Top Data Engineer Jobs

Lead the evolution of SimplePractice's data stack, building scalable systems for analytics, reporting, and product insights in a fast-paced environment.

The Data Engineer will design, develop, and optimize large scale data pipelines and ensure effective data delivery for cross-functional teams.

The role involves building and improving data engineering solutions, designing ETL/ELT pipelines, and working with data modeling, warehousing, and cloud platforms to support influencer marketing at Influur.

The role involves leading the design, development, and migration of the enterprise Data Warehouse to cloud platforms, managing delivery from requirements to deployment, and mentoring teams.

The Data Engineer role focuses on designing and implementing data pipelines, collaborating with stakeholders, ensuring data quality, and optimizing data processing workflows.

The Sr. Informatica MDM Data Engineer will lead the development and management of MDM platforms, ensuring data integration, quality, and governance. Responsibilities include designing data pipelines, maintaining data models, and collaborating with cross-functional teams to align MDM initiatives with business objectives.

As a Data Engineer, build efficient data processing systems, model data to support analytics, and collaborate with teams to enhance Netflix's data-driven culture.

The Data Engineer will maintain and optimize data pipelines, manage infrastructure, support ML workflows, and collaborate with teams on data products.

The Data Engineer designs, builds, and maintains systems for data storage and analysis, collaborates with teams, and optimizes data architecture and pipelines.

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.

Lead Data Engineer responsible for building and maintaining data solutions, automating processes, managing data transfers, and providing leadership on data engineering best practices.

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 Solutions Engineer will lead data migration to Guidewire PolicyCenter, manage ETL workflows, and ensure data quality and compliance throughout the migration process.

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

The Principal Data Engineer will modernize the Bank's data architecture, lead governance practices, mentor staff, and integrate analytics solutions using Microsoft Fabric.

The Cloud Data Engineer will design, implement, and manage data solutions on Microsoft Azure, create and maintain data pipelines, and ensure data security for decision-making processes.

As a Data Engineer Apprentice, you will maintain data pipelines, automate workflows, and collaborate on projects while completing the AI and Machine Learning bootcamp.

Seeking an experienced Data Engineer to design and optimize data infrastructure, build scalable pipelines, and ensure data quality and governance.

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.

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.

This role offers training for aspiring Data Engineers, focusing on technology of choice, interview preparation, and skill enhancement with guidance on OPT STEM extension.

The role involves architecting blockchain systems and smart contracts, integrating blockchain data, and overseeing technical design and implementations to enhance digital asset capabilities.

The Junior Data Engineer will develop data processing capabilities using Python, SQL, and Snowflake to support financial modeling and analytics within the bank.

The role involves building data pipelines, developing machine learning models, and improving actuarial and finance functions, collaborating with various teams.

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