Top Remote Data Engineering Jobs

The Staff Data Engineer will architect and implement a next-generation data platform, build data pipelines, and ensure data integrity for actionable insights.

In this role, you will lead customer engagements, provide technical solutions, and guide customers on the Databricks platform, focusing on big data architectures and integrations.

The Senior Engineer, Data will architect and deploy data pipelines, optimize databases, collaborate with teams, and maintain data integrity. They will also enhance data architecture and improve processes using various technologies.

SAPSOL Technologies is seeking freshers for SAP training in various modules. Candidates will undergo live training, assist in project processes, and prepare for certification. Responsibilities include conducting workshops, documenting designs, configuring modules, and providing support.

The Revenue Operations Engineer builds and optimizes data pipelines, maintains data integrity across systems, and collaborates with various business units to solve problems and improve processes using data and technology.

The Business Systems Specialist will support data conversion, collaborate with IT and Operations teams, and ensure successful data integration across various business lines.

Lead design and management of data infrastructure and architecture, implement ETL and data quality standards, partner with stakeholders to align data systems with business strategy, and evaluate emerging data technologies to drive scalable, secure data platforms.

The role involves defining data requirements for insurance customers, managing data integration, and providing solutions for complex data issues. It requires collaboration with customers and internal teams while ensuring effective implementation of solutions.

The role involves recording everyday household tasks using a smartphone or camera to assist in training AI models. Responsibilities include adhering to guidelines and ensuring quality video capture.

As a Staff Software Engineer in Data Engineering, you will design, build, and optimize robust data systems to ensure data quality, performance, and stability, while mentoring team members and collaborating with cross-functional teams.