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Ai Data Engineer Jobs (NOW HIRING)

AI Data Engineer

Moline, IL · On-site

$103K - $124K/yr

AI Data Engineer Location: Moline,IL Pay Rate:USD$ 60 .00 $ 65 .00 /hr.with benefits Key Responsibilities Data Engineering: Design, develop, and manage data pipelines to handle and process large ...

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Experience with AI-assisted engineering tools, Copilot/Agentic platforms, and automated report generation. 3. Data Engineering - 5+ Years * Minimum 5 years of experience in data engineering and data ...

Generative AI Data Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

Share this job: Share: Share Generative AI Data Engineer III with Facebook Share Generative AI Data Engineer III with LinkedIn Share Generative AI Data Engineer III with Twitter Caution against ...

AI Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Role - AI Data Engineer Location - NYC, NY - Hybrid FTE No openings - 2 Required 9+ Years of experience Looking for visa independent candidates. Required Qualifications * Strong experience in Python ...

AI Data Engineer

Provo, UT · On-site

$109K - $131K/yr

AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

AI Data Engineer

Provo, UT · On-site

$50K - $90K/yr

AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

AI Data Engineer

Provo, UT

$109K - $131K/yr

AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

AI Data Engineer Location: Hybrid Duration: 10 Months (High Possibility of Extension) Bill Rate: $87/hr Job Type: W-2 Contract Client: To Be Discussed Later Work Authorization: USC GC H1B OPT-EAD ...

AI Data Engineer

$117K - $140K/yr

As an AI Data Engineer you will be at the intersection of ML systems and data engineering, working closely with our MLE and analytics engineering teams to build the pipelines, models, and evaluation ...

AI Data Engineer

Spring, TX · On-site

$101K - $122K/yr

They are seeking an AI Data Engineer with expertise in data structures and AI/ML workflows, responsible for designing data pipelines, integrating AI analytics, and collaborating with data modelers to ...

AI Data Engineer

Philadelphia, PA · On-site +1

$115K - $138K/yr

Mission Join the Data Science team as an AI Data Engineer responsible for building the data foundations that make enterprise AI products accurate, explainable, and scalable. This role will design and ...

AI Data Engineer

Baltimore, MD · Hybrid

$113K - $136K/yr

Rowe Price is seeking an innovative Data AI Engineer to guide the development and deployment of scalable AI and data solutions that enable next generation data foundations and capabilities leveraging ...

AI Data Engineer

Charleston, WV

$106K - $127K/yr

As an AI Data Engineer you will be at the intersection of ML systems and data engineering, working closely with our MLE and analytics engineering teams to build the pipelines, models, and evaluation ...

AI Data Engineer

Philadelphia, PA

$115K - $138K/yr

Mission Join the Data Science team as an AI Data Engineer responsible for building the data foundations that make enterprise AI products accurate, explainable, and scalable. This role will design and ...

AI Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

We are hiring an AI Data Engineer to own the seam between "customer says yes" and "data is flowing into Spiral." You will run technical discovery with new customers, design the integration that ...

AI Data Engineer

$117K - $140K/yr

As an AI Data Engineer you will be at the intersection of ML systems and data engineering, working closely with our MLE and analytics engineering teams to build the pipelines, models, and evaluation ...

AI Data Engineer

Boston, MA · Remote

$117K - $140K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data ... Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If ...

AI Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data ... Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If ...

Lead Generative AI Data Engineer III

Atlanta, GA · On-site

$98K - $129K/yr

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Lead Generative AI Data Engineer III

Austin, TX · On-site

$101K - $133K/yr

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Showing results 21-40

Ai Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do ai data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for ai data engineer 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.

What does an AI data engineer do?

An AI Data Engineer designs, builds, and manages data pipelines and infrastructure to support AI and machine learning models. They collect, process, and store large datasets, ensuring data is clean, structured, and accessible for AI applications. Their role involves working with big data tools, cloud platforms, and databases to optimize performance and scalability. Collaboration with data scientists and software engineers is essential to deploy and maintain AI solutions efficiently.

What are the key skills and qualifications needed to thrive as an AI data engineer?

To thrive as an AI Data Engineer, you need strong proficiency in programming (Python, SQL), data architecture, and machine learning fundamentals, typically supported by a degree in computer science, engineering, or a related field. Experience with big data tools (Spark, Hadoop), cloud platforms (AWS, Azure, GCP), and certifications like Google Professional Data Engineer are highly valuable. Excellent problem-solving skills, attention to detail, and effective team communication help distinguish top performers in this role. These abilities ensure the development of robust data pipelines and systems that power accurate AI solutions in a collaborative and rapidly-evolving environment.

