Top Remote Data Engineer Jobs in Columbus, OH

As a Senior Analytics Engineer at Amplify, you'll create analytical models to support educational products and provide insights to school administrators and internal business partners. You'll collaborate with data scientists and engineers to ensure data accuracy and security while building cohesive data marts from various systems. Additionally, you will participate in agile processes, mentoring, and continuous learning within a multi-functional team.

As a Data Architect, you will design and implement a scalable enterprise data architecture, lead data integration efforts, define migration strategies, establish data governance policies, and support application development to ensure data safety and compliance.

The Data Entry Specialist is responsible for reviewing and confirming legal documents in internal systems, addressing discrepancies, and completing additional tasks as assigned. This position requires attention to detail and proficiency in Microsoft Office.

Metabase is looking for an Analytics Engineer to support their team. The role involves refining data, building models, answering questions, collaborating with different teams, and potentially working on data engineering or AI/ML projects. They require strong data science and analysis skills, deep fluency in expressing business processes, extensive experience with SQL, and proficiency in Python coding. A technical degree in CS/CE, Math, Economics, or equivalent is preferred, along with familiarity with Metabase and other Business Intelligence Tools. Experience with B2B SaaS, open source, dimensional modeling, and data engineering is a plus. This is a mid-level position requiring at least 5 years of relevant experience.

As a Data Engineer, you will design and support data architecture, perform data mapping, manage data access requests, and ensure data security in a warehouse environment while developing pipelines and optimizing data processes.

The Big Data Engineer will lead technical planning for data migration, design efficient data pipelines, ensure data quality, and provide technical support. The role involves working with Azure components and collaborating with cross-functional teams to deliver data solutions.

As a Staff Engineer in Data Science, you will leverage your extensive experience to implement machine learning solutions, mentor team members, and transform business requirements into technical designs. You will define architecture, develop solutions on cloud platforms, and ensure best practices in code quality and design while collaborating with clients and developers.

The Big Data Engineer will lead data migration projects and develop scalable data pipelines to ensure efficient data movement using Azure Databricks and other Azure components. Responsibilities include ensuring data quality, providing technical support, and staying updated on cloud and data technologies.

The Senior Data Engineer at Spokeo will develop and optimize data technologies, build automation pipelines, collaborate with stakeholders to create data products, monitor performance, and follow data governance best practices.