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Junior Data Engineer Jobs in Colorado (NOW HIRING)

Epsilon

Senior Big Data Engineer

Westminster, CO · On-site

$56.25 - $74.50/hr

Mentor junior engineers, conduct code reviews, and contribute to establishing engineering best ... Exposure to modern data tools and frameworks such as Kubernetes, Docker, and Airflow. * Strong ...

Bet365

Senior Data Scientist

Denver, CO

Building, mentoring, and guiding a pragmatic, delivery-focused team of Junior Data Scientists and Machine Learning Engineers, fostering a culture of rapid iteration, continuous learning, and software ...

Equinox Engineering

Junior Process Engineer

Denver, CO · On-site

We are seeking a Junior Process Engineer with 2+ years of experience who is eager to grow their ... Engineering calculations, reports, and data sheets * Conduct basic analyses of facility performance ...

Bet365

Data Science Team Lead/Manager

Denver, CO

This is not a pure people-management role. • Building, mentoring, and guiding a pragmatic, delivery-focused team of Junior Data Scientists and Machine Learning Engineers, fostering a culture of ...

AArete

Senior Data Scientist

Denver, CO · On-site

... junior data scientists, own and deliver outcome with thorough project management, planning and sound architectural decisions * Advanced Generative AI experience, including prompt engineering, LLM ...

AArete

Senior Data Scientist

Denver, CO · On-site

... junior data scientists, own and deliver outcome with thorough project management, planning and sound architectural decisions * Advanced Generative AI experience, including prompt engineering, LLM ...

Rincon Research Corp

Jr. Software Engineer

Centennial, CO · On-site

$98K - $123K/yr

Rincon Research Corporation (RRC), an employee-owned company, is seeking an Jr. Software Engineer ... You create effective user interfaces and data visualization tools. A key responsibility is staying ...

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Showing results 21-40

All JobsData Engineer JobsJunior Data Engineer JobsJunior Data Engineer Jobs in Colorado

Junior Data Engineer information

See Colorado salary details

$35.2K

$75.5K

$115.1K

How much do junior data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for junior data engineer in Colorado is $75,498.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $84,100.00 per year, depending on experience, location, and employer.

What is a junior data engineer?

A Junior Data Engineer is an entry-level role focused on building and maintaining data pipelines, supporting data integration, and ensuring efficient data flow within an organization. They work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to help store, process, and analyze data. Junior Data Engineers collaborate with senior engineers and data analysts to optimize data infrastructure and improve performance. They typically have knowledge of SQL, Python, and big data tools like Spark or Hadoop. This role serves as a foundation for advancing into senior data engineering positions.

What are the typical responsibilities of a junior data engineer?

As a Junior Data Engineer, you will likely spend your days assisting with data pipeline development, performing basic data extraction, transformation, and loading (ETL) tasks, and helping maintain and troubleshoot databases. You may also be responsible for supporting data quality checks, writing simple scripts, and documenting your processes to help senior engineers and data analysts. Collaboration is key, as you'll often work closely with team members to understand project requirements and integrate feedback. This role offers the chance to build technical skills on real-world projects while gaining mentorship from experienced engineers.

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 Junior Data Engineer jobs in Colorado?

For Junior Data Engineer jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Junior Data Engineer jobs in Colorado look for?

The top searched job categories for Junior Data Engineer jobs in Colorado are:

What cities in Colorado are hiring for Junior Data Engineer jobs?

Cities in Colorado with the most Junior Data Engineer job openings:

Junior Data Engineer jobs near you
Infographic showing various Junior Data Engineer job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $75,498 per year, or $36.3 per hour.

Senior Data Scientist - Risk & Compliance Domain

R2 Technologies Corporation

Denver, CO • On-site

Full-time

Re-posted 26 days ago

Job description

Overview:
Job Title: Senior Data Scientist - Risk & Compliance Domain (Job ID: 2098)
Location: Remote (but need someone local to - Denver, CO 80237)
Duration: July 15, 2025 - February 27, 2026
Hire Type: Contractor (Contract Only)
Role Responsibilities:
Project Management: Leading and managing end to end data science projects, defining objectives, define requirements, and ensuring timely delivery.
Model Development & Implementation: Developing and validating machine learning and statistical models, implementing predictive models, and optimizing existing ones.
Data Analysis & Insights: Analyzing large datasets, identifying trends and patterns, and extracting actionable insights to inform business decisions.
Collaboration & Communication: Working with cross-functional teams and stakeholders, including engineering, product, and business stakeholders, to translate complex data into actionable strategies.
Mentorship & Guidance: Providing guidance and mentorship to junior data scientists, sharing expertise, and fostering their professional growth.
Staying Updated: Keeping abreast of the latest advancements in data science and AI, exploring new tools and techniques, and identifying opportunities for innovation.
Strategic Input: Contributing to the development of data-driven strategies and providing input on technical approaches for projects.
Role Requirements:
Bachelor's degree in Computer Science, Statistics, Applied Math, or related field (Master's or PhD strongly preferred).
5+ years of industry experience in applied machine learning, with 2+ years focused on deep learning and neural network applications.
Experience in Banking, Payments or Financial Services leading in detecting and preventing digital fraud, scams and social engineering.
Able to quickly understand our current Risk Models with the goal of building a flexible AI solution that partners with our current risk tools to maintains our high standards for Risk Prevention and Compliance while providing flexibility to effectively run our business.
Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
Experience navigating difficult scenarios developing and implementing execution ideas with minimal guidance.
Proficiency in programming languages like Python or R.
Ability to create clear and concise visualizations to communicate complex data.
Ability to create clear and standard data models to communicate with the stakeholders and to capture the semantics of the data and the complex semi-structured content.
Strong analytical and problem-solving skills, with the ability to tackle complex business challenges.
Excellent communication and presentation skills to effectively convey findings to both technical and non-technical audiences.
Experience and willingness to lead and mentor a team, providing guidance and support to junior members
Skills:
Risk & Compliance

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