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The Data Engineer Architect will design, implement, and operate data management systems for intelligence needs. Responsibilities include formulating system objectives, developing complex problem-solving processes, and applying advanced engineering methods for system requirements. The role requires knowledge of data systems architecture and adherence to classification guidelines in a classified environment.
The Senior Lead Software Engineer will design, develop, and maintain data ingestion pipelines, collaborate with various stakeholders to ensure data quality, identify and resolve performance bottlenecks, and implement data security measures. They will also provide management services using development languages and maintain documentation of processes.
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.
As a Data Engineer Intern, you will work with the Data Engineering team to define metrics, manage data quality, and develop data solutions. You'll assist in data acquisition, transformation, and reporting processes while collaborating with various teams to improve product engagement and efficiency.
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As a Data Engineer II, you'll modernize and scale the data warehouse, collaborate with data analysts and engineering teams, ensure data quality, and define metrics for company decision-making using a modern data stack.
The Data Engineer II role at Bestow involves building scalable data solutions, improving data quality and availability, creating data models and pipelines for analytics and machine learning, and collaborating with various teams to ensure efficient data management.
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
The Application Engineer is responsible for designing, implementing, and deploying software features with high quality. They mentor junior engineers, oversee application and architecture decisions, manage risk, and ensure solution reliability. The role requires collaboration with various stakeholders and leadership in technology practices at Discover.
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.
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 Data Engineer for Snap Inc, you will collaborate with various stakeholders to develop and manage scalable ETL pipelines, implement data warehousing solutions, ensure data integrity, and uphold data governance standards. You will also build tooling to enhance data consumption and maintain data security practices while supporting data pipelines on call.
The Data Engineer will collaborate with engineering, product, data science, and governance teams to build scalable ETL pipelines, manage data warehousing solutions, ensure data integrity, and maintain data security practices. The role requires developing solutions that support high-quality dataset availability for stakeholders.
As a Data Engineer, you will work closely with various stakeholders to create and maintain high-quality datasets. Your responsibilities include developing data pipelines, ensuring data quality, supporting data tools, and effectively communicating complex processes to non-technical audiences.
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.
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 I at Strive Health focuses on building pipelines using data from various sources including claims and clinical data to operate kidney care services at scale. This role involves analyzing source system data, ensuring data quality, and supporting the development of cloud-based architecture components.
The Senior Cloud Data Engineer will design, develop, and enhance data solutions and pipelines, driving data-driven decisions. Responsibilities include collaborating with teams, building cloud-native solutions, optimizing data pipelines, and mentoring junior engineers.
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.
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 Data Engineer at Peloton, you will build and maintain data pipelines to support analytics across business verticals. This involves working with engineering teams to implement data lake ingestion and collaborating on best practices for data platform development. You will process large data volumes for business insights and reporting.
As a Principal Data Engineer, you will deliver high-quality software releases, define application architecture, develop and optimize the data platform, mentor junior engineers, and collaborate with teams to meet business requirements. Additionally, you will stay updated with the latest trends in business intelligence, manage projects, and promote best practices in reporting and analytics.
The Data Engineer Senior at PNC's Enterprise Data Management Technology organization plays a pivotal role in leading data governance initiatives, designing and implementing scalable solutions, integrating systems and data sources, and collaborating with multi-disciplinary teams to enhance data quality and adapt to new technologies.
The Sr People Analytics Data Engineer is responsible for applying engineering best practices to develop software solutions, mentor team members, conduct code reviews, identify data quality issues, and propose fixes. They should have advanced programming skills and experience in agile methodologies.
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