Top Data Engineer Jobs

The SAC Lead Data Engineer will design and implement complex data models and integration solutions, managing the SAP Analytics Cloud environment and collaborating with FP&A stakeholders to meet business needs.

The Data Solution Engineer will design and implement data solutions, automate data processes, and enhance data scalability while collaborating with cross-functional teams to improve data efficiency and quality.

The Senior Data Engineer will design scalable data processing frameworks using Java and Apache Spark, manage data pipelines, and mentor junior engineers.

The Senior Data Engineer will build and manage data pipelines in Snowflake, integrate AI systems, and ensure data security and optimization while collaborating across teams to support revenue analytics.

Design and maintain ETL/ELT pipelines for data, optimize workflows for analytics and machine learning, and ensure data quality and governance.

The Senior Data Engineer will focus on pipeline migration and operational stabilization in a remote setting, working with Snowflake and dbt.

As a Senior Data Engineer, you'll optimize and maintain data platforms, develop integrations, and collaborate cross-functionally to enhance analytics and decision-making capabilities.

Design and build data infrastructure and data pipelines, focusing on big data processing, modeling, and automation to support engineering teams at NextSense.

The Data Integration Engineer will design and build scalable data pipelines and manage data warehouses, integrating various data sources and ensuring data quality and operational reporting.

As a Sr. Data Engineering Consultant, you will build and optimize scalable data solutions and mentor teams while collaborating with clients on data modernization projects.

Nagarro seeks an Associate Principal Engineer in Big Data to leverage extensive IT experience for strategic organizational value. The role values self-starters and innovation.

Design and develop data architectures, mentor team members, analyze data needs, and contribute to data engineering solutions to support business insights.

The Senior Data Engineer will design and maintain cloud data pipelines, ensuring data quality and security while collaborating with stakeholders using DBT and AWS.

The role involves guiding customers through cloud data warehousing transformations, providing technical leadership, and assisting in production planning and deployment in various data warehousing technologies.

The Lead Data Engineer will build data platform solutions, manage data ingestion, transformations, and support AI capabilities, collaborating with teams to drive project completion, data governance, and mentoring junior staff.

The Staff Data Engineer designs and builds data platforms and pipelines, ensuring data integrity and collaboration across teams for analytics and reporting.

Lead the technical direction of data engineering by designing ETL pipelines, ensuring data quality, optimizing infrastructure, and mentoring junior engineers.

The Senior Data Engineer will design and optimize data pipelines and ingestion strategies to support analytics and AI across Watts. Responsibilities include implementing data engineering best practices and mentoring junior engineers.

As a Data & Analytics Engineer at Sent, you will design and build data pipelines, develop internal dashboards, and define key performance indicators to enhance data utilization and influence decision-making across the company.

Lead integration engineer focusing on planning, developing, and testing data systems. Collaborate with teams and ensure quality data management.

The Senior Data Engineer leads evaluations of enterprise data integrity, focuses on modernization risks, strengthens data management practices, and ensures operational continuity throughout the data lifecycle.

As a Senior Data Engineer, you'll design and maintain ETL pipelines, ensuring data accuracy and supporting analytics across the organization.

The Senior Data Engineer will design and maintain data pipelines, build scalable data infrastructure, and ensure the availability of high-quality data for analytics and operations at TopDog Law.

The Senior Data Engineer will design and build scalable data platforms, develop event-driven data pipelines, and collaborate with teams to meet technical solutions. Strong expertise in Kafka, Java, and cloud-native applications is required.

Design, build, and operate high-scale streaming and batch data pipelines using Kafka, Flink, and Airflow. Optimize Redshift and Iceberg/Athena performance and cost. Ensure data quality, observability, SLAs, and serve reliable datasets/APIs. Mentor engineers and collaborate cross-functionally to deliver low-latency, production-grade telemetry and analytics data assets.