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Data Engineer Data Scientist Jobs in Colorado (NOW HIRING)

Cymertek Corporation

Big Data Engineer

Aurora, CO · On-site

$56.75 - $75.25/hr

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Data Science, Information Systems, Software Engineering, Electrical Engineering, Mathematics, Statistics, Computational ...

Booz Allen Hamilton, Inc.

Data Scientist, Lead

Aurora, CO · On-site +1

$112K - $257K/yr

... data engineering, or data warehousing, or Master's and 12+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability ...

Booz Allen Hamilton, Inc.

Data Scientist, Lead

Aurora, CO · On-site

$112K - $257K/yr

... data engineering, or data warehousing, or Master's and 12+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability ...

Booz Allen Hamilton

Data Scientist, Lead

Aurora, CO

$112K - $257K/yr

... data engineering, or data warehousing, or Master's and 12+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability ...

Booz Allen Hamilton

Data Scientist, Lead

Aurora, CO · On-site

$112K - $257K/yr

... data engineering, or data warehousing, or Master's and 12+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability ...

ALKEME Insurance

Data engineer

Denver, CO · On-site

$117K - $141K/yr

Required : • Bachelor's or Master's degree in Computer Science, Engineering, or a related field ... experience in data engineering • Strong programming skills in Python, Java, or Scala • ...

Awardco

Data Scientist

Lindon, CO · On-site

As a Data Scientist working with Awardco's Go-to-Market (GTM) teams, you'll have the opportunity to ... Partner with our BI and Data Engineering teams on metric definitions and data infrastructure * Work ...

ZR Sandbox

Data Scientist

Boulder, CO · On-site

$130K - $160K/yr

DEEP DIVE INTO THIS ROLE As a Data Scientist, you'll analyze large datasets, develop predictive models, and work with engineering teams to integrate your solutions into production.Key ...

iNovex Information Systems

Data Scientist 3

Aurora, CO · On-site

$148K - $214K/yr

Job Brief Data Analytics, Data Science, Machine Learning, Programming Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and ...

iNovex Information Systems

Data Scientist 2

Aurora, CO · On-site

$120K - $140K/yr

Job Brief Data Science, Jupyter, Analytics We're searching fortalented individuals who provide ... Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific ...

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All JobsData Engineer Data Scientist JobsData Engineer Data Scientist Jobs in Colorado

Data Engineer Data Scientist information

How do data engineer data scientists typically collaborate with other teams within an organization?

Data Engineer Data Scientists often work closely with data analysts, software engineers, and business stakeholders to ensure that data pipelines are both reliable and tailored to business needs. They are responsible for transforming raw data into actionable insights, which means they regularly participate in cross-functional meetings to understand project requirements and feedback. Collaboration often includes designing data models, optimizing queries, and deploying machine learning models, all while ensuring data integrity and security. This collaborative environment not only enhances the quality of data-driven solutions but also provides opportunities for continuous learning and professional growth.

What are the key skills and qualifications needed to thrive as a data engineer or data scientist, and why are they important?

To thrive as a Data Engineer or Data Scientist, you need a strong background in mathematics, statistics, programming (commonly Python or SQL), and data modeling, often supported by a degree in computer science or a related field. Familiarity with big data frameworks (such as Hadoop or Spark), data visualization tools, and cloud platforms (like AWS or Azure), as well as relevant certifications, is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for translating data insights into actionable business recommendations. These skills and qualities enable professionals to efficiently process complex data, drive data-informed decisions, and add value to organizations.

What is the difference between Data Engineer Data Scientist vs Data Analyst?

AspectData EngineerData Analyst
Required CredentialsBachelor's/Master's in CS, Engineering, or related; often certifications in cloud or big data toolsBachelor's in Statistics, Math, or related; sometimes certifications in analytics tools
Work EnvironmentBuilds data pipelines, manages databases, works with big data toolsAnalyzes data, creates reports, visualizations for business insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing, finance, retail, consulting

While Data Engineers focus on building and maintaining data infrastructure, Data Analysts interpret data to provide actionable insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Analysts focus on data analysis and reporting.

Can a data engineer work as a data scientist?

A data engineer can transition to a data scientist role since both require strong skills in data manipulation, programming, and understanding of data systems. However, data scientists typically focus more on statistical analysis, machine learning, and modeling, which may require additional training or experience. Familiarity with tools like Python, R, and SQL is common to both roles.

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

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

Data Engineer Data Scientist jobs near you
Infographic showing various Data Engineer Data Scientist 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.

Data Scientist - GEOINT Analysis

Colorado Springs, CO • On-site

Assertive Professionals
Guided Missile and Space Vehicle Manufacturing • 11 - 50 employees
Learn more about Assertive Professionalsexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Job description

Assertive Professionals is seeking a Data Scientist supporting our National Security customer in Colorado Springs, CO.
This is a proposed position, we are offering a salary of $160,000 with a $2,000 sign-on bonus, or reimbursable relocation.
This is a great opportunity to work for an employee-centric, fast-growing small business. We offer an excellent benefits package, including PTO (accrual rates vary by contract and customer requirements), 401(k) Match at 5%, Profit Sharing, Company-paid Life Insurance, Dental, Vision, STD/LTD, and two options under a national medical plan with employee contribution.There is an additional $1,200 annual corporate bonus for time and attendance compliance!
Responsibilities Include:
This position is responsible for conducting data science functions on structured and unstructured data to streamline intelligence analysis and production. The data scientist will work to enrich analytical results and will develop and maintain Python code in support of mission requirements.
Required Experience and Qualifications:
  • TS/SCI w/ CI Poly
  • 7 years of relevent experience
  • Demonstrate experience and knowledge of computer science concepts, data architecture, intelligence practices, and managing data in a big-data environment.
  • Demonstrate expert knowledge of Python, and Jupyter Notebooks and/or JupyterLabs.
  • Author cogent and logical scripts using Python and other applicable languages in a virtual environment using common Integrated Development Environments (IDE) such as VS Code, Spyder, PyScript, or Jupyter Notebooks.
  • Develop and use advanced software programs, algorithms, querytechniques, models to solve complex intelligence problems, and automated processes to normalize, integrate, and evaluate data.
  • Debug existing and future Python code; refactor legacy code to ensure continued security, functionality, and compatibility.
  • Document and block-comment all code to ensure recoverability and error-checking, and enhance reading, checking, and maintaining code in accordance with common data science and coding standards, such as PEP-8 for Python,5 or using style-guide features embedded in common IDE applications, such as Spyder, VS Code, PyScript or others upon approval by the Government.
  • Collaborate across multi-discipline teams to ensure connectivity between various data sources and business problems.
  • Identify meaningful insights, interpret, and communicate findings, plus make recommendations to stakeholders.
  • Analyze requirements and evaluate technologies for data science capabilities including Natural Language Processing, Machine Learning, predictive modeling, statistical analysis, and hypothesis testing.
  • Maintain awareness of emerging analytics and big-data technologies.
  • Complete required course NSA NETA1400 (Technology Fundamentals for Analysis); recommended completion of any of the following NSA Courses: NETA2402/NETA2108 (Analysis II), RPTG2238, RPTG2235, RPTG3225, RPTG3222 (Basic Analytical Reporting) or equivalent curriculum.
  • Complete recommended certifications: Data Science Council of America (DASCA) certifications, such as Associate Big Data Engineer (ABDE), Associate Big Data Analyst (ABDA), and Senior Data Scientist (SDS); Google Data Analytics Professional Certificate; IBM Data Science Professional Certification.

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