Top Data Engineer Jobs

The Data Analytics Developer will design and optimize data pipelines, ensure data quality, and collaborate with cross-functional teams to support decision-making through effective reporting.

Data Engineers at Rhombus develop and maintain data infrastructure, automate processes, and collaborate with teams to support national security insights.

The Data Engineer will design data pipelines, ensure optimal data delivery architecture, and collaborate with application teams to optimize data flow and processes.

The Data Engineer will support data management, build scalable data pipelines, perform data analysis and cleanup, and create reports and visualizations.

The Data Engineer II will build and operationalize complex data solutions, perform analysis, collaborate across teams, and troubleshoot data issues. They will also ensure data governance, security, and quality while leveraging emerging technologies.

As a Cloud Data Engineer, you will develop and maintain data pipelines using Microsoft Azure or Snowflake, collaborating with analysts and architects to ensure efficient data flow and insights. Responsibilities include designing data solutions, ensuring data security, and troubleshooting data workflows.

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.

The Staff Data Engineer will define the technical strategy for enterprise data systems, build and optimize data pipelines, and provide architectural leadership while mentoring teams and ensuring data excellence.

As a Senior Data Engineer, you will design and implement scalable data systems, collaborate with teams to create data solutions, enforce best practices, and enhance data processing performance.

The Senior Data Engineer will manage data infrastructure, optimize data pipelines, ensure data quality, and support data-driven decision-making through collaborative work across teams.

As a Senior Data Engineer, you will lead data infrastructure projects, manage ETL pipelines, collaborate with analysts, and improve data models and processes.

As a Senior Data Engineer, you will build and implement technical solutions, working with Agile teams and various data technologies to enhance data-driven decision making.

As a Senior Lead Data Engineer, you'll design, develop, and support solutions, lead teams, and drive cloud-based data transformations.

Design, implement, and maintain scalable data pipelines and solutions using Python and AWS services, focusing on data quality and optimization.

As a Data Engineer, you will design and maintain data pipelines, conduct data analyses, and collaborate with teams to derive actionable insights from healthcare data.

Design and build data pipelines for loading and transforming data for consumer use, focusing on BigQuery and automation.

As a Senior Data Platform Engineer, you will develop tools for data quality checks, enhance data lineage framework, and improve data infrastructure performance.

The Data Engineer supports data acquisition, curation, and transformation, focuses on developing data pipelines, and collaborates on data architecture and governance initiatives.

As a Senior Data Engineer, collaborate to design, develop, and support data solutions, utilizing various programming and big data technologies in an Agile environment.

As a Senior Data Engineer, you will design, develop and support technical solutions, collaborate with teams, and utilize technologies like Python, SQL, and cloud-based data warehousing.

The Senior Research Engineer will curate large datasets, automate data pipelines, optimize queries, and support data-driven research impacting business outcomes.

As a Senior Data Engineer at Hinge, you'll develop essential data processes, build and maintain data pipelines, and support data-driven decision-making within the Trust and Safety team.

The Data Engineer II will develop data solutions for product modernization, manage complex data, and ensure quality, governance, and security of data products.

Design and develop ETL workflows, process Kafka streams, and implement data transformation to generate insights and compliance reports.

The BI Data Engineer will build data pipelines, develop data models, conduct analyses, and drive BI tool usage across teams.