ZipRecruiter

Log In

1

Associate Data Engineering Jobs in Colorado (NOW HIRING)

Prescient Edge

Senior Data Scientist

Colorado Springs, CO · On-site

$135K - $210K/yr

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 ...

NEOTech

Engineering Data Technician (24353)

Longmont, CO · On-site

$65K - $68K/yr

Communication, both written and verbal, with customers and associates. * Interface with workflow and data management systems. * Interpret and convey customer technical specifications, engineering ...

KPMG

Manager, AI Engineer

Denver, CO

... science, data science, engineering, or related field required; Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML ...

TekSynap

Senior Data Manager

Denver, CO

$69.25 - $92.75/hr

Microsoft Azure Data Engineer Associate * Microsoft SQL Server / Azure Database certifications * Lean Six Sigma Black Belt (Preferred) * COBIT 2019 Foundation or Design & Implementation * PMI ...

Walmart

(USA) Senior Manager, Data Science

Denver, CO · On-site

$132K - $264K/yr

... associates, and ensuring the continuous improvement of data science practices. The ideal candidate ... Guide and mentor team members on advanced modeling techniques, feature engineering, and ...

previous page

Showing results 41-60

All JobsAssociate Data Engineering JobsAssociate Data Engineering Jobs in Colorado

Associate Data Engineering information

What are some typical projects an associate data engineer might work on in their first year?

In their first year, an Associate Data Engineer often works on building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of new data sources. They may also assist in optimizing existing data workflows for better performance and reliability, as well as collaborating closely with data analysts and senior engineers to ensure data quality and accessibility. These projects help new team members develop a strong understanding of the organization's data infrastructure and best practices in data engineering.

What are the key skills and qualifications needed to thrive as an associate data engineer, and why are they important?

To thrive as an Associate Data Engineer, a solid understanding of database systems, SQL, data modeling, and a relevant bachelor's degree in computer science or a related field is essential. Familiarity with ETL tools, cloud platforms like AWS or Azure, and programming languages such as Python or Java is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help set candidates apart in collaborative, data-driven environments. These skills and qualities are crucial for building reliable data pipelines, ensuring data quality, and enabling actionable business insights.

What is an associate data engineer?

An Associate Data Engineer is an entry-level professional who assists in designing, building, and maintaining data pipelines and infrastructure. They typically work with senior data engineers to ensure data is collected, stored, and processed efficiently for analytics and business use. Responsibilities often include data cleaning, integration, and supporting the development of scalable data solutions. Associate Data Engineers usually have foundational knowledge of programming, databases, and cloud technologies.

What is the difference between Associate Data Engineering vs Data Engineer?

AspectAssociate Data EngineeringData Engineer
Required CredentialsBachelor's degree in CS, IT, or related field; some certificationsBachelor's or master's degree; extensive experience preferred
Work EnvironmentEntry-level, team-focused, supporting data pipelinesDesigning, building, and maintaining large-scale data systems
Employer & Industry UsageCommon in tech companies, finance, healthcareUsed across industries for advanced data infrastructure roles
Search & Comparison IntentEntry-level, learning, support rolesAdvanced, specialized data infrastructure roles

The main difference between Associate Data Engineering and Data Engineer lies in experience and responsibilities. Associate Data Engineers are typically entry-level, focusing on supporting data pipelines and gaining hands-on experience. Data Engineers have more experience, handling complex data architecture, optimization, and system design. Both roles require similar educational backgrounds, but Data Engineers usually have more technical expertise and responsibility.

What are the most commonly searched types of Data Engineering jobs in Colorado? The most popular types of Data Engineering jobs in Colorado are:
What are popular job titles related to Associate Data Engineering jobs in Colorado? For Associate Data Engineering jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Associate Data Engineering jobs in Colorado look for? The top searched job categories for Associate Data Engineering jobs in Colorado are:
What cities in Colorado are hiring for Associate Data Engineering jobs? Cities in Colorado with the most Associate Data Engineering job openings:
Associate Data Engineering jobs near you
Infographic showing various Associate Data Engineering job openings in Colorado as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Hybrid job distribution.

Senior Data Scientist

Prescient Edge

Colorado Springs, CO • On-site

$135K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 2 days ago

Job description

Job Title
Senior Data Scientist
Location
Colorado Springs, CO 80910 US (Primary)
Category
Intelligence
Job Type
Full-Time
Career Level
Staff
Education
Associate Degree
Travel
Security Clearance Required
TS/SCI with CI Polygraph
Job Description
Prescient Edge is seeking a Senior Data Scientist to support a federal government client.
Please note that the availability of this position is contingent upon.
Benefits & Compensation:
At Prescient Edge, we believe that acting with integrity and serving our employees is the key to everyone's success. To that end, we provide employees with a best-in-class benefits package that includes:
  • A competitive salary with performance bonus opportunities.
  • Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage.
  • A substantial retirement plan with no vesting schedule. Career development opportunities, including on-the-job training, tuition reimbursement, and networking.
  • A positive work environment where employees are respected, supported, and engaged.
  • Salary range: $135,000 - $210,000. Salary to be determined by the education, experience, knowledge, skills and the abilities of the applicant internal equity, and alignment with market data.

Description:
  • Conduct data science functions on structured and unstructured data to streamline intelligence analysis and production, enrich results, and develop and maintain Python code.
  • 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.
  • Design and develop methods, processes, and systems to consolidate and analyze structured and unstructured data from diverse sources including "big data" sources using Python; demonstrate expert knowledge of Pandas and geospatial functions within Python.
  • Develop and use advanced software programs, algorithms, query
  • Perform research on various data sources, including structured and unstructured data using quantitative and qualitative metadata and content analytics.
  • Construct and perform complex database queries in multiple SIGINT databases and Application Programming Interface (API) interfaces utilizing Python and other applicable computer languages.
  • Techniques, 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.
  • Demonstrate knowledge of NSA data architecture, Application Programming Interfaces (APIs), and analyst tools.
  • 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.

Job Requirements
Experience:
  • Over 10 years of relevant experience.
  • Advanced knowledge of Python and other relevant languages; relevant STEM degree and/or cyber certifications.
  • 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 Jupyter Labs.

Education:
  • Associate's degree or higher in a cyber or relevant STEM discipline.
  • 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.

Security Clearance:
  • Security clearance required TS/SCI w/ CI Polygraph

Location:
  • Colorado Springs, CO.

Prescient Edge is a Veteran-Owned Small Business (VOSB) founded as a counterintelligence (CI) and Human Intelligence (HUMINT) company in 2008. We are a global operations and solutions integrator delivering full-spectrum intelligence analysis support, training, security, and RD&E support solutions to the Department of Defense and throughout the intelligence community. Prescient Edge is an Equal Opportunity Employer (EEO). All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic that is protected by law. We strive to foster equity and inclusion throughout our organization because we believe that diversity of thought is critical for creating a safe and engaging work environment while also enabling the organization's success.
Prescient Edge logo

About Prescient Edge

Sourced by ZipRecruiter

Prescient Edge is a prominent name in the global security industry, based out of McLean, VA, US. Established with the primary mission of harnessing science and technology for safety and security purposes, the company specializes in providing a wide range of products and services. This includes research and development, consulting, global operations support, intelligence evaluation, and advanced data solutions. These offerings make Prescient Edge an integral factor in national defense and commercial innovations.

Industry

Guided missile and space vehicle manufacturing

Company size

51 - 200 Employees

Headquarters location

McLean, VA, US

Year founded

2008

Social media

FacebookTwitter

View All Prescient Edge Jobs

Apply