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Data Engineer Entry Level Jobs in Colorado (NOW HIRING)

Panasas

Software Engineer - Entry Level

Niwot, CO · On-site

They are seeking an entry-level Software Engineer to help develop the next generation of the VDURA Data Platform, working alongside experienced engineers and contributing to real-world enterprise ...

New

VDURA

Software Engineer - Entry Level

Niwot, CO · On-site

We are seeking an entry-level Software Engineer to join our engineering team in Colorado and help develop the next generation of the VDURA Data Platform. This role is ideal for a recent graduate or ...

New

VDURA

Software Engineer - Entry Level

Longmont, CO

We are seeking an entry-level Software Engineer to join our engineering team in Colorado and help develop the next generation of the VDURA Data Platform. This role is ideal for a recent graduate or ...

New

SynergisticIT

Junior Data Engineer

Denver, CO · On-site

SynergisticIT Job Opportunity SynergisticIT is looking for entry-level software programmers, IT enthusiasts, Python/Java developers, and data analysts/data scientists. We welcome candidates with all ...

langan

Civil Engineer - Entry Level

Denver, CO · On-site

$65K - $845K/yr

Effectively use reports, maps, drawings, engineering plans, test and aerial photographs to assess soil composition, terrain, hydrological characteristics and topographical and geologic data and their ...

langan

Civil Engineer - Entry Level

Denver, CO

$65K - $845K/yr

Effectively use reports, maps, drawings, engineering plans, test and aerial photographs to assess soil composition, terrain, hydrological characteristics and topographical and geologic data and their ...

SynergisticIT

Junior data scientist/Data engineer

Denver, CO

$117.80K - $141.50K/yr

Target roles and stacks Current demand often includes entry-level software programmers, Java full stack developers, Python/Java developers, DevOps engineers, data analysts, data engineers, data ...

langan

Geotechnical Engineer - Entry Level

Denver, CO · On-site

$65K - $84.50K/yr

... data; * Observe foundation and earthwork construction activities; monitors conformance with the construction documents; * Identify and implement solutions to both routine and complex field and/or ...

langan

Geotechnical Engineer - Entry Level

Denver, CO · On-site

$65K - $84.50K/yr

... data; * Observe foundation and earthwork construction activities; monitors conformance with the construction documents; * Identify and implement solutions to both routine and complex field and/or ...

Synergistic it

AI & Machine Learning Engineer

Denver, CO

$117.90K - $141.50K/yr

In JOPP, the demand typically includes roles such as entry-level software programmer , Java full stack developer , Python/Java developer , data analyst , data engineer , data scientist , and machine ...

Synergistic it

AI & Machine Learning Engineer

Denver, CO · On-site

$117.90K - $141.50K/yr

In JOPP, the demand typically includes roles such as entry-level software programmer , Java full stack developer , Python/Java developer , data analyst , data engineer , data scientist , and machine ...

SynergisticIT

Data Analyst

Denver, CO · On-site

... for entry-level talent. Our candidates have landed roles at Google, Apple, PayPal, Visa, Client ... Cloud Engineer • Python/Java Software Programmer • Data Analyst, Data Scientist • Data ...

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Data Engineer Entry Level information

See Colorado salary details

$46.8K

$136.4K

$186.6K

How much do data engineer entry level jobs pay per year?

As of May 28, 2026, the average yearly pay for data engineer entry level in Colorado is $136,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,400.00 and $144,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Data Engineer, and why are they important?

To thrive as an Entry Level Data Engineer, you need foundational knowledge in programming (such as Python or SQL), data structures, and database management, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (like AWS or Azure), and version control systems is typically expected. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with teams and adapt to evolving data needs. These skills ensure accurate data processing, efficient pipeline development, and successful integration within data-driven organizations.

What are some typical projects or tasks that entry-level data engineers work on during their first year?

As an entry-level data engineer, you can expect to work on tasks such as building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of different data sources. You'll often collaborate with data analysts and more senior engineers to ensure data is accurate, accessible, and well-documented. Early projects might include automating data extraction processes, setting up basic ETL (Extract, Transform, Load) workflows, or optimizing database queries. These foundational responsibilities help build the technical and teamwork skills essential for career growth in data engineering.

What does a Data Engineer Entry Level do?

