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Top Data Engineer Jobs in Austin, TX
The Principal Data Engineer in Prognostics will lead the design and implementation of advanced diagnostics and prognostics products in the automotive sector. Responsibilities include providing technical guidance, developing software architecture, ensuring compliance with industry standards, mentoring team members, and driving innovation in prognostics methodologies.
As an Informatica Data Engineer at PwC, you will design and implement ETL data pipelines, collaborate with teams to gather requirements, ensure data quality, and contribute to client engagements. You will also focus on continuous learning and the development of your skills to deliver high-quality work.
As a Senior Associate in PwC's Data and Analytics team, you will design and build ETL jobs using Informatica PowerCenter, analyze complex problems, mentor others, and develop client relationships while maintaining high professional standards.
The Google Cloud Data Engineer will design and build data infrastructure and systems, develop data pipelines, and transform data for clients. The role involves leadership responsibilities, including mentoring team members and delivering client expectations, while ensuring quality and managing performance. The engineer also collaborates on technical solutions, ensuring data security and governance compliance.
The role involves leading data engineering efforts, focusing on designing data infrastructure and systems. Responsibilities include developing data pipelines, integrating and transforming data, and guiding teams through complex challenges. The position requires strategic advisory skills, effective communication, and the ability to coach and motivate others while promoting a diverse and inclusive team environment.
The Data Engineering Manager at PwC will design and develop data solutions, manage data pipelines, and ensure efficient data processing. They will lead and mentor teams, manage project execution, and uphold company standards, while integrating business insights into data architecture.
As a Senior Data Engineer at Atlassian, you'll build and maintain data lakes and pipelines while collaborating with stakeholders to optimize data ingestion and processing. You'll develop micro-services, leverage modern development practices, and focus on data quality to enhance user experience in a fast-paced environment.
As a Senior Data Engineer, you will focus on building and maintaining data infrastructure, creating and optimizing ETL pipelines, and collaborating with analysts to ensure efficient data delivery. This role requires innovations in database design and proactive monitoring of data consistency.
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As a Senior Data Engineer, you will optimize data pipelines and build data assets to support Business Intelligence and Advanced Analytics. This role requires collaboration with Data Scientists and Developers, while focusing on improving internal processes, creating analytic datasets, and addressing business partners' data needs.
The Marketing Technology Data Engineer will oversee data architecture for data integration, transformation, and activation. Key responsibilities include building solutions for real-time and batch data management, developing CI/CD data models, improving data quality, and leveraging Google Cloud tools. Collaboration with cross-functional teams is essential to meet product and client needs.
As a Staff Software Engineer, you will innovate distributed data storage and processing systems, enhancing query performance and creating user-friendly data interfaces for various applications. You will mentor engineers, ensure high-quality engineering processes, and help shape product strategy with a focus on scalable solutions.
Design and build data models to support Data Science and Business Intelligence, develop APIs and data products, monitor data pipelines, coordinate cross-team efforts, and work with business partners to document requirements.
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