TigerData is looking for a skilled and innovative Data Engineer with expertise in building scalable data infrastructure and a passion for enabling data-driven decision making across the organization. You will play a crucial role in designing, building, and maintaining the data systems that power our analytics, product insights, and business intelligence initiatives. Data Engineers at Timescale are essential for ensuring our teams have reliable, accurate, and accessible data to make informed decisions.
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The Data Engineer participates in the design and build of modern data products that comprise of raw data stores (data lakes) and cleansed data repositories, populated by batch or streaming data pipelines. The Data Engineer works with a team to create a robust, sustainable and flexible design and leads the technical delivery using Agile delivery frameworks like Scrum or Kanban.
RYZ is seeking a Senior Data Engineer with 5+ years of hands-on experience building and scaling data infrastructure. This is a high-impact role that involves end-to-end ownership of data pipelines, close collaboration with cross-functional teams, and contributions to the client's analytics and ML workflows.
Transform data into analysis-ready formats to empower both candidates and internal teams to make impactful, data-driven decisions. You will design, build and maintain dbt data models that power candidate tools and internal analytics. The Analytics Engineer will report directly to the Chief Technology Officer in this remote, full-time position.
As a Python Analytics Engineer at Solace, youโll own the systems and data models that turn complex healthcare data into actionable insight. Youโll partner closely with analysts, data scientists, and engineers to build robust data pipelines, semantic layers, and curated data marts that enable powerful self-serve analysis across the company. You have a deep understanding of data modeling and workflow automation.