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As a Principal Data Engineer, you will lead the technical direction of NBC News Digital's data infrastructure, design scalable data pipelines, collaborate with cross-functional teams, mentor junior engineers, and ensure data governance and quality for innovative solutions.
As a Principal Data Engineer, you'll advance BlackLine's Enterprise Data Platform, ensuring data quality, governance, and security. You'll architect solutions for complex design problems, mentor developers, and manage projects effectively while staying updated on industry trends and best practices in data engineering.
The Data Engineer will develop and implement data solutions to meet business requirements, create data pipelines, conduct testing, and troubleshoot issues. The role includes working with SQL for data analysis and collaborating with various stakeholders to ensure data infrastructure is effective and meets architectural standards.
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 Senior Manager of Data Engineering at Capital One, you will lead a team in designing and implementing full-stack data solutions, focusing on emerging technologies, machine learning, and cloud-based services. You'll collaborate with Agile teams, manage people, and ensure effective delivery of robust data systems to enhance financial empowerment for customers.
This role focuses on implementing data services, modifying data architecture, and enhancing overall data processes. Responsibilities include troubleshooting data job failures, implementing database structures, and collaborating to design end-to-end data solutions. The position requires intermediate knowledge of SQL, Python, and various data tools for efficient data management and visualization.
The AI Data Engineer will lead the development of datasets for AI training and testing, collaborating with engineering and product teams to define data specifications, optimize processes, and automate the data lifecycle. Responsibilities include managing data annotation quality, gathering various types of data, and improving efficiency in data handling.
The Senior Data Engineer at PNC will design and maintain scalable data pipelines and ETL processes, ensuring high performance and reliability. Responsibilities include collaborating with stakeholders, optimizing data architectures, monitoring workflows for data quality, and staying updated on industry trends. This role combines technical proficiency with leadership in mentoring junior engineers.
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The Data Engineer will build data pipelines and applications to support generative AI initiatives. Responsibilities include defining data requirements, executing ETL/ELT processes, designing and scaling data pipelines, optimizing internal processes, and working collaboratively with IT and business leaders to enhance data delivery.
As a Data Engineer at Bonterra, you will design scalable data models, build data pipelines, and deliver analytical solutions to empower nonprofit clients. You'll collaborate with cross-functional teams, solve complex data challenges, and mentor colleagues to promote best data engineering practices.
In this role, you'll modernize and scale the data warehouse, collaborating with various teams to design and develop data models. You'll implement tests for data quality, create metrics for decision-making, and define best practices in data modeling, improving data self-service capabilities.
The Senior Manager, Data Engineer at Capital One will lead a team of developers focusing on full-stack development, big data, and cloud computing. Responsibilities include collaborating with Agile teams, designing technical solutions, mentoring engineers, and delivering cloud-based systems to improve customer financial experiences.
As a Managed Services Informatica Data Engineer, you will design and implement ETL data pipelines, ensuring data quality and reliability. You will collaborate with teams to understand requirements and support senior staff on projects, while also focusing on continuous learning and personal growth.
As a Data Engineer, you will manage and optimize data pipelines, develop ETL processes using Python, maintain AWS infrastructure, model data across teams, and assist in report generation and debugging.
As a Senior Cloud Data Engineer, you will design, develop, and enhance data analytics solutions and pipelines, collaborate with cross-functional teams, implement data quality checks, and mentor junior engineers. Your role focuses on building cloud-native solutions and optimizing data processes to support data-driven decision-making in the investments sector.
As a Data Engineer I, you will collect, extract, and transform data to enhance observability and availability. You will develop data-driven solutions and build a CI/CD pipeline for data software using modern technologies in a cloud-native environment.
The Data Engineer II will develop and maintain ad-tech related data systems, focusing on data streaming, transformation, and ETL pipelines. Involvement in the entire SDLC is required, with collaboration across teams to ensure integrated and well-tested systems.
As a Principal Data Engineer at Atlassian, you will be responsible for building data solutions that support crucial business decisions. Your role includes developing backend systems, designing data models, managing analytical data pipelines, and enabling a data-driven culture throughout the organization.
The Senior Associate in Data and Analytics at PwC will design and build ETL jobs using Informatica PowerCenter, analyze complex problems, mentor team members, and maintain high standards. The role involves nurturing client relationships and developing a deep understanding of business context while navigating complex situations
As a Data Engineer III, you will design and deliver data collection, storage, and analytics solutions. Responsibilities include developing and maintaining data pipelines, analyzing data patterns, ensuring code quality, and supporting agile methodologies. You will work with diverse data sets and improve software applications and systems.
The Data Engineer Team Lead oversees a team designing and implementing technical solutions for business needs. They integrate and optimize data, troubleshoot database discrepancies, and lead projects from conception to delivery, ensuring data reliability and performance. The role involves collaborating with various teams and advising on best practices while managing project timelines and expectations.
The Data Engineer will be responsible for developing data pipelines, data storage, and data lake solutions for enterprise-wide use. They will work closely with business groups to ensure timely and useful data assets and provide expertise in data engineering best practices.
As an MDM Data Engineer at MassMutual, you will design and implement Master Data Management solutions, develop and optimize data pipelines, manage data ingestion and quality, and collaborate across teams to ensure reliable data management processes.
As a Data Engineer at PwC, you will design and implement data pipelines for ETL processes, collaborate with teams to gather requirements, and ensure data quality and integrity. You will contribute to client projects and engage in continuous learning to enhance your skills.
As a Managed Services Informatica Data Engineer at PwC, you will design and implement ETL data pipelines, collaborate with cross-functional teams, ensure data quality and integrity, and contribute to client projects while continuing your professional development.
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