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Senior Data Engineer Ai Jobs (NOW HIRING)

IT America Inc

Sr. Data Engineer (AI + AWS)

Irvine, CA · On-site

$122K - $147K/yr

Position: Sr. Data Engineer (AI + AWS) Location: Irvine/LA, CA (Onsite) Duration: Long term contract Job Summary: We are seeking a highly skilled Data Engineer with expertise in AI-enabled data ...

Kai Cyber, Inc.

Senior Data Engineer, AI Platform

San Jose, CA · On-site

$124K - $168K/yr

About the Role We are looking for a Senior Data Engineer (AI Platform) to design and build scalable data systems that power next-generation AI and Generative AI applications. This is a senior, hands ...

Guida's Dairy

Sr. Data Engineer - AI

Kansas City, KS · On-site

$110K - $132K/yr

Serve in a senior-level technical role designing, building, and supporting secure, scalable data ... Deep knowledge of data engineering and AI/ML pipeline practices, including the ability to design ...

Dairiconcepts, L.P.

Sr. Data Engineer - AI

Kansas City, KS · On-site

$110K - $132K/yr

Serve in a senior-level technical role designing, building, and supporting secure, scalable data ... Deep knowledge of data engineering and AI/ML pipeline practices, including the ability to design ...

Movable Ink

Senior Data Engineer, AI Systems

Ink, AR

$165K - $215K/yr

... powers billions of AI-driven marketing decisions daily across some of the world's largest consumer brands. As a Senior Data Engineer, you will own the Spark-based data pipelines and data ...

Numentica LLC

Senior Databricks Data Engineer

Calabasas, CA · On-site

$120K - $145K/yr

Senior Data Engineer (AI & Databricks) Location: Las Vegas, NV / Calabasas, CA Work Model: Onsite (4 days/week) Employment Type: Full-Time Work Authorization: U.S. Citizens (USC) & Green Card Holders ...

Apex Informatics

Senior Data Engineer - AI/ML

$117K - $140K/yr

Title: Sr Data Engineer Remote Required Skills & Qualifications • Strong experience in data ... AI application development • Experience working with LLM APIs (OpenAI, Anthropic, Gemini) and ...

Actif.ai

Senior Data Engineer

Washington, DC · Remote

$108K - $147K/yr

Actifai is seeking experienced Senior Data Engineers ... The Company Actifai is an AI company helping broadband and telecom providers optimize high-value ...

K&L Gates

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

The Senior Data Engineer contributes to the Enterprise Applications, Data, and AI Platforms group, designing scalable Microsoft Fabric data platforms. Responsibilities include establishing ...

ITbility

Data Engineer - AI

Sunnyvale, CA · On-site

$136K - $163K/yr

* Data Engineer - AI * Sunnyvale, California * Contract - 6 + Months We are looking for a hands-on Data Engineer - AI for Sunnyvale, California to join a team focused on strengthening.. Please email me ...

UL Standards and Engagement

Senior Data Engineer

Evanston, IL · On-site

$101K - $138K/yr

The Senior Data Engineer will design, develop, and scale enterprise data infrastructure that support analytics, machine learning, and emerging AI capabilities. Leveraging expertise in modern data ...

Stellantis

Senior Data Engineer

Auburn Hills, MI · On-site

$100K - $136K/yr

About the Role Join the Supply Chain AI Hub as a Senior Data Engineer helping turn AI ambition into reliable data foundations and delivery-ready assets. This role helps engage business, engineering ...

Pattern

Senior Data Engineer

Lehi, UT · On-site

$99K - $135K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... As a Senior Data Engineer, you will be a high-impact "Game Changer" responsible for architecting ...

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Senior Data Engineer Ai information

See salary details

$81K

$126.3K

$175K

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

As of Aug 25, 2026, the average yearly pay for senior data engineer ai in the United States is $126,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $144,000.00 per year, depending on experience, location, and employer.

What is a senior data engineer AI?

Senior Data Engineers in AI are experienced professionals who design, build, and maintain the data infrastructure required for artificial intelligence and machine learning projects. They work with large datasets, create data pipelines, and ensure data is accessible, reliable, and optimized for AI models. Additionally, they collaborate with data scientists and software engineers to implement solutions that support advanced analytics and AI-driven applications. Their role often includes optimizing data storage, ensuring data quality, and integrating new data sources to support evolving business needs.

How does a senior data engineer AI typically collaborate with data scientists and machine learning engineers on AI projects?

