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Remote Entry Level Data Engineering Jobs in Cary, NC

RELX

Data Discovery and Enrichment Expert II

Raleigh, NC · On-site +1

$71K - $119K/yr

They partner with data scientists, data engineers, and product managers to create cutting-edge ... flexible and remote working options available to employees. Working with Us LexisNexis Legal ...

VAST Data

Technical Account Manager - USA

Raleigh, NC · On-site +1

Description VAST Data is looking for a Customer Success Manager to join our growing team! This is a ... You will work with engineering to submit and advocate for bugs and feature requests on behalf of ...

KEYENCE

Field Application Engineer '27

Raleigh, NC · On-site +1

$53K - $80K/yr

Locations | Entry-Level | Full-Time Are you ready to launch your career with one of the world ... Provide on-call, on-site and remote technical support, training, and troubleshooting * Travel ...

CIMA

Psychometrician

Durham, NC · Remote

$80K - $95K/yr

You will perform programming and data analysis in both operational and research contexts; work ... You will report to the Director, Psychometrics & Research and this role is remote. You Will:

Ruri Software Technologies LLC

Java Developer

Raleigh, NC · On-site +1

$49.50 - $64.25/hr

Raleigh, NC *This is a remote position. If the candidate isn't local the team will ship the ... visual design, development, data analysis, testing and implementation, technical and user ...

Open Desk

Outbound Call Specialist

Wake Forest, NC · Remote

... entry-level position offers paid training, excellent benefits, growth opportunities, and remote ... Maintain high attention to detail and data integrity * Meet deadlines while delivering high-quality ...

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Showing results 21-40

All JobsData Engineering JobsRemote Entry Level Data Engineering JobsRemote Entry Level Data Engineering Jobs in Cary, NC

Remote Entry Level Data Engineering information

See Cary, NC salary details

$41.2K

$120.2K

$164.4K

How much do remote entry level data engineering jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote entry level data engineering in Cary, NC is $120,171.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $127,400.00 per year, depending on experience, location, and employer.

What is a remote entry level data engineer?

A remote entry level data engineer is a professional who works from a location outside of a traditional office setting to help design, build, and maintain the data infrastructure and pipelines needed for organizations to collect and analyze data. These roles are suitable for individuals new to the field, often requiring foundational knowledge in programming, databases, and data processing tools. Entry level data engineers typically work under the guidance of more experienced team members and focus on tasks such as data cleaning, basic ETL (extract, transform, load) processes, and supporting data integration projects. Working remotely allows for flexibility and collaboration using digital communication tools.

What are the key skills and qualifications needed to thrive as a remote entry level data engineer?

To thrive as a Remote Entry Level Data Engineer, you need a foundational understanding of databases, data modeling, and programming languages such as Python or SQL, often supported by a relevant degree or coursework. Familiarity with cloud platforms (like AWS or Azure), ETL tools, and version control systems (such as Git) is typically required. Strong problem-solving skills, attention to detail, and effective virtual communication are essential soft skills for remote collaboration and troubleshooting. These skills ensure efficient data pipeline development, data integrity, and productive teamwork in distributed engineering environments.

Can I work remotely as a data engineer?

Yes, remote work is common for entry-level data engineering roles, especially with the increasing use of cloud platforms like AWS, Azure, and GCP. Many companies offer remote positions that require skills in SQL, Python, and data pipeline tools such as Apache Spark or Airflow, often with flexible schedules and the need for strong communication skills.

What is the difference between Remote Entry Level Data Engineering vs Remote Junior Data Analyst?

AspectRemote Entry Level Data EngineeringRemote Junior Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; basic SQL and programming skillsBachelor's in related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, cloud platforms, data pipelinesReporting, data interpretation, dashboards
Industry UsageTech, finance, healthcare, e-commerceMarketing, retail, finance, healthcare

Remote Entry Level Data Engineering focuses on building data pipelines and managing data infrastructure, requiring technical skills like SQL and programming. Remote Junior Data Analysts interpret data, create reports, and support decision-making. While both roles involve working with data remotely, data engineers handle data infrastructure, whereas data analysts focus on analyzing and visualizing data to provide insights.

Can I get a remote entry level data engineering job with no experience?

Entry level data engineering roles often require some knowledge of programming languages like Python or SQL and familiarity with data tools such as cloud platforms or databases. While prior experience is not always mandatory, demonstrating relevant skills through coursework, certifications, or personal projects can improve chances of securing a remote position at the entry level.

What are some common challenges faced by remote entry level data engineers, and how can they be addressed?

Remote entry level data engineers often face challenges such as limited hands-on mentorship, understanding complex data pipelines, and collaborating across different time zones. To overcome these, it's helpful to proactively communicate with your team, seek feedback regularly, and make use of virtual collaboration tools. Participating in team meetings, asking questions, and accessing available documentation will help you build confidence and stay aligned with project goals.
What are popular job titles related to Remote Entry Level Data Engineering jobs in Cary, NC? For Remote Entry Level Data Engineering jobs in Cary, NC, the most frequently searched job titles are:
What job categories do people searching Remote Entry Level Data Engineering jobs in Cary, NC look for? The top searched job categories for Remote Entry Level Data Engineering jobs in Cary, NC are:
What cities near Cary, NC are hiring for Remote Entry Level Data Engineering jobs? Cities near Cary, NC with the most Remote Entry Level Data Engineering job openings:
Remote Entry Level Data Engineering jobs near you
Infographic showing various Remote Entry Level Data Engineering job openings in Cary, NC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,171 per year, or $57.8 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Raleigh, NC • Remote

Full-time

Re-posted 18 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply