Top SQL Developer Jobs

The Data Engineer II is responsible for expanding and optimizing data architecture, data flow, and collection for cross functional teams. They engage in data mapping, data pipelines, data modeling, and data consumption throughout project lifecycles. The role includes supporting multiple teams' data needs, optimizing company data architecture, and taking on projects of moderate scope and complexity.

The Lead Data Engineer will be responsible for expanding and optimizing data pipeline architecture, data flow, and collection for cross functional teams. They will drive data initiatives and ensure optimal data delivery architecture throughout projects. The role involves data mapping, data modeling, and data consumption. The Lead Data Engineer must be self-directed, support multiple teams' data needs, and optimize the company's data architecture for future products and initiatives.

The Lead Data Engineer is responsible for optimizing data architecture and pipelines, ensuring consistent and efficient data delivery for various teams. They engage in all project phases, from data mapping to consumption, and work on complex data-related issues to support business operations and strategy.

The Lead Data Engineer will optimize data architecture and pipelines, manage data flow for teams, engage in project lifecycles, solve application errors, validate QA test plans, develop data transformations, and support decision-making through BI datasets. They will also conduct data analysis and document all phases of work.

As a Senior Analytics Engineer at Lob, you will design data pipelines, develop data models, and collaborate with various teams to deliver actionable insights. You will implement analytics best practices, mentor engineering colleagues, and advocate for data governance and quality metrics, while leveraging your experience in data visualization and analytics tools.

The Data Engineer will be responsible for expanding and optimizing data architecture, data pipelines, and data flow for cross functional teams. They will work on data initiatives from mapping to consumption, supporting multiple teams and systems. The role involves solving complex application errors, designing data transformations, creating BI datasets, and conducting data analysis.

The Lead Data Engineer is responsible for optimizing data pipelines and data architecture across multiple teams. They handle data mapping, modeling, and integration for various projects and ensure that the data delivery architecture meets ongoing project needs. The role requires problem-solving skills and collaboration with the QA team, as well as documentation of processes and change management.

The Lead Data Engineer will optimize data architecture and pipelines, drive data initiatives, and ensure consistent data delivery for cross-functional teams. Responsibilities include troubleshooting application errors, developing data transformations, creating BI datasets, conducting data analysis, and documenting project phases.

As a Senior Analytics Engineer, you will support analytic products by developing transformations for vehicle telemetry data, collaborating with data scientists and engineers, designing data models, and implementing dashboards for data visualization and quality monitoring.

As a Principal Data Engineer, you will drive the direction of the Data Warehouse, design and optimize ingestion pipelines, and mentor team members. You will ensure data accuracy, monitor pipelines, comply with regulatory requirements, and collaborate with internal teams for comprehensive data integration.

Responsible for maintaining scalable, reliable, and repeatable data systems for Reporting, Analytics, and Data Science. Develop and implement code, scripts, and tools for ETL/ELT processes. Profile data quality and integrity. Collaborate with stakeholders and automate workflows for efficient data delivery.

Develop and maintain data platforms, architect data pipelines, and collaborate with stakeholders to drive operational efficiencies. Improve system performance and ensure data security and compliance. Share knowledge through documentation and mentoring.

As a Senior Data Engineer, you will collaborate with Agile teams to design, develop, and implement technical solutions using various technologies. You will focus on big data technologies, cloud-based solutions, and ensure code quality through testing and reviews. You’ll also stay updated on technology trends and mentor team members.

The Big Data Engineer will create and optimize data engineering pipelines, support data and cloud transformation initiatives, and work with stakeholders to deliver enhanced functionalities. The role involves utilizing big data processing frameworks and maintaining automated ETL processes while collaborating with software engineers and data scientists.

As a Senior Data Engineer at Hinge, you'll design and optimize data pipelines, support foundational product services, and collaborate with teams to drive data-driven decisions. You'll enhance the Data Engineering stack, advocate best practices, and maintain analytics data for insights and strategies while ensuring smooth operations through on-call participation.

Seeking an experienced database architect with C/C++ knowledge to contribute to designing and building the core of RaptorDB, a HTAP database used at massive scale. Responsibilities include collaborating with database-internals engineers, developing solutions in C/C++, analyzing performance bottlenecks, and partnering with cross-functional teams to enhance the database engine.

As a Sr. Data Engineer at Capital One, you'll collaborate with Agile teams to design and implement technical solutions, leveraging programming languages and cloud services. Responsibilities include developing big data technologies, supporting cloud-based solutions, conducting unit tests, and mentoring peers to enhance engineering practices.