Top Remote Data Engineer Jobs in Dayton, OH

The Compliance Analyst (Privacy) will support the DHS by managing and enforcing compliance with privacy laws. Key responsibilities include drafting compliance documents, developing privacy policies, training staff, and identifying risks to enhance existing compliance programs.

The Applied Scientist will apply advancements in AI technologies such as LLMs, CV, and NLP within the estate planning sector. Responsibilities include fine-tuning and integrating AI models, building Q&A frameworks, and collaborating with engineers to enhance AI quality in production systems.

The Data Engineer will design, build, and maintain data processing pipelines, focusing on ETL from various sources. They will establish database management systems, enhance data flow, and leverage AI and big-data techniques to ensure data integrity and usability for analysis.

As a Staff Data Engineer, you will lead the design, development, and automation of complex data pipelines and processing systems. You'll enable data-driven decision making, enhance product experience, and mentor other engineers while implementing data solutions that align with business needs.

The LLM Data Engineer will design, implement, and maintain data pipelines for Generative AI platforms, focusing on LLM and RAG technologies. Responsibilities include integrating data sources, optimizing workflows, benchmarking vector stores, and ensuring data quality across AI applications.

The VP of Data Engineering at Axios leads the data engineering functions, overseeing teams for Data Engineering, Data Science, and Data Analytics. Responsibilities include managing data architecture, strategy development, technical guidance, team roadmaps, and maintaining best practices across departments. This executive role collaborates with stakeholders, fosters an inclusive team environment, and supports the overall mission of delivering trustworthy news content.

As a Senior Data Engineer at Dwolla, you will design and maintain AWS-based data pipelines, optimize data queries, and ensure performance standards. You will collaborate with engineering teams to leverage data effectively and mentor junior engineers while integrating CI/CD principles into data operations.