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Top Remote Data Engineer Jobs in Dayton, OH

367+ Job Results
17 Days Ago
2 Locations
Remote
149 Employees
99K-194K Annually
Senior level
149 Employees
99K-194K Annually
Senior level
Fintech
In this role, you will lead the development of AWS-based data pipelines and analytics, manage infrastructure-as-code, optimize databases, and support data-driven decisions across Dwolla's API platform, leveraging your skills in DataOps and cloud technologies.
17 Days Ago
United States
Remote
793 Employees
95K-125K Annually
Senior level
793 Employees
95K-125K Annually
Senior level
AdTech
As a Senior Data Engineer, you will design and optimize data infrastructure, collaborate with teams to ensure data flow across marketing technology platforms, and influence strategy and technical roadmaps. You will work on innovative projects using cutting-edge technologies.
17 Days Ago
USA
Remote
14,000 Employees
93K-147K Annually
Senior level
14,000 Employees
93K-147K Annually
Senior level
Other
As a Senior Data Engineer, you will be responsible for designing and implementing data solutions, managing ETL processes, and optimizing data warehousing strategies to support business analysis and reporting. You will collaborate with cross-functional teams to ensure data integrity and availability, leveraging Big Data technologies and AWS services to enhance data processing capabilities.
Top Benefits:
401-K
Commuter Benefits
Company Outings
+16 More
17 Days Ago
United States
Remote
7,509 Employees
Expert/Leader
7,509 Employees
Expert/Leader
Cloud • Information Technology • Software
As a Principal MLOps Engineer, you will architect and optimize ML inference platforms, collaborate with teams for engineering solutions, and lead high-performance teams in developing efficient inference systems.
Top Benefits:
401-K
Company Outings
Dental Insurance
+19 More
17 Days Ago
USA
Remote
689 Employees
Senior level
689 Employees
Senior level
Cloud • Marketing Tech • Sales • Software
The Senior Analytics Engineer designs and optimizes data systems using Snowflake and dbt. Responsibilities include collaborating with sales, marketing, and finance analytics teams, developing data models, overseeing dbt projects, analyzing product performance, building financial models, and maintaining data quality and governance.
Top Benefits:
401-K
Company Equity
Company Outings
+31 More
17 Days Ago
USA
Remote
1,288 Employees
Senior level
1,288 Employees
Senior level
Automotive • Other
As a Senior AI Researcher at Cerence, you will architect and implement advanced generative AI models for ASR and TTS applications, optimizing large language models for accuracy and efficiency. You will collaborate with cross-functional teams to develop customized solutions and stay updated on the latest advancements in AI and language modeling.
17 Days Ago
United States
Remote
40 Employees
135K-175K Annually
Entry level
40 Employees
135K-175K Annually
Entry level
Software
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.
17 Days Ago
USA
Remote
38 Employees
Entry level
38 Employees
Entry level
Software
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.
17 Days Ago
USA
Remote
96 Employees
Senior level
96 Employees
Senior level
Software
The Senior Applied AI Scientist will drive research and development in NLP, TTS, and computer vision, mentoring engineers and managing projects. The role involves implementing cutting-edge technologies and supporting the growth of the AI team to deliver high-quality outputs for Speechify's services.
17 Days Ago
US
Remote
1,398 Employees
Entry level
1,398 Employees
Entry level
Edtech
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.
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