Top Data Engineer Jobs

The Lead Data Engineer will design and develop technical solutions, collaborate with agile teams, and implement cloud-based data solutions, focusing on real-time data applications and big data technologies.

As a Lead Data Engineer, you will design and develop solutions, collaborate with teams on data technologies, and support cloud-based data warehousing and big data applications.

The position involves building and managing Snowflake Data infrastructures, developing ETL/ELT pipelines, and supporting AI/ML initiatives, all while ensuring data quality and compliance.

Design, build, and optimize ETL pipelines and data workflows. Collaborate with teams to translate requirements into data solutions, ensuring data quality and efficiency.

The Lead Cloud Data Engineer will design and optimize ETL pipelines, manage data quality, and collaborate with teams to meet data needs. Responsibilities include monitoring pipelines and mentoring junior engineers, while leveraging AWS and other cloud technologies.

The AWS Data Engineer designs and maintains data solutions on AWS, implementing scalable pipelines, integrating systems, ensuring security, and optimizing workflows.

In this role, you will build and scale data pipelines, develop ETL workflows, ensure data quality, and support AI-driven applications by preparing datasets.

Design, develop, and maintain data solutions to ensure data availability and quality for analytics. Build data pipelines, optimize database designs, and perform data integration and transformation.

As a Data Engineer II, you will design and support ETL/ELT data pipelines, work with AWS, Snowflake, and collaborate within an Agile team on data initiatives.

Data Engineers at Rhombus Power design and implement data infrastructure, develop and maintain data pipelines, and work cross-functionally to support analytics and machine learning initiatives.

Design, build, and maintain Azure Lakehouse architectures, process large datasets using Spark and Databricks, and optimize ETL/ELT pipelines.

The Data Engineer will develop data platforms, manage ELT pipelines, ensure data quality, optimize Snowflake performance, and collaborate with various teams to support AI initiatives.

As the first in-house Data Engineer, you will own the data infrastructure, build and maintain data pipelines, and collaborate with teams to ensure quality data access and insights.

The Senior Data Engineer will manage Oracle Exadata Database Machines, ensuring operational availability, performance engineering, and automation, along with infrastructure architecture and lifecycle management.

As a Senior Lead Data Engineer, you'll lead a development team, design and implement data solutions using machine learning, distributed systems, and full-stack technologies, while collaborating with Agile teams and ensuring code quality.

As a Lead Data Engineer at Capital One, you will design and implement data solutions, optimize data pipelines, and collaborate with Agile teams to enhance data quality and governance.

Lead the evolution of data platform by designing scalable pipelines, improving data processes, mentoring teams, and modernizing data architecture.

The Senior Data Engineer will design and optimize large-scale batch and streaming data pipelines using Scala and Spark, oversee the data engineering lifecycle, and engage in technical discussions to improve system efficiency.

Design and maintain data models in Snowflake to serve as the company's source of truth, ensuring they are clean, queryable, and ready for AI integration. Collaborate with multiple departments to deliver trusted datasets and eliminate inefficiencies in data management.

As a Data Analytics Engineer, you'll build and manage data models in Snowflake, structure datasets for optimal AI performance, and own data transformation while ensuring quality and accessibility for all teams.

The Data Engineer is responsible for building and maintaining ETL/ELT pipelines, optimizing data storage formats, managing CI/CD pipelines, and creating visualizations with actionable insights, focusing on reliability and data quality.

This role involves designing and implementing database solutions, collaborating with teams, and ensuring data security and performance for customer projects.

Design and implement scalable database solutions, collaborate with teams, configure database environments, ensure performance and security, and provide technical guidance.

The Data Engineer will lead data lifecycle strategy, manage data acquisition and cleansing, and collaborate with teams to optimize data solutions and architecture.

The Principal Data Engineer will lead the Data Resolution team, focusing on complex data challenges using Spark, system architecture, and mentorship, to optimize graph data pipelines.