The DMS Data Engineer is responsible for analyzing raw data, building data systems and pipelines, conducting complex data analyses, and collaborating on projects to enhance data quality and reliability.
Analyze and organize raw data
Build data systems and pipelines
Evaluate business needs and objectives
Interpret trends and patterns
Conduct complex data analysis and report on results
Prepare data for prescriptive and predictive modeling
Build algorithms and prototypes
Combine raw information from different sources
Explore ways to enhance data quality and reliability
Identify opportunities for data acquisition
Develop analytical tools and programs
Collaborate with data scientists and architects on several projects
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead strategy and execution for the Vault data & AI security product bundle, owning roadmap, cross-functional coordination, regulatory compliance, encryption, code signing, log export, and AI-native security features to scale monetizable, enterprise-grade security capabilities and drive adoption.
Top Skills:
Agentic SystemsAICode SigningEncryptionIdentity And AuthenticationLog ExportProcess AutomationSecopsServicenow PlatformVault
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead CEGs global partner strategy and execution for a $300M+ partner portfolio. Own partner governance, commercial management, vendor relationships, and partner-enabled delivery. Drive partner performance, capacity planning, executive relationships, strategic programs, and AI/automation-enabled service models while advising senior leadership and aligning cross-functional stakeholders.
Top Skills:
AIAutomationServicenow
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Drive new SaaS license revenue through account and territory planning, build C-suite relationships, orchestrate account teams, position ServiceNow and AI for clients' IT roadmaps, and close enterprise deals while traveling up to 50%.
Top Skills:
AISaaSServicenow
What you need to know about the San Francisco Tech Scene
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)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- 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