A Senior Data Engineer AI plays a crucial role in bridging the gap between raw data and actionable AI models. They work closely with data scientists to understand the data requirements and ensure data pipelines deliver clean, well-structured datasets for model training and evaluation. Collaboration often involves designing scalable architectures, troubleshooting data issues, and optimizing data workflows to support experimentation and deployment. Regular cross-functional meetings and agile sprints are common, allowing for alignment on project goals and seamless handoff between engineering and modeling tasks.

What are the key skills and qualifications needed to thrive as a senior data engineer AI, and why are they important?

To thrive as a Senior Data Engineer AI, you need advanced expertise in data modeling, ETL processes, and strong programming skills in languages like Python or Scala, typically backed by a degree in computer science or a related field. Familiarity with big data tools (e.g., Spark, Hadoop), cloud platforms (AWS, GCP, Azure), and experience with AI/ML frameworks such as TensorFlow or PyTorch are essential, and certifications in these areas are highly valued. Exceptional problem-solving, communication, and project management skills help you collaborate across teams and drive complex AI-enabled data solutions. These competencies ensure scalable, high-quality data pipelines that support robust AI applications and organizational decision-making.

What is the difference between Senior Data Engineer Ai vs Data Scientist?

AspectSenior Data Engineer AiData Scientist
Required CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in Statistics, Data Science certifications
Work EnvironmentData pipelines, ETL processes, cloud platformsData analysis, modeling, statistical research
Employer & Industry UsageTech companies, finance, healthcareResearch institutions, tech firms, consulting

While both roles work with data, Senior Data Engineer Ai focuses on building and maintaining data infrastructure and pipelines, whereas Data Scientists analyze data to generate insights and models. The roles often collaborate but have distinct skill sets and responsibilities.

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Senior Data Engineer Ai jobs near you
Infographic showing various Senior Data Engineer Ai 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 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.

Data Engineer - AI-Ready Enterprise-Scale Data Platforms

ConglomerateIT LLC

Seattle, WA • On-site

$75/hr

Contractor

Re-posted 17 days ago

Job description

Job Title: Data Engineer - AI-Ready Enterprise-Scale Data Platforms
Tax Term: W2/1099 Only
Location: Seattle, WA
Employment Type: Contract
Senior Data Engineer – AI-Ready Data Platforms Conglomerate IT | Client: a leading global IT & digital engineering consultancy Location: Seattle, WA | Contract | W2 | $75/hr

About the role We're hiring a Senior Data Engineer to design and build enterprise-scale data platforms that power AI/ML and agentic systems. You'll engineer the AI-ready data foundations—high-quality, governed, and optimized—that advanced analytics and autonomous AI agents depend on.

What you'll do

  • Architect and build scalable, cloud-native data platforms powering AI/ML and agent-based applications

  • Design pipelines that deliver AI-ready data — curated, labeled, contextualized, and feature-rich

  • Build robust ingestion, transformation, and serving layers across batch and real-time

  • Stand up semantic data models, knowledge graphs, and vector databases to power LLMs and AI agents

  • Implement data quality, lineage, and governance frameworks for trust and compliance

  • Partner with AI/ML teams on feature engineering, model training, and inference pipelines

  • Optimize data architectures for performance, scale, and cost

  • Mentor engineers and set best practices for AI-driven data engineering

What you bring

  • 10+ years in data engineering and platform architecture

  • Deep expertise in a major cloud (Azure / AWS / GCP) and modern data ecosystems

  • Hands-on experience with AI/ML data pipelines, feature stores, and model lifecycle support

  • Experience with LLM data pipelines

  • Strong grounding in data governance, metadata management, and security frameworks

Nice to have

  • Data platforms for AI agents / agentic workflows

  • RAG architectures and semantic search

  • Data mesh / domain-oriented data architectures

  • Large-scale enterprise transformation programs

Founded in 2014, ConglomerateIT is a global leader in delivering innovative IT solutions and services. Headquartered in the USA with a presence in the UK, Canada, and India, we specialize in offering industry-leading expertise and cutting-edge products that help our clients maximize their technological investments. Our focus on best-in-class solutions, a highly knowledgeable team, and proactive talent mapping ensure we remain at the forefront of the IT industry.

ConglomerateIT is driven by our Center for Excellence and Innovation, an initiative dedicated to keeping us ahead in a rapidly evolving technology landscape. We understand that building strong relationships is key to our success, and this commitment has enabled us to partner with Fortune 500 companies and leading system integrators worldwide. Our ability to provide local talent on a global scale ensures that we can meet the contingent project requirements of our clients efficiently and effectively.