipelines, continuously improve business KPIs, and leverage cloud-based tech stacks, we would love to hear from you.

The successful candidate will be responsible for developing, monitoring, and operating the most critical curated data pipeline in the Sales Order Data system. The pipeline processes hundreds of millions of records to provide high-quality datasets for analytical and machine-learning use cases. The candidate will work closely with analysts, data scientists, and product managers to build and continuously improve the "Single Source of Truth" KPI for business steering.

Currently, we are looking for a remote Senior Data Engineer to join our global team. The customer is a telemedicine company based in Boston that connects patients with doctors over secure video.

In this role, you will be responsible for building world-class data solutions and applications that power crucial decisions throughout the organization. You should be someone who is excited about building services that scale.

The successful candidate will be responsible for developing, monitoring, and operating the most critical curated data pipeline, which processes hundreds of millions of records to provide high-quality datasets for analytical and machine learning use cases. The candidate should be able to consult with analysts, data scientists, and product managers to build and continuously improve the "Single Source of Truth" KPI for business steering, redevelop old legacy pipelines to new, advanced, and standard versions, and leverage and improve a cloud-based tech stack that includes AWS, Databricks, Kubernetes, Spark, Airflow, Python, and Scala. If you are a skilled Data Engineer who can develop and operate critical data pipelines, continuously improve business KPIs, and leverage cloud-based tech stacks, we would love to hear from you.

The successful candidate will be responsible for developing, monitoring, and operating the most critical curated data pipeline in the Sales Order Data system. The pipeline processes hundreds of millions of records to provide high-quality datasets for analytical and machine-learning use cases. The candidate will work closely with analysts, data scientists, and product managers to build and continuously improve the "Single Source of Truth" KPI for business steering.