1

Data Engineer Government Jobs in Colorado (NOW HIRING)

As a Data Conversion Software Engineer , you'll help design, build, and maintain systems that transform and integrate data across platforms supporting government-funded workforce development programs ...

Data Conversion Software Engineer

Denver, CO · On-site

$60K - $100K/yr

  • Medical

  • PTO

As a Data Conversion Software Engineer , you'll help design, build, and maintain systems that transform and integrate data across platforms supporting government-funded workforce development programs ...

Senior Data Manager

Denver, CO

$69.25 - $92.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Requires strong technical and computational skills - engineering, physics, mathematics, coupled ... Government customers. We offer our full-time employees a competitive benefits package to include ...

Design Engineer (ND2) (Government)

Englewood, CO · On-site

$89K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... critical data flows. * Provide technical expertise to Operations engineers and technicians ... Our Design Engineer (ND2) (Government) earns $89,200 - $180,000 yearly. Not to mention all the ...

Design Engineer (ND2) (Government)

Englewood, CO

$89K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... critical data flows. * Provide technical expertise to Operations engineers and technicians ... Our Design Engineer (ND2) (Government) earns $89,200 - $180,000 yearly. Not to mention all the ...

Director, Investment Data & Intelligence

Denver, CO

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Government and Policy Affairs. Transamerica employs nearly 7,000 people. It's part of Aegon, an ... Investment Data Engineering * Architect and build cloud-native data platforms supporting current ...

As a Data Conversion Software Engineer , you'll help design, build, and maintain systems that transform and integrate data across platforms supporting government-funded workforce development programs ...

FSR Engineer

Colorado Springs, CO · On-site

$130K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

FSR Engineer Employment Type: Full-Time, Mid-Level Department: Administrative and Logistics Support ... Data Science Our Commitment: Contact Government Services (CGS) strives to simplify and enhance ...

FSR Engineer

Colorado Springs, CO · On-site

$130K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

FSR Engineer Employment Type: Full-Time, Mid-Level Department: Administrative and Logistics Support ... Data Science Our Commitment: Contact Government Services (CGS) strives to simplify and enhance ...

Data Science Engineer

Westminster, CO · On-site

$100K - $140K/yr

Our client is currently seeking a Data Science Engineer Location : Onsite in Westminster, CO Salary ... Prior work on government R&D programs (SBIR/STTR, AFRL, DARPA, Space Force) and familiarity with ...

Showing results 41-60

Data Engineer Government information

See Colorado salary details

$46.8K

$136.4K

$186.6K

How much do data engineer government jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data engineer government 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 is a data engineer government?

A Data Engineer in government is responsible for designing, building, and maintaining data pipelines and infrastructure to support public sector analytics and decision-making. They work with large datasets, ensuring data is collected, stored, and processed efficiently while complying with government regulations and security standards. Their role often involves integrating diverse data sources, optimizing data workflows, and collaborating with analysts and policymakers to derive meaningful insights for public services and policy development.

What types of projects do data engineers typically work on in government agencies?

Government Data Engineers often work on large-scale data integration, data warehouse development, and the creation of automated pipelines to consolidate and secure public sector information. Projects can include developing platforms for analyzing public records, supporting policy research with reliable datasets, or improving the accessibility of open data for citizens and internal teams. You will frequently collaborate with data analysts, IT staff, and policy experts to ensure data solutions meet both technical requirements and regulatory standards. These projects are impactful, as they help improve public services, streamline government operations, and enhance transparency.

What are the key skills and qualifications needed to thrive in the data engineer government position, and why are they important?

A successful Data Engineer Government needs strong skills in data architecture, data integration, and programming languages like SQL and Python, usually backed by a degree in computer science or a related field. Familiarity with big data technologies (such as Hadoop or Spark), ETL tools, and certifications like AWS Certified Data Analytics are highly valuable. Excellent problem-solving, attention to detail, and the ability to communicate complex information clearly enhance performance in this position. These abilities are crucial for building secure, efficient data systems that support government decision-making and comply with regulatory standards.

What are the most commonly searched types of Data Engineer Government jobs in Colorado?

The most popular types of Data Engineer Government jobs in Colorado are:

What are popular job titles related to Data Engineer Government jobs in Colorado?

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

Infographic showing various Data Engineer Government 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 $136,399 per year, or $65.6 per hour.

Data Scientist - Signal Analysis with Security Clearance

Assertive Professionals

Colorado Springs, CO • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New


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.