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Remote Entry Level Data Engineering Jobs in Allen, TX

Create reinforcement learning environments for software engineering tasks. * Design tasks involving ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Create reinforcement learning environments for software engineering tasks. * Design tasks involving ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

... advanced engineering skills in a dynamic, remote setting. Required Skills and Qualifications ... Deep understanding of algorithms, data structures, and performance tuning. * Demonstrated ...

New

Create reinforcement learning environments for software engineering tasks. * Design tasks involving ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

AI Engineer - Remote

Dallas, TX · Remote

$80 - $120/hr

Create reinforcement learning environments for software engineering tasks. * Design tasks involving ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Lead Data Scientist

Frisco, TX · On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Create reinforcement learning environments for software engineering tasks. * Design tasks involving ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Create reinforcement learning environments for software engineering tasks. * Design tasks involving ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Create reinforcement learning environments for software engineering tasks. * Design tasks involving ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

AI/ML Engineer - Remote

Dallas, TX · Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to ... Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and ...

Create reinforcement learning environments for software engineering tasks. * Design tasks involving ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Create reinforcement learning environments for software engineering tasks. * Design tasks involving ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Showing results 41-60

Remote Entry Level Data Engineering information

See Allen, TX salary details

$41.4K

$120.7K

$165.1K

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

As of Sep 13, 2026, the average yearly pay for remote entry level data engineering in Allen, TX is $120,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,500.00 and $127,900.00 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.

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 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 work remotely as a remote entry level data engineer?

Yes, many entry-level data engineering roles are available as remote positions, especially with the rise of cloud-based tools like AWS, Azure, and GCP. These jobs typically require knowledge of SQL, Python, and data pipeline tools, and often offer flexible schedules for remote work.

What are popular job titles related to Remote Entry Level Data Engineering jobs in Allen, TX?

For Remote Entry Level Data Engineering jobs in Allen, TX, the most frequently searched job titles are:

What job categories do people searching Remote Entry Level Data Engineering jobs in Allen, TX look for?

The top searched job categories for Remote Entry Level Data Engineering jobs in Allen, TX are:

What cities near Allen, TX are hiring for Remote Entry Level Data Engineering jobs?

Cities near Allen, TX with the most Remote Entry Level Data Engineering job openings:

Infographic showing various Remote Entry Level Data Engineering job openings in Allen, TX as of September 2026, with employment types broken down into 3% Internship, 68% Full Time, 12% Part Time, 2% Temporary, and 15% Contract. Highlights an 100% Remote job distribution, with an average salary of $120,659 per year, or $58 per hour.

Backend Developer - Remote

Dallas, TX • Remote

$80 - $120/hr

Full-time

Posted 18 days ago


Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.