Top Senior Level Data Engineer Jobs

Design, build, and optimize systems for Backend Manufacturing data collection, storage, access, and analytics at scale. Create data pipelines, manage MFG data, develop data set processes, optimize data retrieval, and develop visualizations for stakeholders.

The Senior Data Engineer at OneSignal will design, build, and maintain data systems to ensure reliable data access across various business functions including sales, marketing, and operations. Responsibilities include connecting data sources, improving data flows, creating ETLs, and implementing data validation processes.

The SQL Database Administrator will monitor, maintain, and troubleshoot SQL databases for Q2's SaaS products, support customer implementations, perform maintenance during weekends, and participate in on-call support. The role requires critical thinking to resolve database issues and involves documentation of processes.

The Head of Emerging Technology & Data Science is responsible for driving advanced technology and analytics integration within Hartford Funds. This role involves leading innovation in AI and machine learning, collaborating with stakeholders to identify solutions, and maintaining a catalog of AI solution patterns. The individual will report on progress, serve as a thought leader, and represent the company in the investment community.

The Senior Data Engineer will design and develop data ingestion templates and ETL processes, create an ontology structure for aerospace manufacturing, implement data reconciliation solutions, and develop monitoring solutions. They will also collaborate on building domain-specific data applications and establish data management controls.

Seeking a Senior Database Engineer with 10+ years of MongoDB DBA experience to provide operational support, design and build database systems, implement security controls, and work on cloud deployments.

The role involves driving the data science and analytics initiatives by partnering with go-to-market leaders to define KPIs, analyze customer behavior, and build a data-driven culture in a rapidly growing AI organization.