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 and scale strategic, cross-functional product development programs for APEX. Drive outcomes with metrics, governance, and AI-native ways of working. Build executive relationships, manage risks, synchronize workstreams, and ensure delivery of product innovations that impact revenue and market position.
Top Skills:
Ai ToolsServicenow
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead large, high-visibility cross-functional AI and product programs across APEX. Translate strategy into execution, build governance, drive delivery, use AI to synthesize insights, and scale program processes, templates, and change management while influencing senior stakeholders.
Top Skills:
Ai ToolsServicenowWorkflow Automation
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Drive new software license sales within assigned Chicago/Wisconsin mid-market territory (1,000–5,000 employees). Build territory strategy, qualify prospects, deliver demos, manage accounts, partner with marketing and virtual specialists, and meet quarterly/annual quotas while advising customers on ServiceNow and AI-driven workflow solutions.
Top Skills:
AICRMServicenow
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
