Top Data Engineer Jobs

As a Principal Data Engineer at Material Bank, you will design scalable database systems for an eCommerce catalog, emphasizing BOM management and decentralized data ownership. Responsibilities include creating data models, developing ingestion pipelines, and ensuring data quality across multiple platforms. You will also lead the development of a self-serve data infrastructure for domain teams to autonomously create and manage data products.

The Data Science Developer analyzes large datasets, develops machine learning algorithms, collaborates with medical professionals and software engineers, designs software tools for medical image processing, implements deep learning architectures, and ensures compliance with regulatory standards.

Lead a team of data engineers in developing and managing an AI self-service portal and associated microservices. Collaborate with product owners and data analysts to enhance data platforms, optimize data collection, and build effective data pipelines. Guide best practices in software engineering and participate in the implementation of cloud-based solutions using Azure and Databricks.

Design, implement, test, deploy, monitor, and support new and existing modules of the Data Platform for a high-tech home security company. Collaborate with external companies, internal teams, analysts, and data scientists to analyze data and ensure home security. Embrace a hybrid work model with flexibility between office and home.

The Senior Engineer, Data Scientist will analyze telemetry from memory products, develop machine learning models, and create data visualization reports. Responsibilities include statistical analysis, collaborating with teams, and communicating results to enhance product quality and reliability.

The Staff Data Engineer will lead the development of AI-driven data solutions, create real-time data pipelines, define architecture for Cloud Data Platform, and mentor staff on data engineering best practices, while collaborating with various teams to achieve enterprise data initiatives.

As a Senior Data Engineer, you will build and maintain data pipelines, working closely with various teams to support analytics needs. You'll participate in architectural decisions and promote best practices for data processing and modeling, influencing the company’s data systems and operations.

The Cloud Data Engineer III will architect, develop, and implement cloud data solutions. Responsibilities include optimizing data pipelines, implementing ETL processes, and working with big data technologies on AWS. The role involves collaborating with software engineers and data scientists to maintain and enhance existing data systems.

The Senior Data Science Engineer will develop data solutions, manage scalable data processing platforms, oversee algorithms for data acquisition and model improvement, and mentor junior engineers. Responsibilities include collaborating with teams, documenting solutions, and making informed decisions on services and applications.

The Lead Data Engineer will lead the development and implementation of data integration solutions. Responsibilities include managing a team, designing robust data pipelines, ensuring data quality, and optimizing workflows. This role involves collaboration with stakeholders and mentoring junior members in a fast-paced environment.

As a Data Engineer, you will design, build, and maintain data pipelines and integration processes while collaborating with data scientists and analysts to ensure efficient data flow across the organization.

The Data Engineering Lead at Equip will oversee the development of data infrastructure and pipelines, ensuring data availability and reliability to improve patient lives. Responsibilities include designing engineering projects, providing technical guidance, maintaining data quality standards, and collaborating with stakeholders.

The Cloud Data Architect will mentor and support data engineers, review work to implement best practices, manage production processes for data ingestion and transformation, and engage with clients to provide architectural solutions. Responsibilities include designing scalable data frameworks, enhancing security and resiliency, and leveraging cloud technologies for data management.

The Mainframe IBM z/OS - Adabas/Db2 Administrator will manage test data for mainframe applications, coordinate with QA teams, analyze data requirements, perform data refresh and scrambling, document processes, and ensure compliance with cybersecurity standards.

As an MLOps Specialist, you will design and implement data systems and architectures to enhance data science processes. Collaborate with data scientists to improve modeling pipelines, build infrastructure, and handle data transformation. This role involves deploying models in production environments, utilizing cloud services like AWS, and supporting a team-oriented culture.

As a Data Engineering Consultant at CompassX, you will solve complex data challenges for clients using modern tools. Your role involves designing and implementing data solutions including ETL and reporting while leveraging your experience in data warehousing. You will consult with clients to understand their business needs and collaborate closely with the leadership team.

The role involves working with a team to deliver data engineering solutions in a financial services environment, supporting client wellness and health management through innovative technology and services.