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Data Engineer With Ai Jobs (NOW HIRING)

AI Data Engineer - Cortex AI

$117K - $140K/yr

We combine the agility of a scale-up with the discipline and rigor demanded by the most ... About the Role As an AI Data Engineer , you will design and build modern data pipelines and AI ...

Data Engineer

San Francisco, CA · Remote

$134K - $162K/yr

You\'ll work with data from our AI coaching systems, building pipelines to analyze LLM responses ... You\'ll collaborate with product and engineering teams to instrument new features, define events ...

Data Engineer (AI) - Cincinnati

Cincinnati, OH · On-site

$111K - $134K/yr

... lakes and with different software solutions (Snowflake, Azure, SQL, Python); • Provide the ... with AI engineers to align data sources to downstream integration within systems; • Create ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards. Essential ...

Data Engineer

Pasadena, CA · On-site

$124K - $150K/yr

This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards. Essential ...

This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards. Essential ...

Data Engineer

West Palm Beach, FL · On-site

$110K - $133K/yr

This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards. Essential ...

This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards. Essential ...

This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards. Essential ...

Data Engineer

Wakefield, MA · On-site

$90K - $150K/yr

This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards. Essential ...

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Data Engineer With Ai information

See salary details

$44.5K

$129.7K

$177.5K

How much do data engineer with ai jobs pay per year?

As of Jun 21, 2026, the average yearly pay for data engineer with ai in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

Will AI take data engineer jobs?

AI is transforming data engineering by automating tasks like data processing, cleaning, and integration, but it also creates new roles requiring skills in machine learning, cloud platforms, and data architecture. Data engineers who adapt by learning AI tools and techniques can remain valuable in the evolving job market. Overall, AI is changing the role rather than eliminating it entirely.

What is the difference between Data Engineer With Ai vs Data Engineer?

AspectData Engineer With AiData Engineer
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of AI/ML toolsBachelor's in CS, Data Science, or related; strong SQL and programming skills
Work EnvironmentData teams, AI/ML projects, cloud platformsData pipelines, database management, cloud environments
Employer & Industry UsageTech companies, AI startups, data-driven organizationsFinance, healthcare, tech, and other industries
Common Search & Comparison IntentUnderstanding AI integration in data engineeringGeneral data engineering roles and skills

Data Engineer With Ai professionals focus on integrating AI and machine learning into data pipelines, requiring knowledge of AI tools and algorithms. Data Engineers primarily build and maintain data infrastructure. While both roles share foundational skills, Data Engineer With Ai emphasizes AI/ML integration, making it suitable for organizations leveraging AI-driven insights.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, big data tools, and machine learning can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing large-scale data infrastructure.

What is a $900000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as AI executives, senior data scientists, or machine learning directors that offer compensation in this range. These positions often require advanced skills in AI, machine learning, and data engineering, along with extensive experience and leadership responsibilities.

Can a data engineer become an AI engineer?

A data engineer can transition to an AI engineer by developing skills in machine learning, deep learning, and AI frameworks such as TensorFlow or PyTorch. Both roles require strong programming, data processing, and understanding of algorithms, making career shifts feasible with additional training or certifications.
More about Data Engineer With Ai jobs
What cities are hiring for Data Engineer With Ai jobs? Cities with the most Data Engineer With Ai job openings:
What states have the most Data Engineer With Ai jobs? States with the most job openings for Data Engineer With Ai jobs include:
Infographic showing various Data Engineer With Ai job openings in the United States as of June 2026, with employment types broken down into 38% Full Time, 12% Part Time, and 50% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

