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Top Remote Data Engineer Jobs in Columbus, OH

370+ Job Results
19 Days Ago
United States
Remote
70 Employees
70 Employees
Not Specified
Software
Seeking a Head of Data Science at Competera to lead the ML strategy, collaborate with stakeholders, mentor DS/ML teams, and drive innovation. Must have experience in a scale-up company, retail industry, and Python stack for ML. Desired skills include experience in Causal Inference, Probabilistic Programming, XAI development, and cloud architecture.
19 Days Ago
United States
Remote
893 Employees
Senior level
893 Employees
Senior level
Information Technology • Consulting
Seeking a Senior Provisioner with 3-5 years of telecom experience to manage telecom orders, coordinate service installations, and communicate with clients and vendors for timely and accurate service delivery of Voice and Data telecom services.
19 Days Ago
2 Locations
Remote
5,000 Employees
Senior level
5,000 Employees
Senior level
Big Data • Analytics • Business Intelligence • Big Data Analytics
As a Senior Data Engineer, you'll design, build, and maintain scalable data pipelines in cloud infrastructure, collaborating with teams for data analytics and machine learning projects. Your role includes developing ETL pipelines, optimizing SQL performance, and working with both relational and NoSQL databases.
19 Days Ago
United States
Remote
150 Employees
Mid level
150 Employees
Mid level
Fintech • Information Technology • Mobile • Payments • Software
As a Data Engineer at Reach Financial, you'll develop and manage data pipelines, collaborate with data scientists and analysts, maintain documentation, and troubleshoot issues while modernizing the company's data platform. You'll work closely with Lead and Senior Data Engineers and help evaluate new tools for optimizing the data ecosystem.
Top Benefits:
401-K
401-K Matching
Commuter Benefits
+25 More
19 Days Ago
USA
Remote
31 Employees
Senior level
31 Employees
Senior level
Professional Services
The Data Analytics Architect leads the design and administration of a federal customer’s data analytics suite. Responsibilities include working primarily with Splunk and Cribl in cloud environments, optimizing data storage configurations, and collaborating with teams on security content requirements for SOC operations.
20 Days Ago
United States
Remote
14 Employees
Entry level
14 Employees
Entry level
Marketing Tech
The role involves building and maintaining comprehensive account databases for clients, researching and identifying relevant companies, and validating B2B data accuracy. A skilled B2B Data Developer will utilize data mining techniques and collaborate with internal teams to tailor data collection to client needs.
20 Days Ago
40 Locations
Remote
61 Employees
Entry level
61 Employees
Entry level
Information Technology • Software
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.
20 Days Ago
USA
Remote
87 Employees
Junior
87 Employees
Junior
Fintech
As a Data Engineer at Legalist, you will design and develop scalable data pipelines, collaborate with cross-functional teams to meet data needs, and optimize data pipeline performance. Responsibilities include developing ELT processes, participating in agile development, and applying best practices in data modeling.
20 Days Ago
United States
Remote
309 Employees
Senior level
309 Employees
Senior level
Software
As a Principal Data Scientist at Appspace, you will analyze data generated by our platform to create valuable reporting and analytics for customers. This includes developing data models, dashboards, and providing user training while collaborating with cross-functional teams to meet customer needs.
20 Days Ago
USA
Remote
45 Employees
Senior level
45 Employees
Senior level
Artificial Intelligence • Big Data • Information Technology
As a Senior Machine Learning Engineer, you will design and develop machine learning applications, conduct experiments, work collaboratively with engineers, engage with clients, and mentor project teams, focusing on practical AI solutions for clients.
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