Top Remote Entry Level Data Engineer Jobs in Rochester, NY

As a Data Engineer at Archive, you will build data pipelines, develop AI use cases, architect data infrastructure, and improve reporting practices. You will work with large datasets and collaborate with various teams to solve complex problems and enhance product metrics.

As a Python Data Engineer, you'll build and maintain data ingestion and streaming infrastructure, evolve web crawling systems, and create ETL pipelines connecting to APIs and datasets while collaborating with global engineering teams.

This position involves supporting students in data analytics boot camps through various roles such as Teaching Assistants, Tutors, Learning Assistants, and Graders. Responsibilities include facilitating lessons, providing one-on-one support, engaging with students on structured schedules, and offering detailed feedback on assignments.

The Data Engineer will design and build data products including data lakes and repositories, participating in all stages of data pipeline development and working closely with cross-departmental stakeholders.

As a Data Engineer, you will develop and maintain data ingestion adapters for blockchain networks, implement data ingestion strategies, optimize latency, and collaborate with upstream data sources. You will perform data quality checks and adapt to a dynamic remote work environment.

Design and build data models, BI dashboards, and applications to solve business problems. Collaborate with a team to understand data and business needs. Support program management and troubleshoot issues. Recommend technical developments and optimize solutions. Continuous learning and development in BI tools, cloud platforms, databases, and version control systems.

As a Data Visualization Consultant, you will design and develop analytics applications in BI platforms like Tableau and PowerBI, creating effective visualizations to meet healthcare clients' needs. Responsibilities include understanding client requirements, designing mockups, coaching organizations on best practices, and troubleshooting visualization issues.