3

Remote Entry Level Data Engineering Jobs in Austin, TX

Senior Software Engineer - Remote

Austin, TX · Remote

$121K - $160K/yr

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

AI Engineer - Remote

Austin, 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 ...

Frontend Developer - Remote

Austin, 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 ...

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 ...

Power System Engineer

Taylor, TX · Remote

$42.30 - $59.15/hr

Power System Engineer REMOTE - CANDIDATE MUST LIVE AND WORK FROM THE UNITED STATES Taylor, TX ... Identifies process improvements for interconnection study workflows, data management, 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 ...

AI/ML Engineer - Remote

Austin, 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 ...

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 21-40

Remote Entry Level Data Engineering information

See Austin, TX salary details

$44.1K

$128.6K

$175.9K

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 Austin, TX is $128,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 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 the most commonly searched types of Remote Data Engineering jobs in Austin, TX?

The most popular types of Remote Data Engineering jobs in Austin, TX are:

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

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

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

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

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

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

Infographic showing various Remote Entry Level Data Engineering job openings in Austin, TX as of September 2026, with employment types broken down into 3% Internship, 70% Full Time, 11% Part Time, 2% Temporary, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $128,576 per year, or $61.8 per hour.

Senior Software Engineer - Remote

Austin, TX • Remote

$121K - $160K/yr

Full-time

Re-posted 19 days ago


Job description

Job Title: Senior Software Engineer

Job Type: Contract

Location: Remote

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

We are seeking strong Software Engineers to join our customer's team with expertise in Python3, Java, Rust, Go, C++, or TypeScript. This is a unique opportunity to directly impact the next generation of AI by leveraging your advanced engineering skills in a dynamic, remote setting.

Required Skills and Qualifications:

  • Proficiency in Python3, Java, Rust, or TypeScript, with additional experience in C++ or Go considered a strong asset.
  • Deep understanding of algorithms, data structures, and performance tuning.
  • Demonstrated experience in debugging complex software issues and delivering maintainable solutions.
  • Strong background in feature development and codebase refactoring.
  • Proven ability to optimize software for performance and scalability.
  • Exceptional written and verbal communication skills, with a keen attention to detail.
  • Track record of success in collaborative, cross-functional teams, ideally in remote settings.


Preferred Qualifications:

  • Previous experience working on large-scale, distributed codebases.
  • Familiarity with modern AI or machine learning systems is a plus, though not required.
  • Background in participating in rigorous code reviews and contributing to the development of software best practices.