Data Engineer jobs in United States
Explore 857 matching jobs.
Data Engineer, Consultant
Thought Logic Consulting
Posted: 10/20/2026IT Architect, Data Scientist
DLH Corporation
Posted: 10/20/2026Staff Software Engineer – Data Engineer
Walmart
Posted: 10/20/2026Data Engineering Intern
American Family Insurance
Posted: 10/20/2026Senior Staff Data Migration Engineer
Alkami Technology
Posted: 10/20/2026Senior Software Engineer, Data Acquisition
People Data Labs
Posted: 10/20/2026Senior Consultant – Data Platforms, Architecture
3Cloud
Posted: 10/20/2026Senior Data Platform Engineer
Sola
Posted: 10/20/2026Data Architect – Microsoft Fabric
NBCUniversal
Posted: 10/20/2026Senior Data Engineer
Qventus, Inc
Posted: 10/20/2026Manager, Cloud and Data Platform Engineer
CVS Health
Posted: 10/20/2026Senior Data Engineer
Vericast
Posted: 10/20/2026Director, Data Engineering
Healogics, LLC.
Posted: 10/20/2026Data Engineer I
Pekin Insurance
Posted: 10/20/2026Data Engineer
General Dynamics Information Technology
Posted: 10/20/2026Data Engineer
RTX
Posted: 10/20/2026Senior Business Data Engineer
Nex
Posted: 10/20/2026Senior QA Data Engineer
Gradient AI
Posted: 10/20/2026Consultant, Data Engineer
Thought Logic Consulting
Posted: 10/20/2026Lead Data Engineer
Astrana Health
Posted: 10/20/2026
Data Engineer, Consultant
Thought Logic ConsultingCore Competencies
Role fitUse this summary to align your resume positioning with the role.
Demonstrates expertise in AI fundamentals, data governance, and analytical methodologies, with a strong ability to synthesize complex information into actionable insights and polished deliverables. Proficient in stakeholder alignment and cross-functional collaboration, ensuring effective communication and conflict resolution.
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Conduct research and benchmarking to assess AI maturity and industry positioning
- Support intake and prioritization and develop related frameworks through data gathering and analysis
- Synthesize findings into structured insights, reports, and recommendations
- Develop executive-ready process maps, workflow diagrams, RACIs, roadmaps, presentations, and summaries
- Support stakeholder alignment across enterprise architecture, legal, privacy, information security, and business teams
- Build and maintain inventories of AI tools, models, data assets, and vendors
- Draft governance policies, standards, risk classification templates, and tool-usage guidance
- Support documentation of monitoring approaches, model performance tracking, and risk controls with engineering teams
- Participate in governance forums, document decisions, and track action items
- Coordinate stakeholder interviews and document key insights and requirements
- Assist in developing training materials and adoption resources
- Support cross-functional collaboration across legal, risk, compliance, and technology teams
Requirements
What you’ll need- 2–5 years of professional experience in consulting, data analytics, AI/technology strategy, governance, or a related analytical role; OR a recently completed MS or MBA with a concentration in Data Science, Technology, AI, Industrial Engineering, or a related field
- Strong understanding of data and AI fundamentals, including familiarity with Generative AI, Agentic AI, machine learning concepts, data governance, and responsible AI principles
- Excellent analytical and research skills with the ability to synthesize complex information into clear, structured deliverables
- Strong written and verbal communication skills, including the ability to create polished documents, presentations, and process visualizations
- Ability to work collaboratively across teams, build rapport with stakeholders at various levels, and contribute to alignment and conflict resolution in cross-functional settings
- Strong problem-solving orientation with comfort navigating ambiguity and managing multiple workstreams simultaneously
- Proficiency in Microsoft Office (PowerPoint, Excel, Word) and familiarity with collaboration and visualization tools
- Bachelor’s degree in Business, Technology, Data Science, Engineering, Industrial Engineering, or a related field
- Previous consulting firm experience or internship in a strategy, governance, or analytics capacity
- Exposure to AI governance frameworks, data governance programs, or enterprise operating model design
- Familiarity with Snowflake, Databricks, or Palantir Foundry
- Background in Industrial Engineering, operations research, or process optimization methodologies
- Experience with process mapping tools, data visualization, or business intelligence platforms
- Relevant certifications in data, AI, cloud platforms, or project management
Benefits
Comp & perks- Work on transformations that matter, not slide decks that sit on shelves
- Real responsibility and ownership over how work gets delivered and how clients experience us
- Direct access to firm leadership and influence over how we grow and evolve
- A culture that values depth over optics, outcomes over activity, and people over process
- The chance to grow your career in a firm that's scaling thoughtfully and intentionally, not just chasing growth for growth's sake
- The opportunity to flex in a continuous learner environment. Get access and exposure to the latest tools, technologies and trends in the AI space
- Senior strategists and engagement leads who will mentor you and provide hands-on guidance across client engagements
- Supportive environment where ongoing learning and mentorship are central to professional growth
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