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Entry Level Process Engineer Jobs in Colorado (NOW HIRING)

DLR Group

Structural Engineer - Renewables

Denver, CO · Hybrid

Denver, CO Position Summary As an Entry Level Structural Engineer at DLR Group you will be responsible for participating in the design process of structural systems for our Renewable Energy division ...

DLR Group

Structural Engineer - Renewables

Denver, CO · On-site

$76K - $97K/yr

Denver, CO Position Summary As an Entry Level Structural Engineer at DLR Group you will be responsible for participating in the design process of structural systems for our Renewable Energy division ...

Microchip Technology

Engineer I- Software

Boulder, CO · On-site

... processing, satellite communications, airborne timing, and navigation systems. Microchip's Government Systems group is seeking an entry-level Software Engineer to join our Software Engineering team ...

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All JobsProcess Engineer JobsEntry Level Process Engineer JobsEntry Level Process Engineer Jobs in Colorado

Entry Level Process Engineer information

See Colorado salary details

$52K

$96.8K

$149.8K

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

As of Jun 15, 2026, the average yearly pay for entry level process engineer in Colorado is $96,758.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,300.00 and $108,300.00 per year, depending on experience, location, and employer.

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

To thrive as an Entry Level Process Engineer, you need a bachelor’s degree in chemical, mechanical, or industrial engineering and a solid understanding of process design and optimization fundamentals. Familiarity with process simulation software (such as Aspen HYSYS or MATLAB) and knowledge of safety and quality standards are commonly required. Strong analytical thinking, attention to detail, and effective teamwork and communication skills help you excel in project environments. These skills ensure efficient process improvements, adherence to safety protocols, and successful collaboration within engineering teams.

What Does an Entry-Level Process Engineer Do?

An entry-level process engineer studies the processes an organization uses for manufacturing. As an entry-level process engineer, you monitor and report on manufacturing process equipment, production methods, and chemical interactions. Your responsibilities include evaluating the safety of manufacturing processes, determining efficiency, and making recommendations on improvements across all areas of manufacturing. Your duties also include troubleshooting problems in the manufacturing process, developing and implementing changes, and ensuring company-wide safety. You collaborate with teams to devise solutions to production challenges and adhere to regulations and production standards.

What are some typical challenges faced by entry level process engineers during their first year on the job?

Entry level process engineers often encounter challenges such as adapting to complex technical systems, understanding industry-specific regulations, and learning to communicate effectively with multidisciplinary teams. They may also need to quickly grasp company-specific processes and standards while balancing multiple projects under tight deadlines. Seeking mentorship, asking questions, and actively participating in team meetings can help new engineers overcome these hurdles and accelerate their professional growth.

What is the difference between Entry Level Process Engineer vs Process Technician?

AspectEntry Level Process EngineerProcess Technician
Required CredentialsBachelor's degree in engineering or related fieldTechnical diploma or associate degree
Work EnvironmentDesign, analyze, and optimize processes; often involved in project planningOperate and monitor manufacturing equipment; troubleshoot issues
Employer & Industry UsageManufacturing, chemical, pharmaceutical industriesManufacturing plants, production facilities
Common Search & ComparisonOften compared for entry-level roles in process optimizationCompared for hands-on operational roles

In summary, Entry Level Process Engineers focus on designing and improving processes with a bachelor's degree, while Process Technicians handle daily operations and troubleshooting with technical diplomas. Both roles are essential in manufacturing industries but differ in responsibilities and educational requirements.

What does an Entry Level Process Engineer do?

An Entry Level Process Engineer assists in designing, implementing, and optimizing processes within manufacturing or production environments. They typically work under the supervision of senior engineers to analyze workflows, improve efficiency, ensure safety standards, and troubleshoot production issues. Their responsibilities may also include collecting and interpreting data, preparing technical reports, and supporting quality control measures. This role provides hands-on experience and foundational skills in process engineering, often serving as a starting point for a career in the field.
More about Entry Level Process Engineer jobs
What are the most commonly searched types of Process Engineer jobs in Colorado? The most popular types of Process Engineer jobs in Colorado are:
What are popular job titles related to Entry Level Process Engineer jobs in Colorado? For Entry Level Process Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Entry Level Process Engineer jobs in Colorado look for? The top searched job categories for Entry Level Process Engineer jobs in Colorado are:
What cities in Colorado are hiring for Entry Level Process Engineer jobs? Cities in Colorado with the most Entry Level Process Engineer job openings:
Entry Level Process Engineer jobs near you
Entry-Level Machine Learning Engineer

Entry-Level Machine Learning Engineer

SynergisticIT

Denver, CO

Other

Posted 25 days ago

Job description

Junior Machine Learning Engineer

Since 2010, SynergisticIT has helped more than 10,000 jobseekers get hired at hundreds of tech clients by providing the required tech stack, real-world project experience, and U.S.-based exposure.

Role Description

Junior Machine Learning Engineer will be responsible for assisting in the creation, deployment, and monitoring of scalable ML models in production. Duties include data preprocessing, feature engineering, versioning ML models, and integrating machine learning components with live products. You will actively collaborate on project teams utilizing AWS Glue, Databricks, PySpark, TensorFlow, and Azure Data Lake, and contribute to code reviews and documentation tasks.

Required Skills

The role expects demonstrable familiarity with Python, cloud-based ML pipelines, and at least one framework among PyTorch, TensorFlow, or scikit-learn. Industry tools like Databricks for big data processing and Azure Data Lake for managing unstructured datasets are highly valued. Ability to work with code repositories (Git), conduct error analysis, and communicate findings in a business-friendly manner are required. U.S. companies demand project-based evidence of your skills—real internship or portfolio work utilizing modern ML stacks makes you stand out.

Eligibility

Open to all those authorized to work in the U.S., including OPT and CPT visa holders.

Skills Development Path

If you're missing pieces of the ML and cloud deployment stack, the SynergisticIT Job Placement Program offers direct instruction and real project exposure in the precise technologies companies hire for. Supplement your journey with YouTube event recordings, industry blogs, sample interview questions, and the USA Today article. Java Job placement Program Data Science Job Placement Program for getting Hired

SynergisticIT Client Network

SynergisticIT's connections to giants like Facebook, Google, Uber, Amazon, Apple, Twitter, JPMorgan, Walmart Labs, SAP, TCS, and Capgemini ensure broad exposure to high-impact ML roles. Participants secure salaries of $95K–$150K after placement. Master both ML concepts and their real-world cloud deployment by leveraging SynergisticIT's industry-proven curriculum and client relationships, opening doors to the most in-demand U.S. ML engineering jobs.

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