What are some common challenges an AI data engineer might face in their daily work?

AI Data Engineers often encounter challenges such as integrating data from diverse sources, ensuring data quality and consistency, and building scalable data pipelines to handle large volumes of information. Working closely with data scientists and software engineers requires strong collaboration and flexibility to adapt to shifting project requirements or algorithms changes. Keeping up with the latest developments in big data and machine learning tech stacks is also crucial. Overcoming these challenges provides a dynamic work environment and offers valuable learning and career growth opportunities.

What cities are hiring for Ai Data Engineer jobs?

Cities with the most Ai Data Engineer job openings:

What are the most commonly searched types of Ai Data Engineer jobs?

The most popular types of Ai Data Engineer jobs are:

What states have the most Ai Data Engineer jobs?

States with the most job openings for Ai Data Engineer jobs include:

Infographic showing various Ai Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

AI Data Engineer

Instant Serve LLC

Moline, IL • On-site

$103K - $124K/yr

Other

Re-posted 7 days ago


Job description

For more details contact at Ella.s@iserveworld.com

Job Title: AI Data Engineer

Location: Moline,IL

Pay Rate:USD$60.00 $65.00 /hr.with benefits

Key Responsibilities

Data Engineering: Design, develop, and manage data pipelines to handle and process large datasets with a focus on scalability and efficiency.

Langchain Integration: Utilize Langchain to build and optimize AI workflows, automate processes, and enhance AI model capabilities with data-driven features.

Cloud Data Infrastructure: Manage and scale data infrastructure on AWS, using services such as S3, EC2, Lambda, Redshift, and others.

SQL & Database Expertise: Write complex SQL queries for data extraction, transformation, and analysis. Optimize database performance and ensure data integrity.

Collaboration: Work closely with Data Scientists, AI Engineers, and other stakeholders to ensure data is properly structured for machine learning models and other analytics use cases.

Data Quality & Governance: Monitor data quality, create processes for error handling, and ensure compliance with data privacy regulations and best practices.

Performance Optimization: Continuously optimize and fine-tune data processing pipelines and database queries for better performance and scalability.

Documentation: Maintain detailed documentation on the architecture, data processes, and code to ensure smooth collaboration and knowledge transfer.

Requirements

3+ years of experience as a Data Engineer, with a focus on AI or machine learning data pipelines.

Hands-on experience with Langchain for building and optimizing AI workflows and automation.

Strong experience with large-scale data management, including working with distributed systems and processing massive datasets.

Proficient in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server) and NoSQL databases.

Extensive experience with AWS, including services like S3, EC2, Lambda, Redshift, and RDS.

What are the 3-4 non-negotiable requirements of this position?
Experience: 3+ years of experience as a Data Engineer, with a focus on AI or machine learning data pipelines. Hands-on experience with Langchain for building and optimizing AI workflows and automation. Strong experience with large-scale data management, including working with distributed systems and processing massive datasets. Proficient in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server) and NoSQL databases. Extensive experience with AWS, including services like S3, EC2, Lambda, Redshift, and RDS. Technical Skills: Proficient in Python Strong understanding of database design, data modeling, and query optimization. Familiarity with data warehousing concepts and tools. Exerience working with data pipelines and workflow orchestration tools like Apache Airflow, or similar. Knowledge of AI and machine learning concepts, particularly around data preprocessing and feature engineering. Education: Bachelor's or Master's degree in Computer Science, Data Engineering, Artificial Intelligence, or a related field.

What are the nice-to-have skills?
Preferred Qualifications: Experience with Apache Spark, Kafka, or other big data technologies. Familiarity with containerization (Docker, Kubernetes) for deploying scalable data solutions. Knowledge of AI-specific data workflows, including data preparation for natural language processing, computer vision, or other AI applications.


InstantServe logo

About InstantServe

Sourced by ZipRecruiter

InstantServe provides a one-stop solution to all Healthcare, IT/Non-IT Staffing needs. Established in 2016, InstantServe is a strong workforce of over 100+ go-getters with a demonstrated background in IT/Non-IT service. We are a nationally certified SBE from the Department of Administration (State of PA). As a proud Minority Woman Owned Small Business Enterprise (M/WBE), InstantServe boasts of a strong team of professionals who have extensive experience catering to several Federal, Public, Commercial, and Healthcare Clients which includes 26 States and 46 government agencies. InstantServe is a client-centric organization that offers cost-effective and reliable solutions. Client satisfaction is sacrosanct! Our team strives to provide the best staffing and IT solutions to take your business to the next level.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Wayne, PA, US

Year founded

2016

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