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Computer Science New Grad Jobs in Denver, CO (NOW HIRING)

New Grad RN

Denver, CO · On-site

$28 - $31.75/hr

Ability to learn and apply computer-related applications and programs, including using electronic ... New RN graduate or Registered Nurse with * Previous work as a CNA, Student Nurse Tech, Triage Tech, ...

New Grad RN Residency

Englewood, CO · On-site

$36.93 - $53.18/hr

We are currently seeking a dedicated and motivated New Grad RN to join our Residency program in a ... EPIC) and basic computer systems KEY RESPONSIBILITIES • Deliver safe, effective, and ...

New Grad RN Residency

Englewood, CO · On-site

$36.93 - $53.18/hr

We are currently seeking a dedicated and motivated New Grad RN to join our Residency program in a ... EPIC) and basic computer systems KEY RESPONSIBILITIES • Deliver safe, effective, and ...

New Grad Residency RN

Wheat Ridge, CO · On-site

$37.45 - $57.29/hr

Bachelor of Science in Nursing (BSN) is required as of the 's last update on 4/27/2025. Employees ... This includes frequent computer use and typing for documenting patient care, accessing needed ...

New Grad RN Residency

Englewood, CO · On-site

$36.93 - $53.18/hr

... basic computer systems KEY RESPONSIBILITIES • Deliver safe, effective, and compassionate care ... of new staff and participate in precepting when assigned • Actively participate in Shared ...

New Grad RN Residency

Englewood, CO · On-site

$36.93 - $53.18/hr

... basic computer systems KEY RESPONSIBILITIES • Deliver safe, effective, and compassionate care ... of new staff and participate in precepting when assigned • Actively participate in Shared ...

New Grad RN Residency

Englewood, CO · On-site

$36.93 - $53.18/hr

... basic computer systems Key Responsibilities • Deliver safe, effective, and compassionate care ... of new staff and participate in precepting when assigned • Actively participate in Shared ...

We are the leading provider of sustainable Engineering, Architecture, Construction and Consulting solutions to the global life sciences and food and beverage industries. Our employees provide best-in ...

We are the leading provider of sustainable Engineering, Architecture, Construction and Consulting solutions to the global life sciences and food and beverage industries. Our employees provide best-in ...

We are the leading provider of sustainable Engineering, Architecture, Construction and Consulting solutions to the global life sciences and food and beverage industries. Our employees provide best-in ...

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Showing results 1-20

Computer Science New Grad information

See Denver, CO salary details

$52K

$114.6K

$141.5K

How much do computer science new grad jobs pay per year?

As of Sep 1, 2026, the average yearly pay for computer science new grad in Denver, CO is $114,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,300.00 and $141,000.00 per year, depending on experience, location, and employer.

What is a computer science new grad?

A Computer Science New Grad job is an entry-level position designed for recent graduates with a degree in computer science or a related field. These roles typically focus on software development, data analysis, cybersecurity, or IT support, depending on the company. Employers seek candidates with strong programming skills, problem-solving abilities, and knowledge of industry-standard tools and technologies. New grads often receive mentorship and training to help them transition into professional environments.

What do computer science new grads do?

As a Computer Science New Grad, you will often start with foundational tasks such as fixing bugs, developing small features, writing tests, and assisting in code reviews. These assignments help you become familiar with the company's codebase, workflows, and development tools while providing opportunities to learn from experienced colleagues. You may also be involved in team meetings, participating in project planning sessions, and collaborating with other developers, product managers, or QA specialists. Over time, as you gain experience and confidence, you'll likely take on larger, more complex projects with greater responsibility. This structured approach allows new grads to build essential skills and smoothly transition into more advanced roles.

What skills and qualifications are needed to thrive as a computer science new grad?

To thrive as a Computer Science New Grad, you need a solid understanding of programming fundamentals, algorithms, and data structures, typically backed by a relevant degree such as a Bachelor’s in Computer Science or related field. Familiarity with industry-standard programming languages (such as Python, Java, or C++), version control systems like Git, and experience with development environments or cloud platforms is highly valued. Strong problem-solving abilities, eagerness to learn new technologies, and effective communication skills help new grads excel in collaborative and fast-paced team settings. These competencies are crucial for adapting to real-world projects, contributing effectively to technical teams, and building a successful early career trajectory.

What are popular job titles related to Computer Science New Grad jobs in Denver, CO?

For Computer Science New Grad jobs in Denver, CO, the most frequently searched job titles are:

What cities near Denver, CO are hiring for Computer Science New Grad jobs?

Cities near Denver, CO with the most Computer Science New Grad job openings:

Infographic showing various Computer Science New Grad job openings in Denver, CO as of August 2026, with employment types broken down into 16% Internship, 48% Full Time, and 36% Part Time. Highlights an 100% In-person job distribution, with an average salary of $114,603 per year, or $55.1 per hour.

