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Remote Ai Data Engineer Jobs (NOW HIRING)

Lorven Technologies

Data Engineer with AI - Remote

Boston, MA · On-site +1

$124K - $149K/yr

Our client seeks an Data Engineer + AI for a 12 Months project in Boston, MA. Below is the detailed requirement Job Title: Data Engineer + AI Work location : Boston, MA Duration: 12 Months Job ...

Lorven Technologies

Data Engineer with AI - Remote

$117K - $140K/yr

Our client seeks an Data Engineer + AI for a 12 Months project in Boston, MA. Below is the detailed requirement Job Title: Data Engineer + AI Work location : Boston, MA Duration: 12 Months Job ...

Kyndryl

$122K - $252K/yr

The Role About the Role As an Agentic AI Data Engineer within Kyndryl's newly established Agentic AI Lab, you will serve as a foundational builder for high-performance data platforms powering ...

Tiger Analytics Inc.

Gen AI Data Engineer

$117K - $140K/yr

... Engineers with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted ...

GDIT

Senior Data Engineer

WV · On-site +1

$142K - $172K/yr

Experience leveraging AI tools to improve data engineering productivity and quality in coding, testing, and documentation. * Location : Remote * US Persons required GDIT IS YOUR PLACE At GDIT, the ...

Order.co

Senior AI / Data Engineer

$108K - $147K/yr

Magazine. The Role As a Senior AI / Data Engineer, you will design, build, and maintain scalable data and AI infrastructure that powers critical business and product capabilities across the ...

NewRocket

AI Data Intelligence Lead

OR · Remote

Remote (Occasional travel as needed) Reports to: Global AI Center of Excellence Lead Why Us ... This role focuses on applying machine learning, generative AI, and advanced data engineering ...

Scorpion Enterprises, LLC

Senior AI Data Engineer

$108K - $147K/yr

About the Role The Senior Data Engineer sits on Scorpion's AI team and plays a critical role in ... Remote office allowance * Professional development and development courses * Regular manager check ...

NewRocket

AI Data Intelligence Lead

Remote (Occasional travel as needed) Reports to: Global AI Center of Excellence Lead Why Us ... This role focuses on applying machine learning, generative AI, and advanced data engineering ...

ALTEN Technology USA

Practice Manager - AI & Data

Troy, MI · On-site +1

$160K - $190K/yr

We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to ... REMOTE/HYBRID AND/OR CALIFORNIA, COLORADO, MARYLAND, CONNECTICUT, ILLINOIS, MINNESOTA, VERMONT ...

Trustwell

Lead AI & Data Scientist

$150K - $170K/yr

Lead AI & Data Scientist FLSA: Full Time | Exempt | Salaried | Remote (US) Reports to: Chief ... Partner with Engineering to design repeatable AI implementation patterns for LLMs, agents ...

V4C.ai

Data Engineer

$117K - $140K/yr

Position Overview V4C.ai is seeking a motivated Data Engineer to join our remote team in the United States. In this role, you will support the design, development, and maintenance of data solutions ...

York Risk Services

Data Engineer AI

North East, PA · On-site +1

$105K - $127K/yr

Engineering for AI (RAG & LLMs): Develop the data pipelines required for Generative AI, including ... LI-TS1 #remote Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace. If you're ...

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All JobsRemote Ai Data Engineer Jobs

Remote Ai Data Engineer information

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$44.5K

$129.7K

$177.5K

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

As of Jul 3, 2026, the average yearly pay for remote 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 are some common challenges faced by Remote AI Data Engineers, and how can they be addressed?

Remote AI Data Engineers often encounter challenges such as coordinating with cross-functional teams across different time zones, ensuring data security when accessing sensitive datasets remotely, and maintaining effective communication for project updates. To address these, it's important to establish clear protocols for data sharing, leverage collaboration tools (like Slack or Jira), and schedule regular check-ins to align with team goals. Adopting strong version control practices and automated testing can also help streamline workflows and minimize errors in a distributed environment.

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

AspectRemote Ai Data EngineerData Scientist
Required CredentialsBachelor's in CS, Data Engineering, or related; experience with cloud platformsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentData pipelines, cloud infrastructure, codingData analysis, statistical modeling, visualization
Employer & Industry UsageTech companies, AI firms, startupsResearch institutions, tech companies, finance
Common Search & ComparisonYesYes

Remote Ai Data Engineers focus on building and maintaining data pipelines and infrastructure for AI applications, requiring skills in data engineering and cloud platforms. Data Scientists analyze data, develop models, and generate insights. While both roles work with data, Data Engineers prepare the data environment, whereas Data Scientists interpret and model the data. They often collaborate but serve different functions in AI and data projects.

