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Senior Data Engineer Ai Jobs (NOW HIRING)

Judge Group, Inc.

Sr. Data Engineer (AI/ML)

Reston, VA · Remote

$100K - $160K/yr

Position: Sr Data Engineer (AI/ML) Location: Remote Security Clearance: DHS Suitability - contract requires U.S. Citizenship Must Have Qualifications: 5+ years of experience in Data/ML engineering ...

Quantiphi, Inc.

Senior Data Engineer - AI Platforms

OR · On-site +1

$105K - $143K/yr

Role: Senior Data Engineer - AI Platforms Experience Level: 7+ yrs Work Location: US East/Canada (Remote) Role Overview: As a Senior Data Engineer, you will design and build scalable, production ...

Quantiphi, Inc.

Senior Data Engineer - AI Platforms

$108K - $147K/yr

Role: Senior Data Engineer - AI Platforms Experience Level: 7+ yrs Work Location: US East/Canada (Remote) Role Overview: As a Senior Data Engineer, you will design and build scalable, production ...

Lorven Technologies

Data Engineer with AI - Remote

Boston, MA · On-site +1

$124K - $149K/yr

Boston, MA Duration: 12 Months Job Summary: We're looking for a Senior Data Engineer to build and scale our lakehouse and AI data pipelines on Databricks. You'll design robust ETL/ELT, enable feature ...

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 ...

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 ...

DEEPREC.AI

Senior Data Engineer

$150K - $200K/yr

Senior Data Engineer - HealthTech AI $150,000-$200,000 Equity | Fully Remote (U.S.) | Full-Time DeepRec.ai is partnering with a fast-growing Series B HealthTech AI company to hire multiple Senior ...

Anaplan

Senior Data Engineer - AI

Philadelphia, PA

$105K - $144K/yr

Everything that makes you unique is welcome; join us and let's build what's next - together! We're seeking a Senior Data Engineer to work across the full stack of Anaplan AI applications. You will ...

Kai

Senior Data Engineer, AI Platform

San Jose, CA · On-site

$124K - $168K/yr

They are seeking a Senior Data Engineer to design and build scalable data systems that support next-generation AI and Generative AI applications, working at the intersection of data engineering and ...

Together AI

Senior Data Engineer

San Francisco, CA · On-site

$160K - $240K/yr

Senior Data Engineer San Francisco About the Role Together AI is looking for a Senior Data Engineer to help define, build, and operate the data infrastructure that handles millions of events every ...

Guru Schools

Sr Data Engineer

New York, NY · On-site

$125K - $150K/yr

Experience with Snowflake Cortex AI * Strong knowledge of modern Data Warehousing practices ... Senior Python and Snowflake Data Engineer to design, build, and optimize scalable data pipelines ...

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 ...

Royal Caribbean Cruise Line

Senior Data Engineer

Miami, FL

$101K - $137K/yr

The Senior Data Engineer is responsible for delivering, managing, and operating scalable trusted ... Enable AI/ML and GenAI: Deliver governed training/inference datasets and feature foundations ...

Royal Caribbean Group

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

The Senior Data Engineer is responsible for delivering, managing, and operating scalable trusted ... Enable AI/ML and GenAI: Deliver governed training/inference datasets and feature foundations ...

Retell AI

Senior Data Engineer

Redwood City, CA · On-site

$170K - $250K/yr

Founding Senior Data Engineer At Retell Ai Retell AI is using the first principles to reimagine the call center with cutting edge voice AI. Since launching 18 months ago, thousands of companies now ...

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Senior Data Engineer Ai information

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$81K

$126.3K

$175K

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

As of Jun 9, 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 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.

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 Senior Data Engineers in 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.

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.
More about Senior Data Engineer Ai jobs
What cities are hiring for Senior Data Engineer Ai jobs? Cities with the most Senior Data Engineer Ai job openings:
What states have the most Senior Data Engineer Ai jobs? States with the most job openings for Senior Data Engineer Ai jobs include:
What job categories do people searching Senior Data Engineer Ai jobs look for? The top searched job categories for Senior Data Engineer Ai jobs are:
Senior Data Engineer Ai jobs near you
Infographic showing various Senior Data Engineer Ai job openings in the United States as of May 2026, with employment types broken down into 91% Full Time, 8% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.
Sr. Data Engineer (AI/ML)

Sr. Data Engineer (AI/ML)

Judge Group, Inc.

Reston, VA • Remote

$100K - $160K/yr

Other

Posted 8 days ago

Job description

Location: Reston, VA
Salary: $100,000.00 USD Annually - $160,000.00 USD Annually
Description:
Position: Sr Data Engineer (AI/ML)
Location: Remote
Security Clearance: DHS Suitability - contract requires U.S. Citizenship
Must Have Qualifications: 5+ years of experience in Data/ML engineering (if school experience is used, at most that would contribute to 4 years of actual experience).
Experience with ETL, Data Labeling and Data Prep.
Experience designing, implementing, and maintaining data architecture and services to be used for AI/ML. Additionally, operationalizing and maintaining AI/ML models in production.
Ability to perform data analytics on program related or system related activities. This will include assessing performance and manual processes implementing methods/algorithms to automate/optimize
Bachelor's degree in Computer Science, Information Technology Management or Engineering, or other comparable degree or experience and the ability to obtain and maintain DHS Suitability.
Nice to Haves (not listed on the job description): Experience with Python, Redis, Elastic, Dask, Postgres, Spark, AI
Experience within Big Data environments (managing, accessing)
Experience operating in a DevSecOps and MLOps environment
Familiarity with cloud services, CPUs and GPUs
Possess the ability to work independently/with minimal oversight
Team player, passionate, and have a strong work ethic!
  • Describe this role in 2-3 sentences: As a Sr. Data Engineer I, you will support system delivery by performing integrated data analytics, artificial intelligence and machine learning (AI/ML), and DevSecOps tasks in cloud environments, while helping design and implement data-driven web applications. This role contributes to the modernization of complex, legacy, large-scale Identity Management Systems that support internet-facing websites and mission-critical IT systems.

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