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Full-time
bachelor degree
Paid Time Off, Unplugged Days, Flexible Work From Home Policy, Mental & Physical Wellness Programs, Phone And Internet Reimbursement, Continued Career Development
Posted 2d ago
~40 hrs/week
Remote in Texas, United States
Responsibilities
Design and implement high-performance query engine components for the Impala engine to ensure low latency and scalability. Lead projects in distributed systems and collaborate with product managers to identify and resolve performance bottlenecks.
Requirements
Requires 8+ years of professional software development experience with expertise in C++ or Java and database concepts. A Bachelor's degree in Computer Science or equivalent experience is preferred.
Full job description
Business Area:
Engineering
Seniority Level:
Mid-Senior level
Job Description:
At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.
At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.
This role is not eligible for immigration sponsorship.
Impala is an established SQL Data Warehouse engine that facilitates low-latency analytical queries on petabyte-scale data. Impala is employed by many fortune 500 companies for a wide range of analytic workloads, from subsecond interactive dashboards with hundreds of concurrent users to rich data exploration.
Cloudera actively contributes to the open-source Impala project (http://impala.apache.org/) while also extending it to serve as the data warehousing component of Cloudera Data Platform (CDP) and in containerized environments as Cloud Data Warehouse (CDW). We are looking for a seasoned engineer who is familiar with databases, HPC, and distributed systems to help us drive innovation and maintain industry-leading performance of the Impala engine.
As a Staff Software Engineer you will:
Design and implement query engine components for low latency and scalability
Lead projects in adding new functionality in distributed systems and dealing with concepts of performance, fault-tolerance
Design and implement Impala features in both the on-premise and cloud space
Contribute to productivity, process and infrastructure improvement
Work with product managers and customers to understand requirements
Analyze large-scale distributed systems to identify performance bottlenecks, scalability issues, failure points, and security holes
Formulate and present your architecture and design documents internally and to the open source community
Contribute to software productivity process and infrastructure improvements
Publicize Impala through blogs and conference presentations
We are excited if you have (Required experience):
8+ years of professional software development experience; a Bachelor’s degree in Computer Science or equivalent experience is preferred
Experience leading and delivering complex product enhancements
Experience in writing high-performance, enterprise-quality code in C++ or Java
Familiar with database concepts and Linux development environments
Strong troubleshooting, debugging, and performance tuning skills.
Excellent communication skills
You may also have:
Prior involvement in open source community, especially related Apache technologies
Experience with data warehouse and/or database internals
Experience with cloud platforms, Kubernetes, and cloud object storage
Why this role matters:
You will tackle complex distributed systems challenges, crafting the foundational software for the control and data planes that powers CDP and CDW and keeps it running at massive scale. Working at the forefront of hybrid and multi-cloud technology, you will empower data scientists, engineers, and analysts with the tools and infrastructure they need for advanced analytics and modeling.
Collaboration is key, you will work alongside brilliant minds across product, data science, and engineering to drive innovation, standardize best practices, and shape the future of enterprise AI and data platforms. This is your chance to build the future of data and see your work make a global impact.
ImpalaSQL Data WarehouseDistributed SystemsC++JavaLinuxKubernetesCloud Data WarehouseCDPCDWApache TechnologiesHPCPerformance TuningScalabilityFault-ToleranceOpen Source
Cloudera is the only data and AI platform company that brings AI to data anywhere: in clouds, data centers, and at the edge. Cloudera delivers 100% of data in all forms–whether it is in Cloudera or anywhere in the entire data estate. The world’s largest organizations rely on Cloudera to fuel insights that boost bottom lines, safeguard against threats, and save lives. Learn more at Cloudera.com.
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Recruitment Fraud Alert
It has come to our attention that job seekers have been contacted about fake job opportunities with Cloudera from individuals fraudulently posing as Cloudera employees. These recruiting fraud schemes often include requests for personal information and payments.
Be aware that Cloudera will never request a payment as part of its recruitment process. Additionally, Cloudera will never make a job offer without conducting an interview process. Any information submitted to Cloudera in relation to a job application should only be through our official career portal (https://www.cloudera.com/careers.html). Email communications from Cloudera will come from an email address ending in @cloudera.com.
If you are the target of a recruiting scam, consider filing a report with law enforcement authorities. Cloudera is not responsible for fraudulent job offers and/or any claims, damages, expenses, or other inconvenience connected to recruiting scams.
Offices: 5470 Great America Pkwy, Santa Clara, California 95054, US · 1180 Avenue of the Americas 8th floor, New York, New York 10018, US · 220 Horizon Drive, Suite 117, Raleigh, North Carolina 27615, US · 1420 Spring Hill Road, Suite 600, McLean, Virginia 22102, US · 53 State St, Boston, Massachusetts 02109, US
Big DataCloud Computingmachine learningcloudAnalyticsArtificial IntelligenceDatabasesOpen SourceData ScienceOpen Source
Cloudera is the only data and AI platform company that brings AI to data anywhere: in clouds, data centers, and at the edge. Cloudera delivers 100% of data in all forms–whether it is in Cloudera or anywhere in the entire data estate. The world’s largest organizations rely on Cloudera to fuel insights that boost bottom lines, safeguard against threats, and save lives. Learn more at Cloudera.com.
---------------------------------------------------------------------------------
Recruitment Fraud Alert
It has come to our attention that job seekers have been contacted about fake job opportunities with Cloudera from individuals fraudulently posing as Cloudera employees. These recruiting fraud schemes often include requests for personal information and payments.
Be aware that Cloudera will never request a payment as part of its recruitment process. Additionally, Cloudera will never make a job offer without conducting an interview process. Any information submitted to Cloudera in relation to a job application should only be through our official career portal (https://www.cloudera.com/careers.html). Email communications from Cloudera will come from an email address ending in @cloudera.com.
If you are the target of a recruiting scam, consider filing a report with law enforcement authorities. Cloudera is not responsible for fraudulent job offers and/or any claims, damages, expenses, or other inconvenience connected to recruiting scams.
Offices: 5470 Great America Pkwy, Santa Clara, California 95054, US · 1180 Avenue of the Americas 8th floor, New York, New York 10018, US · 220 Horizon Drive, Suite 117, Raleigh, North Carolina 27615, US · 1420 Spring Hill Road, Suite 600, McLean, Virginia 22102, US · 53 State St, Boston, Massachusetts 02109, US
Big DataCloud Computingmachine learningcloudAnalyticsArtificial IntelligenceDatabasesOpen SourceData ScienceOpen Source