Top Data Engineer Jobs

Develop and manage SQL databases, optimize queries and pipelines, implement ETL workflows, and ensure data security and integration. Requires robust coding skills for cloud infrastructure support.

Lead data engineering projects, build data pipelines, design data models, develop ETL/ELT processes, and ensure data quality for actionable insights.

The Senior Consultant - Data Engineer will build scalable data systems, manage data pipelines, and enhance data lifecycle processes to drive business decisions.

The Data Engineer will design and maintain ETL pipelines on Databricks, ensuring data quality and performance for banking applications, while mentoring junior engineers.

As an Analytics Engineer, you'll manage the data stack, design database architecture, build data pipelines, and oversee reporting and data quality.

The Data Engineer will implement and optimize data pipeline architectures, develop ETL/ELT processes, enforce data governance, and collaborate with teams to ensure data integrity, quality, and availability.

The Associate Data Engineer will participate in a training program focusing on data solutions, helping enterprises with data projects post-training. Responsibilities include effective communication, teamwork, problem-solving, and resourcefulness.

The role involves ETL data engineering, data warehousing, performance tuning, data modeling, and ensuring data quality within Azure Synapse Analytics. Responsibilities include collaborating with teams, monitoring ETL jobs, and maintaining documentation.

The Data Engineer will build and optimize data pipelines and infrastructure, ensuring data quality for analytics and machine learning initiatives while collaborating with teams to develop data solutions.

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.

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 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.

The Data Engineer role focuses on building and maintaining data pipelines, integrating various data sources into a cloud platform, and ensuring data quality and security in an Agile setting.

The Enterprise Data Engineer designs and delivers data solutions, develops data pipelines, and contributes to Agile team processes while mentoring others.

The Data Engineer will design, build, and maintain ETL/ELT pipelines, contribute to data infrastructure, and collaborate with teams to ensure data quality and governance.

The Data Engineer will execute data architecture projects, manage data ingestion processes, ensure data quality, and transition data to new systems while collaborating with investment teams.

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

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

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.

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

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.

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.

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 II will develop and maintain data pipelines, implement Lakehouse architecture, ensure data quality, and collaborate with teams to improve platform offerings.