Senior Data Engineer - Databricks
Design and optimize scalable Databricks data pipelines and infrastructure, applying data governance practices to improve data quality, lineage, security, and reliability across enterprise data platforms.
Design and optimize scalable Databricks data pipelines and infrastructure, applying data governance practices to improve data quality, lineage, security, and reliability across enterprise data platforms.
Build and optimize production data pipelines on Databricks, integrating diverse sources and delivering reliable, governed data transformations and models in collaboration with cross-functional teams.
Develop and maintain dashboards, automated campaign reporting, and analytical solutions, turning complex datasets into actionable insights that support performance measurement and business decisions.
Analyze Retail Media Network campaign performance and build statistical models, predictive solutions, and dashboards that turn complex data into actionable recommendations for client stakeholders.
Define and strengthen enterprise network and infrastructure security controls, advise client stakeholders on architecture and risk, and guide engineering teams in implementing scalable security standards.
Lead client-facing data architecture for enterprise platforms, translating business needs into secure, scalable solutions while guiding implementation, engineering standards, governance, and delivery from discovery through production.
Design and deliver enterprise GenAI and agentic AI solutions, translating client needs into production-ready architectures and applications while guiding technical strategy, implementation, evaluation, and operational readiness.
Own product delivery for an enterprise Quality AI initiative, translating business needs into actionable requirements and coordinating stakeholders, vendors, validation, and launch to deliver measurable outcomes.
Administer and automate enterprise Oracle Linux and AIX infrastructure, leading Ansible initiatives, resolving complex production issues, and supporting patching, security, virtualization, and operations.
Lead client-facing data engineering engagements from discovery through production, architecting cloud-scale Databricks platforms while guiding teams, setting technical standards, and enabling analytics and AI initiatives.
As a Senior DevOps Engineer, you will lead the technical direction for DevOps, manage complex infrastructure, and mentor engineers while ensuring system reliability and efficiency.
Own the strategy, roadmap, and delivery of analytical data products, partnering with clients and technical teams to turn business needs into scalable solutions and measurable value.
Join a dynamic team as a Software Developer, where you'll design and build scalable applications and AI-powered features while collaborating in an agile environment.
Join ShyftLabs as an Associate AI Engineer to design and build AI-powered features for backend applications, collaborating with experienced engineers and contributing to scalable systems.
As a Senior AI Engineer, you'll design, build, and deploy AI-powered features, integrating ML models and APIs into scalable backend systems while collaborating with cross-functional teams.
Design, build, and scale data-driven platforms and systems as a Senior Backend Developer, focusing on system integrations and intelligent product development.
As a Data Engineer, you will design and maintain scalable ETL/ELT data pipelines, manage data infrastructure, and collaborate with stakeholders to deliver data solutions.
As a Technical Lead, you will design and implement distributed backend systems, optimize performance, and guide the engineering team in building scalable, secure services.
Develop and support Amazon Connect contact center solutions, building Python or Node.js services and React interfaces while testing end-to-end flows and integrating AWS services.
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