Top Senior Level Data Engineer Jobs
Summarize findings for logical presentation, develop & maintain databases, analyze complex data, fulfill ad hoc data requests accurately, collaborate with business contacts, proficient in Microsoft Office, strong communication skills, attention to detail, problem-solving capabilities, ability to work independently and meet deadlines.
The Sr Data Architect will design and manage data systems and pipelines, overseeing junior engineers and leading data collection projects. Responsibilities include defining data architecture, modeling efforts using DataBricks, collaborating with BI teams, and implementing internal process improvements. The role requires the creation of data-related documentation and working with data engineering teams to enhance functionality.
The Data Architect will design and optimize data models and databases, assist clients with database administration and development, and ensure data accuracy and accessibility. Responsibilities include creating data connections, optimizing data management processes, supporting BI reporting, and defining user access models.
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The MLOps Engineer will develop systems and APIs for inference and fine-tuning of large language models, implement runtime systems for production-level ML training, and collaborate with various teams for deploying and maintaining ML inference systems.
As a Lead Data Engineer at Stellic, you will design scalable architectures, build data pipelines, mentor teams, and drive alignment on engineering priorities while ensuring high-quality implementations.
The Data Developer will create a modern data platform, enhance data models, build scalable ETL pipelines, ensure data quality, and develop analytics tools in collaboration with various teams.
As a Senior Machine Learning Engineer at Radiant Security, you will design and develop scalable ML solutions for SaaS applications. You will collaborate with data scientists, manage ML lifecycle, ensure efficient model serving, and maintain data integrity, while keeping up with the latest technologies to enhance outcomes.
The Manager Data Analytics Engineer will oversee the data warehouse pipeline, ensuring data quality, creating data models, and developing data assets. Responsibilities include integrating data from various sources, creating visualizations and reports, and mentoring team members while collaborating with technical and business stakeholders.
As the Product Analytics Lead, you will partner with the Product team to set product strategy and drive growth through data analysis, experimentation, and insights. Responsibilities include synthesizing data into visualizations, identifying growth opportunities, leading A/B testing, and communicating results to stakeholders.
As a Data Architect at Acqueon, you will develop technical strategies to build scalable applications and systems, collaborating with product teams to define the roadmap for product feature development, and managing the delivery of complex features in a fast-paced environment while ensuring quality and timely delivery.
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