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There are now 3 Remote Jobs at ScalingData tagged Engineer, Big Data and Executive
such as Infrastructure Engineer Big Data, Application Engineer and Engineering Project Manager

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ScalingData


Engineering Project Manager

Engineering Project Manager


ScalingData


exec

engineer

exec

engineer

5yr

Stats (beta): 👁 964 views,✍️ 0 applied (0%)
As an Engineering Project Manager at ScalingData you will drive releases and programs from both an Engineering and cross functional perspective. You will play a key role working with ScalingData Engineering, Sales Engineering and Product Management to plan and drive Product releases. This position requires a team player and a self-starter with experience leading cross-functional tactical and detailed oriented projects. A successful candidate has a great track record of effectively getting things done and uses resources efficiently. The project manager will track tasks and decisions, monitor process, progress, and results. Must be able to quickly grasp multiple new technical concepts and lead the team through assessment of goals, risks, dependencies, and timelines.\n\nAll teams at ScalingData care about developing customer empathy, people over technology, consensus over competition, team success over personal, allowing failure and supporting success, listening before talking, open decision making, and diversity and inclusiveness. 

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ScalingData


Application Engineer

Application Engineer


ScalingData


engineer

engineer

5yr

Stats (beta): 👁 686 views,✍️ 0 applied (0%)
\nScalingData’s application engineering team designs, builds, and tests data-driven web applications that solve critical business problems. The systems we build handle billions of events per day, allowing users to visualize, interact with, and understand machine data in ways previously not possible. Engineers who are interested in highly interactive well-designed applications with a focus on large scale analytics, visualization, machine learning, and data products will feel at home.\n\nSome of the technology we use:\n\n\n* Java, Scala, Javascript\n\n* Hadoop, Solr, Kafka, Impala, Hive, Spark, D3, Angular\n\n* AWS, Jenkins, Github, JIRA\n\n\n\n\nAll teams at ScalingData care about developing customer empathy, people over technology, consensus over competition, team success over personal, allowing failure and supporting success, listening before talking, open decision making, and diversity and inclusiveness.

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# How do you apply? This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.
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👉 Please reference you found the job on Remote OK, this helps us get more companies to post here!

When applying for jobs, you should NEVER have to pay to apply. That is a scam! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. Scams in remote work are rampant, be careful! When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.

ScalingData


Infrastructure Engineer Big Data

Infrastructure Engineer Big Data


ScalingData


engineer

big data

engineer

big data

5yr

Stats (beta): 👁 951 views,✍️ 0 applied (0%)
\nScalingData's build infrastructure engineering team builds and maintains our internal build, test, continuous integration, packaging, release, and software delivery systems and infrastructure. Engineers who are interested in devops, configuration management, build systems, and distributed systems will feel at home thinking about developer efficiency and productivity, simplifying multi-language builds, automated testing of complex distributed systems, and how customers want to consume and deploy complex distributed systems in modern data centers. The build infrastructure team is a critical part of the larger engineering team. Distributed systems are hard, but building the infrastructure to develop them is harder.\n\nBy building on big data technologies such as Hadoop, help us create the essential solution for identify and solving critical performance and compliance issues in data centers. \n\nSome of the technology we use:\n\n\n* Java, Go, C/C++\n\n* Hadoop, Solr, Kafka, Impala, Hive, Spark\n\n* AWS, Maven, Jenkins, Github, JIRA\n\n\n

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# How do you apply? This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.
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👉 Please reference you found the job on Remote OK, this helps us get more companies to post here!

When applying for jobs, you should NEVER have to pay to apply. That is a scam! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. Scams in remote work are rampant, be careful! When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.