What is a Remote AI Data Engineer?

A Remote AI Data Engineer is a professional who designs, builds, and maintains data pipelines and infrastructure to support artificial intelligence (AI) and machine learning (ML) projects, all while working from a remote location. They are responsible for collecting, cleaning, transforming, and storing large datasets, ensuring data quality and accessibility for AI applications. These engineers collaborate with data scientists, software engineers, and stakeholders to deliver data solutions that power intelligent systems, often leveraging cloud technologies and distributed computing. Their work enables organizations to harness data for predictive analytics, automation, and decision-making—without being tied to a physical office.

What are the key skills and qualifications needed to thrive as a Remote AI Data Engineer, and why are they important?

To thrive as a Remote AI Data Engineer, you need strong programming skills (Python, SQL), a solid understanding of data structures, machine learning principles, and typically a degree in computer science or related fields. Familiarity with big data platforms (such as Hadoop or Spark), cloud services (AWS, GCP, or Azure), and experience with AI/ML frameworks like TensorFlow or PyTorch are commonly required. Excellent problem-solving, communication, and self-motivation skills help you collaborate effectively and manage projects independently in a remote setting. These skills and qualities ensure robust AI data pipelines, effective model deployment, and seamless teamwork across distributed environments.
More about Remote Ai Data Engineer jobs
What cities are hiring for Remote Ai Data Engineer jobs? Cities with the most Remote 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 Remote Ai Data Engineer jobs? States with the most job openings for Remote Ai Data Engineer jobs include:
What job categories do people searching Remote Ai Data Engineer jobs look for? The top searched job categories for Remote Ai Data Engineer jobs are:
Remote Ai Data Engineer jobs near you
Infographic showing various Remote Ai Data Engineer job openings in the United States as of June 2026, with employment types broken down into 75% Full Time, 20% Part Time, and 5% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Engineer with AI - Remote

Data Engineer with AI - Remote

Lorven Technologies

Boston, MA • On-site, Remote

$124K - $149K/yr

Full-time

Posted 10 hours ago

Job description

I hope you are doing well,
Please share your updated profile if you are interested in the below role.
Our client seeks an Data Engineer + AI for a 12 Months project in Boston, MA. Below is the detailed requirement
Job Title: Data Engineer + AI
Work location : 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 engineering for ML/LLM use cases, and drive best practices for reliability, performance, and cost.
What you'll do
  • Design, build, and maintain batch/streaming pipelines in Python + PySpark on Databricks (Delta Lake, Autoloader, Structured Streaming).
  • Implement data models (Bronze/Silver/Gold), optimize with partitioning, Z-ORDER, and indexing, and manage reliability (DLT/Jobs, monitoring, alerting).
  • Enable ML/AI: feature engineering, MLflow experiment tracking, model registries, and model/feature serving; support RAG pipelines (embeddings, vector stores).
  • Establish data quality checks (e.g., Great Expectations), lineage, and governance (Unity Catalog, RBAC).
  • Collaborate with Data Science/ML and Product to productionize models and AI workflows; champion CI/CD and IaC.
  • Troubleshoot performance and cost issues; mentor engineers and set coding standards.

Must-have qualifications
  • 6-10+ years in data engineering with a track record of production pipelines.
  • Expert in Python and PySpark (UDFs, Window functions, Spark SQL, Catalyst basics).
  • Deep hands-on Databricks: Delta Lake, Jobs/Workflows, Structured Streaming, SQL Warehouses; practical tuning and cost optimization.
  • Strong SQL and data modeling (dimensional, medallion, CDC).
  • ML/AI enablement experience: MLflow, feature stores, model deployment/monitoring; familiarity with LLM workflows (embeddings, vectorization, prompt/response logging).
  • Cloud proficiency on AWS/Azure/GCP (object storage, IAM, networking).
  • CI/CD (GitHub/GitLab/Azure DevOps), testing (pytest), and observability (logs/metrics).

Nice to have
  • Databricks Delta Live Tables, Unity Catalog automation, Model Serving.
  • Orchestration (Airflow/Databricks Workflows), messaging (Kafka/Kinesis/Event Hubs).
  • Data quality & lineage tools (Great Expectations, OpenLineage).
  • Vector DBs (FAISS, pgvector, Pinecone), RAG frameworks (LangChain/LlamaIndex).
  • IaC (Terraform), security/compliance (PII handling, data masking).
  • Experience interfacing with BI tools (Power BI, Tableau, Databricks SQL).
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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