AI Data Engineer - Cortex AI

TechTorch

Remote

$117K - $140K/yr

Full-time

Posted 29 days ago


Job description

About TechTorch
TechTorch is a high-growth enterprise technology consultancy that partners with the world's leading private equity-backed businesses. We deliver AI-powered solutions, accelerators, and data-driven transformation initiatives that drive measurable value at speed and scale.
Our mission is to redefine enterprise technology consulting for private equity. We combine the agility of a scale-up with the discipline and rigor demanded by the most sophisticated investors and operators.
TechTorch was founded by seasoned leaders - including former Bain consultants, CIOs, and tech executives - with deep expertise in technology, transformation, and value creation. We are not a typical startup. We were built to succeed and to deliver results that matter.
About the Team
TechTorch data and AI teams design and build modern data platforms that power analytics, AI agents, and GenAI-enabled business workflows. We work across Snowflake, AWS, and enterprise systems to enable scalable data products, AI-driven insights, and automation for private equity-backed organizations.
Teams operate globally and collaborate across data engineering, analytics, AI, and delivery disciplines to deliver high-impact, production-grade solutions.
About the Role
As an AI Data Engineer, you will design and build modern data pipelines and AI-ready data platforms with Snowflake as the core warehouse, leveraging Snowflake Cortex AI, AWS Bedrock, and other mainstream AI services. Your work will enable advanced analytics, LLM-powered use cases, and AI-driven automation across enterprise environments.
This role sits at the intersection of data engineering and applied AI. You will ensure data is high-quality, well-modeled, and accessible for downstream analytics, machine learning, and GenAI applications.
What You'll Do
  • Design, build, and maintain scalable data pipelines using Snowflake as the central data platform
  • Develop AI-ready data models and feature layers to support analytics, ML, and GenAI use cases
  • Leverage Snowflake Cortex AI for embedding, classification, summarization, and AI-assisted analytics
  • Integrate and operationalize AI workflows using AWS Bedrock and related AWS services (e.g., Lambda, Step Functions)
  • Build and optimize ELT pipelines using tools such as dbt, SQL, and Python
  • Integrate data from diverse sources including APIs, SaaS platforms, databases, and event streams
  • Ensure data quality, observability, and governance across pipelines and AI workloads
  • Collaborate with AI engineers, data scientists, and business teams to translate use cases into scalable data solutions
  • Document data models, pipelines, and AI-related design decisions clearly for long-term maintainability

Who You Are
  • 4+ years of experience in data engineering, with strong hands-on Snowflake experience
  • Practical experience building AI-enabled data solutions or preparing data for ML/LLM workloads
  • Strong proficiency in SQL and Python for data transformation and pipeline development
  • Experience with Snowflake Cortex AI or similar warehouse-native AI capabilities
  • Hands-on experience with AWS, ideally including AWS Bedrock, Lambda, S3, and IAM
  • Experience with ELT tooling such as dbt, Airflow, or similar orchestration frameworks
  • Solid understanding of data modeling, data warehousing, and performance optimization
  • Comfortable working in cloud-native, enterprise environments with high delivery expectations
  • Strong communication skills and ability to collaborate across technical and business teams

Nice to Have
  • Experience with vector databases or embedding workflows (e.g., Snowflake, OpenSearch, Pinecone)
  • Familiarity with LLM orchestration frameworks (e.g., LangChain, Bedrock Agents)
  • Experience supporting AI agents, RAG pipelines, or GenAI analytics use cases
  • Exposure to regulated or security-conscious environments

Our Values
Client First - We focus relentlessly on delivering outcomes that create value for our clients
We, Not Me - We win together. Collaboration drives transformation at scale
Get Stuff Done - We execute with speed and precision - because in PE, time matters
AI First - We embed AI at the core, enabling scalable, high-leverage solutions
Own It - We take accountability for results, delivering on what we promise
Agile Mindset - We adapt quickly and proactively seek better ways to move forward
What We Offer
  • Opportunity to work on AI-first data platforms using Snowflake Cortex and AWS Bedrock
  • High-impact role at the intersection of data engineering and applied AI
  • Exposure to private equity-backed enterprise transformation programs
  • Global, collaborative team with strong technical standards
  • Flexible, remote-first working environment with autonomy and ownership