Spark jobs

Robotics Engineer

Staff Engineer - Quality & Reliability Bangalore, Karnataka posted: Posted 4 Days Ago

Databricks Developer Ashburn, VA posted: Posted 30+ Days Ago

Associate Director, Quality Systems USA MD - Sparks - 7 Loveton Circle posted: Posted 30+ Days Ago

International Regulatory Affairs Specialist USA MD - Sparks - 7 Loveton Circle posted: Posted 8 Days Ago

Mechanical Engineer

Senior Software Engineer - Data Platform (Spark & Trino) Canada, BC, Vancouver posted: Posted 2 Days Ago

Sr. Staff Engineer, Cell Development Office - 4353 North 1st Street posted: Posted 30+ Days Ago

Manager Clinical Monitoring Operations USA MD - Sparks - 7 Loveton Circle posted: Posted 8 Days Ago

Staff Data Scientist - Infrastructure Mountain View, California P-57 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping work on top priorities for the company. The Data team also functions as an in-house, production "customer" that dog foods

Sr Data Architect, Databricks 5 Locations posted: Posted Yesterday

Senior Staff Electrical Engineer Fremont, California posted: Posted 22 Days Ago

Principal Clinical Research Associate USA MD - Sparks - 7 Loveton Circle posted: Posted 30+ Days Ago

Senior Lead, Process Excellence & Business Transformation Vilnius, Lithuania posted: Posted 30+ Days Ago

Senior Member of Technical Staff- Data Lens Senior Member of Technical Staff- Data Lens

Senior Data Engineer Vilnius What success looks like in this role: Design, build, and maintain scalable ETL/ELT data pipelines. Develop and manage data models, data lakes, and data warehouses. Ensure data reliability, integrity, and performance across systems. Implement best practices for data governance, security, and compliance through strong architecture and design principles. Optimize data processing using distributed frameworks such as Spark. Work with cloud platforms such as Azure, Databricks, and to a smaller extent AWS or GCP to build scalable data infrastructure. Collaborate with developers, architects and stakeholders to align business requirements and deliver clean and accessible datasets. Monitor, troubleshoot, and improve existing data workflows. Implement CI/CD pipelines and data testing frameworks for data workflows. Stay up-to-date with emerging technologies, tools, and best practices in both application development and data engineering. You will be successful in this role if you have: At least 5+ years of experience in data engineering or related roles Strong proficiency in programming languages commonly used in data processing and application development including Python(must have) and good understanding of Scala or Java Hands-on experience with both SQL (must have) and NoSQL databases, ensuring efficient data modeling, storage and transformation. Hands-on experience with Spark as main distributed data processing frameworks Experience with data warehouses (Snowflake, Redshift, BigQuery) and data lake technologies (S3, Delta Lake, Iceberg, etc.) Experience building pipelines using tools such as Airflow, Apache NiFi, or Prefect Familiarity with cloud platforms especially Azure (preferred against AWS & GCP) and deploying scalable applications Experience with Databricks is

Senior Quality Engineer, Instrument Plant USA MD - Sparks - 7 Loveton Circle posted: Posted 15 Days Ago

Sr. Product Manager, Blood Culture USA MD - Sparks - 7 Loveton Circle posted: Posted 15 Days Ago

Dual Fuel Engineer

Quality Engineer II - Instrument Plant USA MD - Sparks - 7 Loveton Circle posted: Posted 17 Days Ago

Senior Engineer - Electrical Bangalore, Karnataka posted: Posted 9 Days Ago

Packer - Swing Shift 3PM-11PM M-F ACD Sparks NV posted: Posted 24 Days Ago

Staff Forward Deployment Engineer Singapore CSQ426R258 As a Staff Forward Deployment Engineer (DE/AI Spike), you will be part of the Professional Services team and work with clients on short to medium term customer engagements solving their big data problems using Apache Spark™ and the Databricks Data Intelligence Platform. You will be in a customer-facing role that requires deep hands-on expertise in Apache Spark™ and data engineering, along with a variety of knowledge of the big data ecosystem. You will guide our largest customers, implementing pipelines from data engineering through model building and deployment, plus other technical tasks to help customers to get value out of their data with Databricks. You will report to the Director, Professional Services. The impact you will have: - You will guide customers as they implement transformational big data projects, including end-to-end development and deployment of industry-leading big data and AI applications - You will assure that Databricks best practices are being used within all projects and that our quality of service and implementation is strictly followed - You will facilitate technical workshops, discovery and design sessions, customer requirements gathering and scoping for new and existing strategic customers - Assist the Professional Services leader and project managers with level of effort estimation and mitigation of risk within customer proposals and statements of work - Architect, design, develop, deploy, operationalize and document complex customer engagements individually or as part of an extended team as the technical lead and overall authority - Knowledge transfer, enablement and mentoring of

Supply Chain & Logistics Lead - SPARK Denver, CO - US, Denver, Colorado, USA Crusoe is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack - from electrons to tokens - to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that - with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role: Crusoe is a vertically integrated AI Factory company with a mission to accelerate the abundance of energy and intelligence. Our competitive advantage-"Speed is the only moat"-is directly tied to our ability to rapidly