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Remote Ai Data Engineer Jobs in Raleigh, NC (NOW HIRING)

... remote Bitsight is a cyber risk management leader transforming how companies manage exposure ... Maintain data quality standards, field mappings, attribution models, and campaign tracking ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... engineering principles * Analyze data and interpret results to inform AI training datasets with ...

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex ...

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex ...

SDLC Engineer - AI Trainer

Raleigh, NC · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

SDLC Engineer - AI Trainer

Cary, NC · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

SDLC Engineer - AI Trainer

Durham, NC · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

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Showing results 1-20

Remote Ai Data Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

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

As of Jul 13, 2026, the average yearly pay for remote ai data engineer in Raleigh, NC is $126,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 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.
What are the most commonly searched types of Ai Data Engineer jobs in Raleigh, NC? The most popular types of Ai Data Engineer jobs in Raleigh, NC are:
What are popular job titles related to Remote Ai Data Engineer jobs in Raleigh, NC? For Remote Ai Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Ai Data Engineer jobs in Raleigh, NC look for? The top searched job categories for Remote Ai Data Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Ai Data Engineer jobs? Cities near Raleigh, NC with the most Remote Ai Data Engineer job openings:
Infographic showing various Remote Ai Data Engineer job openings in Raleigh, NC as of July 2026, with employment types broken down into 72% Full Time, 23% Part Time, 1% Temporary, and 4% Contract. Highlights an 65% Physical, 4% Hybrid, and 31% Remote job distribution, with an average salary of $126,095 per year, or $60.6 per hour.
Data Solutions Engineer - Databricks (Local Candidates Only - Durham, NC)

Data Solutions Engineer - Databricks (Local Candidates Only - Durham, NC)

PowerSecure

Durham, NC • On-site, Remote

$103K - $124K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Job Summary:

The Data Engineer designs, builds, and operates reliable, scalable data pipelines on PowerSecure’s Azure data platform to enable trusted analytics and selfservice BI. This role partners with BI Developers, the Data Architect, and business stakeholders to ingest, model, and deliver highquality data using Azure Data Factory, Databricks (PySpark/Spark SQL), and Delta Lake (including Delta Live Tables). Responsibilities include batch/stream ingestion, data transformation (ELT), orchestration, data quality enforcement, and operational support.

Minimum Qualifications: (Education, Experience, Knowledge, and Skills):

  • 2+ years of handson data engineering (or comparable software engineering with significant
    data work)
  • 2+ years building pipelines on Azure and Databricks (or equivalent cloud + Spark)
  • Strong SQL (analytical queries, window functions), PySpark/Spark SQL, and data modeling fundamentals
  • Bachelor’s degree in MIS, Computer Science, Engineering, or equivalent experience
  • Proficiency with SQL and Python (PySpark), including performance tuning on large datasets
  • Experience with Azure Databricks, Delta Lake, Delta Live Tables (DLT), Azure Data Factory (or Fabric Data Pipelines), ADLS Gen2, and Azure DevOps/Git for CI/CD
  • Working knowledge of Unity Catalog and/or Microsoft Purview for governance, lineage, and security
  • Familiarity with data ingestion patterns (files, APIs, JDBC), schema evolution, CDC, and deletion detection patterns
  • Understanding of dimensional modeling to produce analyticsready datasets for Power BI
  • Exposure to orchestration/monitoring, cost optimization, alerting, and runbookdriven operations
  • Data pipeline design (batch & streaming), DLT expectations for data quality, and robust error handling
  • Source control, branching strategies, and CI/CD for data assets (notebooks, jobs, workflows)
  • Practical understanding of privacy, security, and RBAC in cloud data platforms
  • Excellent communication, documentation, and crossfunctional collaboration skills
  • Analytical mindset; bias toward automation and measurable reliability
  • Applicants must be legally authorized to work in the United States and should not require now, or in the future, sponsorship for employment visa sponsorship.

Job Duties and Responsibilities:

  • Design, implement, and support endtoend ELT pipelines (ingest → transform → publish) in Databricks/ADF
  • Implement data quality checks (DLT expectations, unit tests) with alerting and remediation runbooks
  • Build curated, analyticsready Delta tables using dimensional modeling for consumption by BI Developers
  • Implement CDC and deletionflag patterns; manage schema drift and partitioning/ZOrdering strategies
  • Operationalize jobs with monitoring, logging, alerting; participate in an oncall rotation as needed
  • Partner with the Data Architect to align designs with standards for governance, security, and cost efficiency
  • Document pipelines, data contracts, and SLAs; continuously improve performance and reliability

Working Conditions:

  • This position is remote
  • Occasional,travel may be required for training or meetings.
  • Must be able to work flexible hours to accommodate different time zones (Central/Eastern/Mountain/Pacific), if necessary.
  • Be flexible for after-hours tasks, as needed.

About Us

PowerSecure, a Southern Company subsidiary, is a leading provider of innovative energy solutions to electric utilities and their industrial, institutional, and commercial customers.

Join Our Power Team!

We invest in high-value and cost-effective benefits for our employees. Our benefits
package includes:

  • Medical, dental, vision and life insurance coverage
  • Competitive pay and a matching 401 (k) plan
  • Vacation, Company Holidays, Paid Time Off (PTO- personal and sick days)
  • Flexible spending accounts/Health savings account
  • Wellness Incentive Programs
  • Employee Referral Program
  • Tuition Reimbursement

The above statements are intended to describe the general nature and level of work being performed
by individuals assigned to this position. They are not intended to be an exhaustive list of all
responsibilities, duties, and skills required. Management reserves the right to assign or reassign
duties and responsibilities at any time, based on business needs.

PowerSecure is an equal opportunity employer where an applicant's qualifications are considered
without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic
information, sexual orientation, gender identity or expression, or any other basis prohibited by law