Top Data Engineer Jobs

CapTech seeks Data Engineers to develop data pipelines on AWS, Azure, or GCP, collaborating to optimize data architecture solutions.

The Data Engineer will develop data pipelines and products on cloud platforms, advise clients on technology, and ensure optimal data architecture.

Responsible for designing and developing scalable data pipelines and platforms, collaborating with stakeholders, and ensuring data quality and compliance.

The Data Engineer will build data pipelines for measuring advertising effectiveness, working with large data sets and collaborating with Data Scientists.

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

The Data Analytics Engineer II will build and maintain data pipelines, validate data consistency, and ensure user privacy in a healthcare setting.

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.

The Staff Data Engineer will build and manage a data lake, optimize data pipelines, collaborate with teams, and support AI projects while ensuring quality data solutions.

As a Data Engineer at Monte Carlo, you will build and maintain data pipelines, collaborate with data science teams, and enhance pipeline reliability using the company's own product.

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.

The Data Engineer Intern will combine data sources, optimize data delivery, create data models, and perform automated testing to assist internal stakeholders with data-driven insights.

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 Senior Databricks Data Engineer will manage client engagements, deliver ETL solutions, and improve data processing. Responsibilities include project planning, pipeline design, and collaboration with team members.

Develop, manage, and optimize data pipelines and ETL processes, collaborate with Data Science teams, and ensure data quality standards.

As an Associate Data Engineer, you will troubleshoot data issues, support data flows, validate data and assist in documentation while ensuring compliance with data governance standards.

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

The Data Engineer will design and implement data pipelines and models, optimize data storage strategies, and ensure data quality while collaborating with machine learning teams.

Develop and optimize data processing infrastructure for robotic systems, enabling data access and visualization, supporting engineering teams with insights from logs.

The AWS Cloud Data Engineer will design, develop, and enhance AWS data environments, build scalable Data Lake solutions, and lead proofs-of-concepts into production.

The job involves leveraging AWS and Snowflake for data engineering tasks within a technology-focused company, requiring US residency.

Develop and build data structures and pipelines, write ETL processes, collaborate with Data Science, and ensure data quality for insights.