Mid Level AI Data Engineer Jobs
Mid level ai data engineer jobs go to professionals ready to own data pipelines end to end, make architectural decisions with limited oversight, and mentor junior teammates on best practices. Openings are 35% remote or hybrid across Technology & Software, Investment & Asset Management, and Consulting & Professional Services, with employers like Motional Ad, JPMorganChase, and TikTok hiring at this level now.
Find JobsOverview
Showing 5 of 47+ Mid Level AI Data Engineer jobs











Required Skills Qualifications:
Frontend User Experience Engineering
Frontend UX Backend Integration
Design and develop modern web applications using Reactjs TypeScript and component based architectures
Build intuitive visualization dashboards or workflowdriven applications
Collaborate with UX designers and business stakeholders to create usercentric experiences
Implement responsive and accessible UI components following industry best practices
5 years of hands-on Reactjs development
Strong proficiency in:
Reactjs
TypeScript
JavaScript ES6
HTML5/CSS3
Experience with modern UI frameworks such as:
Material UI
Ant Design
Tailwind CSS
Good understanding of:
User centered design principles
Accessibility standards
Responsive design
Design systems
Databases Graph Neo4j RDBMS
ETL Processes
Data Lineage
Experience with REST APIs and microservices
Knowledge of Nodejs or Python backend frameworks
Familiarity with Git CICD pipelines Docker and Kubernetes
The pay range that the employer in good faith reasonably expects to pay for this position is $30.05/hour - $46.95/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.
Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. 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 and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.
See All 47 Mid Level AI Data Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsMid Level AI Data Engineer Job Market
Who's Hiring



Top Industries Hiring
- Technology & Software15
- Investment & Asset Management6
- Consulting & Professional Services6
- Banking & Financial Services4
- Education3
Mid Level AI Data Engineer Jobs: Frequently Asked Questions
How do I get a mid level ai data engineer job?
Position yourself around ownership, not just execution. Highlight projects where you designed or rebuilt a data pipeline, made a meaningful architectural call, or unblocked teammates. Tailor your resume to show scope, what you owned, what broke before you fixed it, and what improved because of your work. Concrete impact (scale, reliability, speed) consistently outperforms a list of tools.
Which companies hire mid level ai data engineers?
Companies hiring mid level ai data engineers right now include Motional Ad, JPMorganChase, and TikTok, based on current listings on Migrate Mate as of September 2026. Mid level openings come from a mix of large technology firms running mature data platforms and growth-stage companies building AI infrastructure for the first time.
Are there remote mid level ai data engineer jobs?
Yes, remote and hybrid options are common at this level. About 35% of mid level ai data engineer openings are remote or hybrid as of September 2026, reflecting strong employer demand for experienced engineers who can work independently across distributed teams. On-site roles tend to cluster in major tech hubs where employers want closer collaboration on complex systems.
How do I move up to a mid level ai data engineer role?
The path from entry level to mid level comes down to deepening ownership over time. Build toward running a data project from requirements through production without close supervision. Develop fluency in orchestration, model serving infrastructure, or a specific data domain. Demonstrating measurable impact, like improving pipeline reliability or reducing processing costs, signals readiness for the responsibilities mid level roles carry.
Which industries hire the most mid level ai data engineers?
Mid Level ai data engineer roles concentrate in Technology & Software, Investment & Asset Management, and Consulting & Professional Services, based on current listings on Migrate Mate as of September 2026. These sectors drive hiring because they rely on large-scale data infrastructure and machine learning workflows that require engineers who can both build and maintain production-grade systems.