Software Engineer I, Data Science (New Grad)

True Anomaly

Denver, CO • On-site

$117K - $141K/yr

Full-time

Posted 8 days ago


Job description

Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.
OUR MISSION
True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors - enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.
OUR VALUES
  • Be the offset. We create asymmetric advantages with creativity and ingenuity.
  • What would it take? We challenge assumptions to deliver ambitious results.
  • It's the people. Our team is our competitive advantage and we are better together.

YOUR MISSION
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You'll turn spacecraft data into actionable insights across manufacturing and operations: building dashboards that surface production bottlenecks and on-orbit anomalies, analyzing test failures and mission telemetry to identify root causes, training predictive models that flag at-risk components before integration and detect spacecraft health degradation during missions, and mining telemetry to catch anomalies operators would miss. Your work spans the full spacecraft lifecycle. Pre-launch, you'll analyze manufacturing telemetry, test logs, failure reports, and supplier data to catch problems before integration. Post-launch, you'll monitor on-orbit telemetry streams, detect anomalies in spacecraft health data, analyze mission performance, and flag degradation patterns that predict future failures. This is entry-level data science work supporting hardware production and spacecraft operations. You'll write SQL queries, build predictive models in Python, create operational dashboards, and see your analysis drive decisions on the manufacturing floor and in mission control.
This is a 3 month temporary employment engagement. There is potential to convert to regular employment based on performance and business need.
RESPONSIBILITIES
  • Perform exploratory data analysis on manufacturing telemetry, test logs, mission data, and on-orbit spacecraft health telemetry to identify patterns and surface anomalies
  • Build operational dashboards in Grafana or Plotly Dash showing real-time production status, spacecraft health metrics, mission performance, and anomaly alerts
  • Train basic predictive models (logistic regression, random forests) to flag at-risk components during manufacturing and predict spacecraft health degradation during missions
  • Write SQL queries to extract, join, and aggregate data from manufacturing databases, test systems, mission telemetry streams, and spacecraft health archives
  • Analyze test failures and on-orbit anomalies to identify common failure modes, cluster similar issues, and quantify impact on schedule and mission success
  • Create data visualizations (matplotlib, seaborn, Plotly) that communicate findings to engineers, manufacturing leads, mission operators, and program managers
  • Implement statistical process control charts to detect out-of-spec conditions in manufacturing processes and spacecraft telemetry before they cascade
  • Monitor on-orbit telemetry streams for anomalies: battery voltage trends, thermal behavior, attitude control health, communications link quality
  • Document analysis methodology in Jupyter notebooks enabling reproducibility and knowledge transfer across manufacturing and operations teams
  • Learn reliability engineering and mission operations concepts: failure modes, burn-in testing, on-orbit commissioning, spacecraft health monitoring, and anomaly response procedures

QUALIFICATIONS
  • Bachelor's or Master's degree in data science, statistics, industrial engineering, applied mathematics, operations research, or related quantitative field
  • Proficiency in Python for data analysis: pandas, numpy, matplotlib, seaborn
  • Working knowledge of SQL for querying relational databases: SELECT, JOIN, GROUP BY, aggregation functions
  • Coursework in statistics: hypothesis testing, regression, probability distributions, experimental design
  • Ability to create clear visualizations that communicate insights to technical and non-technical audiences
  • Strong curiosity about how things fail and how data can predict failures before they happen
  • Debugging mindset: when the model gives wrong answers or the query returns unexpected results, you dig in to find out why
  • Eagerness to learn manufacturing, operations, and reliability engineering domains where data drives real decisions
  • U.S. Citizen (required for facility access and government contracts)

PREFERRED SKILLS AND EXPERIENCE
  • Experience with machine learning in Python: scikit-learn for classification/regression, model validation, train/test splits, cross-validation
  • Familiarity with time-series analysis: plotting sensor trends, detecting change points, smoothing noisy signals
  • Exposure to data visualization tools: Grafana, Tableau, Plotly Dash, or similar dashboard frameworks
  • Understanding of basic reliability concepts: failure rates, survival curves, mean time between failures (MTBF)
  • Prior internship or project analyzing real-world operational data: manufacturing, logistics, quality control, IoT sensor data
  • Experience with version control (git) and collaborative data analysis workflows
  • Coursework or projects in industrial engineering, operations research, or quality management
  • Familiarity with data cleaning and wrangling: handling missing values, outlier detection, data quality assessment
  • Understanding of experimental design: A/B testing, randomized controlled trials, confounding variables
  • Exposure to anomaly detection techniques: z-scores, control charts, boxplot analysis
  • Prior work with manufacturing or hardware production data (even from coursework or academic projects)
  • Familiarity with Jupyter notebooks, literate programming, and reproducible analysis practices

COMPENSATION
  • Base Salary: Denver: $75,000; Long Beach: $80,000

ADDITIONAL REQUIREMENTS
  • Work Location-Successful candidates will be located near Denver or Colorado Springs. While we observe a hybrid work environment, some work must be done on site.
  • Work environment-the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
  • Physical demands-the physical demands of the job, including bending, sitting, lifting and driving.

This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us.