Top Data Engineer Jobs

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

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.

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.

As a Data Engineer, you will build data solutions for trading, ensuring data quality and collaborating with researchers to support decision-making.

The Principal Data Engineer will lead the Data Resolution team, focusing on complex data challenges using Spark, system architecture, and mentorship, to optimize graph data pipelines.

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

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 Data Engineer, you'll build scalable data pipelines, design cloud-native infrastructure, and unify various data sources while collaborating with teams to deliver insightful data solutions.

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 Data Migration Engineer, you'll convert client banking data to the Q2 platform, troubleshoot issues, and manage multiple migration projects.

The Staff Data Engineer will design and optimize data pipelines, collaborate with stakeholders, mentor team members, and lead architectural decisions in data infrastructure.

As a Data Engineer at Equifax, you will design and build data pipelines, use AI capabilities, and support the data platform for analytical solutions.

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

As a Data Engineer, you will build and optimize data pipelines, ensuring accurate data delivery that informs pricing and market analytics at Alt.

The Data Developer & Analyst/Report Writer develops data pipelines, analytics solutions, and reports to support decision-making across Northeastern University.

As a Lead Data Engineer, you will develop and optimize ETL/ELT pipelines and manage data workflows, ensuring data quality and supporting cloud-based migrations.

As a Data Engineer, you'll build data pipelines, develop dbt models, manage Airflow tasks, and provide support for data-related issues.

As a Data Engineer, you will develop and optimize data pipelines, ensure data quality, and support AI/ML initiatives by designing complex data solutions.

Design, build and scale data pipelines, optimize performance and security, collaborate with cross-functional teams, and develop APIs and ML services.

As a Data Engineer, you will design and build scalable data pipelines and models, maintain data governance, and collaborate with AI engineers while ensuring data quality and compliance.

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

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

The Data Engineer will design and implement data architectures, manage data ingestion and transformation, and support the data ecosystem for investment strategies.

The Data Analytics Engineer will manage data integration, create dashboards, analyze healthcare data, and support decision-making in a collaborative environment.

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.