Top Remote Data Engineer Jobs in Phoenix, AZ

As a Data Architect, you'll develop datasets for data visualization and machine learning while working with structured and unstructured data. Responsibilities include automating data pipelines, building data ingestion frameworks using Data Bricks and Apache Spark, and collaborating with stakeholders to deliver data products.

As a Data Engineer at Demyst, you'll collaborate with project managers and clients to design data solutions, perform data analysis, and manage project lifecycles using various data formats and cloud technologies. Your role will involve building scalable code, handling ETL processes, and employing APIs to deliver valuable datasets.

The IT Business Systems Analyst is responsible for managing IT systems, user access, security compliance, and providing support for business applications. Key duties include overseeing IT operations, coordinating with managed service providers, optimizing IT solutions, and ensuring compliance with security frameworks. The role requires strong collaboration across teams to enhance efficiency and streamline IT processes.

The Principal Data Engineer will lead a team responsible for defining, planning, and delivering data engineering solutions while driving the development of modern data platforms. Responsibilities include overseeing data pipeline design, mentoring staff, solving complex development problems, and documenting best practices.

As an Azure Data Architect, you will design and implement innovative data solutions to fulfill advanced analytical needs, build resilient data platforms, lead teams, and enhance technical capabilities in a cloud environment. Your role will include developing data ingestion and integration systems, improving data product quality, and mentoring teams.

The Senior Data Engineer at Kalibri Labs will design, develop, and deploy scalable data pipelines to enhance efficiency and value. This role involves mentoring other data engineers, optimizing processing pipelines, defining data SLAs, and ensuring data integrity through automated quality tests. The engineer will also participate in code reviews and work closely with the data architect on scalable solutions.

Leading and collaborating on the engineering design, development, and deployment of features and projects. Responsible for writing clean, reusable code, improving code structure for maintainability, and solving problems in collaboration with colleagues and clients.