An entry-level data engineer is responsible for designing, building, and maintaining systems that allow organizations to collect, store, and analyze large amounts of data. They typically work with databases, data pipelines, and cloud platforms to ensure data is accessible and reliable for analysis. Entry-level data engineers often assist with cleaning and transforming raw data, automating data workflows, and supporting data scientists and analysts. They also learn best practices in data security and performance optimization as they gain experience.

What is the difference between Data Engineer Entry Level vs Data Analyst Entry Level?

AspectData Engineer Entry LevelData Analyst Entry Level
Required CredentialsBachelor's in CS, IT, or related field; some certifications (e.g., Google Cloud, AWS)Bachelor's in Statistics, Math, or related field; certifications like Microsoft Data Analyst
Work EnvironmentFocus on building data pipelines, databases, and infrastructureFocus on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is keyBusiness intelligence, marketing, finance, and consulting firms

While both roles involve working with data, Data Engineer Entry Level focuses on developing and maintaining data infrastructure, whereas Data Analyst Entry Level emphasizes analyzing data to generate insights. Both roles require strong technical skills and are essential in data-driven organizations.

What are the most commonly searched types of Data Engineer jobs in Colorado? The most popular types of Data Engineer jobs in Colorado are:
What are popular job titles related to Data Engineer Entry Level jobs in Colorado? For Data Engineer Entry Level jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Engineer Entry Level jobs in Colorado look for? The top searched job categories for Data Engineer Entry Level jobs in Colorado are:
What cities in Colorado are hiring for Data Engineer Entry Level jobs? Cities in Colorado with the most Data Engineer Entry Level job openings:
Data Engineer Entry Level jobs near you
Software Engineer - Entry Level

Software Engineer - Entry Level

Panasas

Niwot, CO • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Summary:
Panasas is a leader in high-performance parallel file systems and distributed storage solutions for AI and HPC environments. They are seeking an entry-level Software Engineer to help develop the next generation of the VDURA Data Platform, working alongside experienced engineers and contributing to real-world enterprise storage solutions.
Responsibilities:
• Develop, test, debug, and maintain software components within the VDURA Data Platform.
• Contribute to distributed storage services, management tools, datapath functionality, and automation infrastructure.
• Write clean, maintainable, and well-tested code primarily in C, C++, Python, or related technologies.
• Work closely with senior engineers, architects, QA, DevOps, and support teams on feature development and issue resolution.
• Participate in code reviews, technical discussions, and team planning activities.
• Learn and apply best practices for scalable software development and systems engineering.
• Assist with debugging complex software issues across distributed systems environments.
• Contribute to automated test frameworks and continuous integration workflows.
• Support system validation, performance testing, and reliability improvements.
• Help analyze system performance and identify opportunities for optimization.
• Learn about modern storage and networking technologies including NVMe, RDMA, InfiniBand, and parallel file systems.
• Participate in lab testing and large-scale system validation activities.
• Utilize AI-based software development tools to improve productivity, learning, debugging, and software quality.
• Stay current with emerging technologies in AI infrastructure, cloud-native systems, distributed storage, and software engineering.
• Continuously expand technical knowledge through mentorship and hands-on development experience.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Computer Engineering, or a related technical discipline.
• Strong programming skills in C, C++, Python, Java, or similar languages.
• Understanding of operating systems, data structures, algorithms, and networking fundamentals.
• Familiarity with Linux or UNIX-based development environments.
• Strong analytical and problem-solving skills.
• Experience with Git or other version control systems.
• Interest in distributed systems, storage software, cloud computing, AI infrastructure, or systems-level programming.
• Strong communication skills and willingness to work collaboratively within a team environment.
Preferred:
• Internship, academic project, or open-source experience related to systems software or distributed systems.
• Exposure to Linux system administration or scripting.
• Familiarity with containers, Kubernetes, cloud platforms, or virtualization technologies.
• Experience with automated testing or CI/CD workflows.
• Interest in HPC, AI infrastructure, or large-scale storage systems.
• Experience using AI-based software development tools such as Claude, Cursor, GitHub Copilot, ChatGPT, Gemini, or similar technologies is desirable.
Company:
Panasas delivers software-defined storage solutions that redefine the industry standards for reliability, simplicity, and scalability in AI and HPC storage by eliminating downtime, data loss, and complexity. Founded in 2000, the company is headquartered in Milpitas, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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