Top Remote Data Engineer Jobs

The Sr. Data Engineer will work on projects involving PySpark and Scala with a focus on data analysis and debugging. They will utilize their skills in Spark, GIT, and familiar CICD tools to manage the Big Data Application Life Cycle while ensuring efficient incident management using Control-M and Service Now.

The Senior Data Engineer delivers high quality modern data solutions by collaborating with teams and customers, involving architecture and data science.

The Data Engineer will collaborate with various teams to implement data management and security solutions, improve telemetry services, manage data architecture, perform threat analysis, ensure compliance, conduct risk assessments, and train stakeholders. This role requires strong data engineering skills and expertise in cloud environments.

Develop and maintain data pipelines using AWS services, create data models, and optimize queries. Collaborate with teams to address data needs.

The Senior AWS Data Engineer will develop and maintain data pipelines, create data models, and ensure efficient data orchestration using AWS services and tools. Collaborating with teams, the engineer will optimize data processes and communicate solutions effectively.

Expand and optimize data pipeline architecture and data flow for cross-functional teams, while supporting software developers and data scientists on data initiatives.

The Data Engineer will develop and maintain data integration pipelines, leverage AWS Cloud technologies, and optimize database queries. Requires strong Python and analytical skills.

As a Data Engineer, you will create data-driven solutions for leading financial institutions by collaborating with internal teams and clients. You will handle data extraction, analysis, and integration using Demyst's proprietary Python library and AWS infrastructure. Responsibilities include designing scalable code, managing production releases, and supporting clients globally.