Top Senior Level Data Engineer Jobs
As a Product Data Engineer at xAI, you will utilize models and algorithms to develop innovative consumer products and experiences, scaling them to millions of global users. Responsibilities include data curation for large models, ensuring quality in human annotation, and using data to inform product direction.
The Head of Data & Analytics will own the data stack, drive insights, and partner with product, engineering, and operations teams. Responsibilities include developing analytics capabilities, building dashboards, owning the data science roadmap, and ensuring data-driven decision-making across the organization.
As Principal Google Analytics Developer, you'll design and implement advanced solutions for website development and data-driven strategies. Your role includes optimizing SEO, leading mobile app instrumentation, and guiding teams in content marketing. With a senior focus, you'll create reusable architectures and push innovative ideas to enhance the company's digital presence.
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The Oracle Database Administrator (DBA) is responsible for maintaining, configuring, and operating Oracle Databases crucial for sensitive operations. Responsibilities include database management in Windows and Linux, performance monitoring, troubleshooting, backups, data recovery, and managing SQL/PLSQL queries.
Seeking an experienced Senior Data Engineer with 8+ years of hands-on expertise in data engineering to shape data architecture and pipelines for a fast-paced, data-driven environment. Responsibilities include leading the design and implementation of innovative data solutions, collaborating with cross-functional teams, and working on industries such as Oil & Gas, Titles & Leases, or Financial Services.
The Senior Data Engineer at onX is responsible for creating and maintaining the data ecosystem to enhance data discoverability. Responsibilities include designing scalable data pipelines using GCP services, developing data models, optimizing data processing for performance, ensuring data quality and security, and collaborating with cross-functional teams for effective data solutions.
The Product Analytics Engineer at GEICO will analyze data to provide quantitative insights, develop data models, and support product management teams through effective communication and problem-solving. Responsibilities include leading delivery of initiatives, implementing go-to-market strategies, and maintaining high standards in communication and risk management.
As a Low-Latency Rust Data Engineer, you will develop and maintain high-performance data pipelines, integrate exchange data, and support trading teams with efficient data architecture in a fast-paced trading environment.
The Lead CSV Engineer/Analyst at Verista is responsible for authoring and executing technical documentation for system validation, conducting user interface testing, and collaborating with engineering teams to ensure compliance with industry standards. The role involves risk assessments and modifications based on testing results.
The Database Engineer 2 at Themis Insight will provide technical expertise for database design, development, implementation, data flow, and analysis. Responsibilities include leading development of database structures, parser software, loading software, and supporting Python based ReST endpoints and microservices.
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