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Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.
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AlteryxKnimeMicrosoft AccessMicrosoft Sql ServerPythonRSASSpotfireSQLTableau
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Job DescriptionConsultants for various and unanticipated worksites throughout the U.S. (HQ: Chicago, IL). Independently plan and deliver database data warehouse and storage architecture. Maintain and manage design services, provide sizing and configuration assistance and perform needs assessments. Analyze current business practices, processes and procedures. Identify future business opportunities for leveraging data storage and retrieval system capabilities. Manage relationships with potential architectural impact of different vendor strategies. Ensure development of training and documentation for technical architecture, systems use and maintenance. Plan and integrate next-generation database technologies into the architectural strategy. Ensure efficient operation of database software. Mentor junior IT staff. Technical Environment: MapR distribution administration, MapR clusters, Elastic MapReduce; RHEL Administration, upgrades, configuration, evaluation of emerging technologies in Hadoop space; Dremio, R, RStudio; big data clusters, business intelligence tools; AWS Big Data, DevOps, Ansible, Python, Distributed Systems Networking, Kubernetes.
Job Requirements
*Master’s degree in Computer Science, Computer Engineering, or any Engineering Field plus two years of experience in job offered or as an Analyst or in database or software systems administration required. Required Skills: MapR, distribution & clusters, elastic MapReduce, RHEL Administration, upgrades, configuration, evaluation of emerging technologies in Hadoop space; Dremio, R, R Studio; big data clusters, business intelligence tools; AWS Big Data, DevOps, Ansible, Python, Distributed Systems Networking, Kubernetes. Telecommuting permitted. (*Bachelor’s degree in Computer Science, Computer Engineering or any Engineering Field plus five years of progressive experience in job offered or as an Analyst or in database or software systems administration also accepted)
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act.
Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company’s reputation are also essential expectations of this position.
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San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
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- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
