Top Hybrid Data Engineering Jobs

The Senior Data Engineer will design and optimize database schemas, manage ETL processes, debug issues, and lead engineering efforts while mentoring junior engineers.

The Database Administrator manages databases, collaborates with engineering, implements changes, ensures high availability, and supports various stakeholders in a MySQL environment.

The role involves designing and maintaining ETL/ELT pipelines, integrating diverse data sources, automating Fabric environments, and collaborating with global teams on data solutions.

Lead Data Engineers at Capital One will design, develop, and implement data solutions, collaborating with Agile teams and utilizing various technologies to drive data transformation and deliver impactful cloud-based solutions.

The Manager, Data Scientist will lead the Alternate Data Strategy team in developing innovative solutions for evaluating alternative datasets and building machine learning models to enhance decision-making processes.

Lead Data Engineers at Capital One design, develop and support technical solutions using big data technologies and cloud computing, collaborating with Agile teams to enhance data processing and analysis capabilities.

The Lead Securities Quantitative Analytics Specialist will enhance financial models, focusing on software engineering, DevOps best practices, and improving library performance in collaboration with various teams.

Lead the development of scalable data platforms and analytics systems, overseeing teams in building data pipelines, advanced algorithms, and dashboards for data-driven decision making.

The Senior Analytics Engineer will design data models, build data pipelines, and support analytics needs across teams, enhancing data infrastructure.

The Log Specialist at Dynatrace leads log management initiatives, collaborates with sales, architects data ingestion solutions, and advocates for enhanced log consumption strategies.

The Logs Specialist manages log solutions, partners with sales, leads proof of concepts, and optimizes log consumption while advocating best practices for clients.

Collaborate with data scientists to extract features, preprocess data for machine learning, monitor data quality, and optimize data pipelines using engineering best practices.

As a Senior Data Engineer, you will design and maintain scalable data models, build production data pipelines, and support analytics across various business functions.