Top Data Engineer Jobs

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.

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.

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.

Responsible for infrastructure and operations of data storage solutions, third-party integrations, data provisioning services, and ETL/ELT code-based solutions. Develop and implement ETL/ELT pipelines, design databases, and optimize queries for web applications. Work collaboratively with data scientists, programmers, and IT teams in a global setting. Preferred experience in Clinical Data and Regulatory Governance in Pharma Industry.

The Data Engineer at ICF Next will collaborate with data scientists and stakeholders to ensure data availability and integrity. Key duties include monitoring data systems, optimizing database performance, translating business use cases to solution architecture, and implementing best practices for data management and governance.

The AWS Data Engineer II develops and operationalizes data pipelines for consumption and advanced analytics, ensuring high-quality data processing across environments. Responsibilities include designing data management procedures, maintaining real-time processing applications, and identifying improvements for data reliability and efficiency.

The Lead Data Engineer at Capital One is responsible for designing, developing, testing, and implementing technical solutions. The role involves collaborating with Agile teams, mentoring engineers, and delivering cloud-based solutions. Key technologies include machine learning, microservices, and data warehousing services.

The Sr. Snowflake Data Engineer will design, build, and deploy end-to-end data pipelines and ETL processes using Snowflake and Azure services. Responsible for optimizing data models, troubleshooting DevOps pipelines, and ensuring performance tuning on cloud-based DW solutions for financial clients.

Lead Data Engineer role at a leading industrial distributor focusing on centralizing and integrating high-quality, complex data sets in a scalable cloud platform. Responsibilities include designing data pipelines, working with architects, implementing data models, enabling data discovery, building frameworks, and mentoring team members. Requires 10 years of experience in modern data engineering projects and proficiency in various technologies and tools like AWS, Snowflake, Python, Docker, Kubernetes, and BI tools like Tableau and PowerBI.