Top Data Engineer Jobs

As a Data Engineer II, you'll build and operationalize data solutions, design complex data systems, perform analysis on data sources, and collaborate across teams to support and educate on data products. Your role will influence the analytics landscape and involve addressing complex data management challenges.

As a Data Engineer II, you will construct and operationalize complex data solutions, perform data analysis, ensure data quality and governance, and collaborate across teams to support analytic processes. Your role involves designing and deploying data solutions that enable business insights and AI-driven strategies.

The Data Engineer will collaborate with a team to design and deliver data infrastructure that supports various applications and analytics tools. Responsibilities include developing data pipelines and APIs and ensuring the end-to-end lifecycle of these applications through continuous delivery.

The Data Engineer will design, implement, and optimize database systems, enhancing data infrastructure while collaborating with stakeholders and Agile teams. Responsibilities include application design, coding, testing, managing engineering risks, and supporting user queries. Significant experience with data warehousing, ETL processes, and cloud data architecture is required.

The Performance Science Data Engineer role involves utilizing data science techniques to enhance live entertainment experiences, focusing on analyzing performance metrics and improving overall event execution. The position may collaborate cross-functionally to drive data-driven decisions and optimize audience engagement.

The Data Engineer I designs and maintains enterprise-level data pipelines, implementing complex processes that interact with a centralized data warehouse. Key responsibilities include developing data extracts, creating SQL queries, and collaborating with analysts and architects on data pipeline design. The role involves testing, debugging, and thoroughly documenting data processes.

The Snowflake Data Engineer is responsible for designing, building, and maintaining scalable data infrastructure utilizing Snowflake to support business priorities. This involves creating data pipelines, managing ETL/ELT processes, ensuring data quality, and collaborating with stakeholders to drive data governance and quality initiatives.

The Data Engineer will work with Data Science consultants to design and launch efficient data pipelines, address data gaps, and ensure data quality while collaborating with various stakeholders to meet client data needs and develop analytic solutions.

Sia Partners is looking for a Data Engineer to create data models, develop data pipelines, and present data through visualization tools. Responsibilities include designing reliable data systems, addressing data gaps, automating data flow, and contributing to client projects and internal Data Science efforts.

As a Senior Associate Data Engineer at Publicis Sapient, you will leverage AWS to lead data migration projects, build complex data pipelines, and provide technical expertise on data integration solutions, all while mentoring junior team members.

The Data Engineer will work closely with software engineers to aggregate various data sources and develop actionable dashboards for business leaders at a premier banking client.

As a Principal Data Engineer, you will design and maintain scalable data pipelines and ETL processes, work with stakeholders to understand requirements, ensure data quality, and optimize performance of data infrastructure. You will also participate in on-call rotations for data platform support and keep updated on industry trends.

As a Senior Data Engineer, you will develop analytics-driven solutions for GM organizations, build analytical datasets, collaborate with Researchers and Data Scientists, automate data processes, and adopt cloud-first technologies. The role emphasizes the use of data engineering best practices while fostering a culture of continuous learning within the team.

Collaborate with Agile teams to design and implement technical solutions. Utilize programming languages and cloud services to develop data solutions. Conduct reviews, perform unit tests, and mentor team members. Engage with product managers to create user-centric cloud-based applications.

As a Data Engineer at Wealthfront, you will build and maintain core datasets, collaborate with various stakeholders, ensure data quality, design scalable data pipelines, and manage reporting tools, all to support data-driven decision making and automation within the company.

As a Staff Data Engineer, you will lead the development of data systems to support AI and Remote Sensing insights, design scalable data access pathways, mentor engineers on best practices, and collaborate with cross-functional teams to enhance products through effective data management and technical leadership.

The Senior Staff Data Engineer will lead the design and implementation of data architecture and engineering initiatives. Responsibilities include developing ETL processes, collaborating with business partners, optimizing data accessibility, and maintaining data models and warehouses to enhance analytics capabilities.