Top Data Engineer Jobs

The Data Engineer II role at Grubhub focuses on enhancing big data infrastructure and refining data pipelines to support growth marketing efforts. The position involves developing automated marketing campaigns, creating dashboards for campaign monitoring, and maintaining data storage solutions while collaborating with analytics teams. The engineer will utilize various technologies to design and implement data architectures and ensure efficient data processing for business needs.

As a Data Engineer at PNC's Capital Markets, you will analyze source data, build ETL processes, maintain data quality, and develop reports for analytics. Collaborate closely with users and business partners to ensure data solutions align with business objectives, implementing robust data migration and transformation activities as required.

Support and improve the Air Force Capability Assessment & Tradeoff Tool (AFCATT) by managing data pipelines, validating data, enhancing data architecture, and integrating data across various applications to inform strategy. Collaborate with product owners and software architects to define technical requirements and improve data management practices for enterprise portfolio management.

Data Engineers will design, implement, and operate data management systems for intelligence needs, focusing on data storage, access, integration, and management. Responsibilities include modeling, processing requirements, report status of data activities, reconstructing data formats, applying semantic modeling techniques, and transforming data models into physical database designs.

The Data Engineer at Arcadia will design, build and test data connectors and ingestion pipelines, contributing to the integration of client claim and clinical data platforms. Responsibilities include peer code reviews, sprint planning, and maintaining JIRA tasks. The role requires problem solving for coding and data analysis issues within a dynamic healthcare environment.

As a Data Engineer, you'll build and maintain cloud infrastructure for streaming data pipelines and messaging solutions, focusing on Kafka integration and performance optimization. Responsibilities include designing data pipelines, automating operations with tools like Terraform, and ensuring security and compliance of data systems.

The Data Engineer will analyze data using various technologies, maintain end-to-end data pipelines, automate processes for real-time data access, and review data science inputs for extensive datasets. They will utilize advanced computational techniques and create strategies for data analysis, model scaling, and data processing environments.

The Telemetry Data Engineer will develop telemetry processing software for launch operations, enhance cloud-native applications, and support performance assessments while delivering high-quality products and documentation.

The Data Engineer will develop and manage data models, pipelines, and transformations using Snowflake and SQL. Responsibilities include optimizing Snowflake schema and compute resources, collaborating with multiple teams, and maintaining data security compliance. A proactive approach to learning new technologies is expected.

As a Data Engineer II, you will design, develop, and maintain data pipelines, tackle complex data issues, create data products for analytics, mentor colleagues, and collaborate with business partners to address data needs. You will leverage various tools and methodologies for building robust data applications and improving team efficiency.

The Data Engineer II will design, develop, and maintain data pipelines for analytics at Chewy. Responsibilities include addressing complex data issues, crafting data products, and collaborating with various teams to integrate new data sources into systems. The role focuses on building scalable applications and supporting data-driven decision-making across departments.

As a Principal Data Engineer, you'll guide the direction of the Data Warehouse, architect, implement, and optimize ingestion pipelines, and collaborate across teams to ensure data-driven decision-making. You'll also mentor colleagues and ensure compliance with regulatory standards while managing high-volume data systems.

The QA Data Engineer enhances quality and reliability of data-driven applications by developing automated validation tools, implementing data verification tests, and designing QA architecture for data processing. Responsibilities include performance testing on AI systems, creating data monitoring systems, and exploring new technologies to optimize data QA processes.

This role involves leveraging technical expertise to discover analytical opportunities, conduct diagnostic discussions, and translate complex business issues into actionable solutions. The engineer will build custom solutions, engage with enterprise clients, and implement systems to enhance operational efficiency.

The Senior Associate Data Engineer will develop, maintain, and test data solutions using the enterprise framework. Responsibilities include executing data integration solutions, contributing to design decisions, troubleshooting production issues, and analyzing domain data to support business needs. Participation in agile ceremonies and collaboration with engineers and stakeholders is essential.

The Quality Assurance Data Engineer enhances data-driven applications by designing automated processes for data validation and verification, ensuring data integrity, and developing scalable QA architectures. Responsibilities include collaborating with data teams, implementing QA frameworks, and exploring new data tools and technologies to optimize data QA processes.

As a Distinguished Data Engineer at Capital One, you will define the future of banking in the cloud, and lead a team to optimize data solutions, manage large data pipelines, and promote engineering excellence. You'll mentor talents, contribute to technical design, and leverage next-generation technologies for practical solutions in fintech.