Top Hybrid Data Engineering Jobs

The role involves designing data pipelines, developing metrics and visualizations, collaborating with teams to track product KPIs, and ensuring data integrity within a cybersecurity environment.

The Senior Lead Data Engineer will design, develop and support technical solutions, lead teams, and utilize various programming languages and cloud services to solve complex business problems.

The role involves developing and deploying advanced quantitative models, utilizing machine learning and cloud solutions, and collaborating with various business lines to enhance financial processes.

The Senior Lead Data Engineer will drive major technological transformations, lead development teams, and design innovative data solutions while utilizing cloud services and big data technologies.

The Senior Data Engineer will design and maintain ETL pipelines, integrate operational data, and create analytics to enhance decision-making for AI Ops.

Lead design, build, and maintain scalable data pipelines and warehouses. Drive technical roadmap, mentor engineers, implement data quality/testing/monitoring, optimize performance and cost, and collaborate cross-functionally to ensure reliable data for BI, ML, and applications.

The Data Engineer will build datasets and pipelines for marketing and sales reporting, collaborating with various teams to support data needs and ensure scalable solutions.

Build and own end-to-end sales data pipelines and curated marts in Snowflake/dbt; implement monitoring, tests, and governance; run reverse-ETL to operational systems; partner with Sales, Ops, Finance, and People to deliver production-ready analytics products.

The Associate Data Engineering role focuses on building data solutions and pipelines, learning from senior engineers, and participating in a structured tech program.

Design, build, and maintain cloud-based data pipelines and products (batch and streaming). Develop microservices, orchestration, and feature stores in AWS. Partner with stakeholders, automate ETL, enable self-service analytics, and mentor junior engineers.

As a Staff Data Engineer, you develop data products, design data for analytics, and support Precision Ag business through data insights and tools. You will harmonize data, implement data pipelines, and lead teams on complex projects, ensuring efficient and impactful solutions for agriculture.

Lead development of scalable data solutions that integrate deep learning. Manage data quality, metadata, and facilitate cross-functional data initiatives for business value.