Top Remote Data Engineer Jobs

The Senior Data Engineer at Kalibri Labs will design, develop, and deploy scalable data pipelines. Responsibilities include mentoring other data engineers, optimizing data processes, and collaborating with cross-functional teams. The role requires managing data availability and integrity while implementing automated testing and maintaining integration pipelines.

The Sr. Database Administrator will support a DoD project, overseeing database administration, design and development. The ideal candidate will have extensive experience with Oracle and Microsoft SQL Server, including familiarity with database standards and methodologies. Other key responsibilities include maintaining database integrity and working on IT projects for the Navy.

The Data Architect will help build Primerica's enterprise data strategy focusing on data modernization, guiding data engineering teams on data strategies, pipelines, and access, while ensuring data quality and governance. Responsibilities include driving business requirements, technical leadership, project management, and evaluating data models.

The job involves leveraging AWS and Snowflake for data engineering responsibilities, focusing on big data solutions and cloud services. The role may also include elements of blockchain technology and artificial intelligence applications.

Responsible for designing, developing, and enhancing AWS data environments, including setting up AWS Data Platform and building scalable Data Lake solutions. The role requires expertise in data engineering and optimizing complex Data Pipelines.

As a Senior Analytics Engineer at Tint, you will be responsible for designing and implementing data pipelines, optimizing data models, and collaborating with cross-functional teams to deliver insights efficiently. This role involves leading data initiatives, mentoring junior team members, and influencing data strategy and architecture to inform key business decisions.

Principal Machine Learning Engineer needed at Twilio to spearhead ML/AI focused research projects, build prototypes, and explore emerging technologies. Responsibilities include researching new ML and AI technologies, building prototypes, collaborating with cross-functional teams, and influencing steering committee discussions on AI usage. Must have 10+ years of hands-on engineering experience.