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Data Engineer With Ai Jobs in Colorado (NOW HIRING)

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards. Essential ...

This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards. Essential ...

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Onsite Denver CO (Only local Profiles) Required Skills - SQL Developer, Snowflake Nice to have skills - Python, DB scripting Job Summary • Data Engineer with 8 years of experience and good exposure ...

Data Engineer III

Denver, CO · On-site +1

$117K - $141K/yr

... and AI-enabled use cases across Pearson. The ideal candidate combines strong data engineering ... Partner with analytics engineers, software engineers, QA engineers, architects, and business ...

Data Engineer III

Denver, CO · On-site

$117K - $141K/yr

... AI-enabled use cases across Pearson. The ideal candidate combines strong data engineering practices with deep expertise in cloud-native data platforms, data modeling, analytics engineering, and ...

Data Engineer III

Denver, CO · On-site

$117K - $141K/yr

... AI-enabled use cases across Pearson. The ideal candidate combines strong data engineering practices with deep expertise in cloud-native data platforms, data modeling, analytics engineering, and ...

Data Engineer

Denver, CO

$117K - $141K/yr

Partner with adjacent teams to onboard data assets into the AI-ready platform, document processes ... Data Engineering Fundamentals: Proficiency in Python and SQL, knowledge of Databricks, and ...

Senior Data Engineer, Global

Denver, CO · On-site

$109K - $148K/yr

As a key contributorwithinthe Technology and Systems team, you will bridge traditional data engineering with emerging AI capabilities, ensuring our data platform is prepared for automation, search ...

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

As a data engineer you will be focused on developing jobs, libraries and operations to support data ... with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve ...

As a data engineer you will be focused on developing jobs, libraries and operations to support data ... with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve ...

Data Engineer

Denver, CO · On-site

$85K - $125K/yr

As a data engineer you will be focused on developing jobs, libraries and operations to support data ... with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve ...

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

As a data engineer you will be focused on developing jobs, libraries and operations to support data ... with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve ...

Senior Data Engineer, Global

Denver, CO · On-site

$109K - $148K/yr

As a key contributor within the Technology and Systems team, you will bridge traditional data engineering with emerging AI capabilities, ensuring our data platform is prepared for automation, search ...

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

ClifyX is seeking a Data Engineer with hands-on experience in Snowflake and Python. This critical onsite role requires the candidate to work from the Denver, CO office starting Day 1. Qualifications

Senior Data Engineer

Denver, CO

$109K - $148K/yr

Drive alignment with adjacent teams to onboard data assets into the AI-ready platform; influence ... Data Engineering: Expertise in Python, SQL, and Databricks, and experience with medallion ...

AI Data Engineer II

Denver, CO · On-site

$100K - $136K/yr

Your role is pivotal in harmonizing cross-functional goals with high-quality code standards to ... Minimum Experience: 3+ years of experience in data engineering * Required Technical Skills: Must ...

Principal Data Engineer

Boulder, CO · On-site

$140K - $187K/yr

Partner with product, data science, and platform teams to ship end-to-end AI & Agentic Engineering Leadership * Establish and champion AI engineering practices across the team, from prompt ...

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Showing results 1-20

Data Engineer With Ai information

What is the difference between Data Engineer With Ai vs Data Engineer?

AspectData Engineer With AiData Engineer
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of AI/ML toolsBachelor's in CS, Data Science, or related; strong SQL and programming skills
Work EnvironmentData teams, AI/ML projects, cloud platformsData pipelines, database management, cloud environments
Employer & Industry UsageTech companies, AI startups, data-driven organizationsFinance, healthcare, tech, and other industries
Common Search & Comparison IntentUnderstanding AI integration in data engineeringGeneral data engineering roles and skills

Data Engineer With Ai professionals focus on integrating AI and machine learning into data pipelines, requiring knowledge of AI tools and algorithms. Data Engineers primarily build and maintain data infrastructure. While both roles share foundational skills, Data Engineer With Ai emphasizes AI/ML integration, making it suitable for organizations leveraging AI-driven insights.

What are popular job titles related to Data Engineer With Ai jobs in Colorado? For Data Engineer With Ai jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Engineer With Ai jobs in Colorado look for? The top searched job categories for Data Engineer With Ai jobs in Colorado are:
What cities in Colorado are hiring for Data Engineer With Ai jobs? Cities in Colorado with the most Data Engineer With Ai job openings:
Infographic showing various Data Engineer With Ai job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

$117K - $141K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


GEI Consultants rating

7.6

Company rating: 7.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

275th of 446 rated engineering


Job description

Description
Your role at GEI.
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring enterprise data is accessible, reliable, and governed so that AI capabilities can be deployed and scaled with confidence.
The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI solutions depend on. This includes building ingestion pipelines, managing data stores, implementing quality and governance controls, and supporting retrieval patterns such as RAG. This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards.
Essential Responsibilities & Duties
  • Design, build, and maintain data pipelines that ingest, transform, and deliver enterprise data to AI solutions and business applications.
  • Develop and manage integrations across enterprise data sources using APIs, Graph connectors, event-driven architectures, and batch/streaming patterns.
  • Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns.
  • Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows.
  • Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics.
  • Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution requirements for schema, latency, and freshness.
  • Instrument data pipelines for monitoring, alerting, cost control, and performance optimization.
  • Implement data governance and security controls including access management, encryption, and compliance with organizational data policies.
  • Identify data-related risks and support mitigation strategies in collaboration with architecture and platform teams.

Minimum Qualifications
  • 4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines.
  • Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.
  • Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL.
  • Familiarity with Azure AI Search, Cosmos DB, or similar services used to support AI retrieval and storage patterns.
  • Experience building and managing ETL/ELT pipelines with structured, semi-structured, and unstructured data sources.
  • Knowledge of data modeling, schema design, and indexing strategies for both analytical and AI workloads.
  • Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g., Terraform, Azure DevOps).
  • Knowledge of data governance principles, including data cataloging, lineage, access control, and privacy requirements.
  • Knowledge of security best practices for data solutions, including encryption at rest and in transit, role-based access control, and private networking.
  • Experience with Databricks, including Delta Lake and Unity Catalog, is a plus.
  • Prior experience in professional services, engineering, or construction environments is a plus.
  • Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus.

We are GEI.
Some of the world's most pressing problems - from climate change to sustainable development, to critical infrastructure and the future of our energy supply - need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow.
We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients' most complex challenges.
With several offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. See all our office locations here .
Employee-owned. Employee-focused.
As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more. Our company culture is driven by our 4 Cs - we are Client-Centered, Curious, Collaborative, and Community Minded - which support our focus on sustainability, safety, diversity, equity and inclusion. Get to know us better by visiting GEI's career site here .
GEI's Total Rewards Package Includes
  • Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus
  • Pay Range For This Position: $90,000.00 - $150,000.00/year
  • Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More
  • Well-Being Program and Paid Parental Leave
  • Commuter Benefits
  • Hybrid Work Schedules and Cell Phone Stipends
  • GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement
  • Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement
  • Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses
  • Paid Holidays and Generous Paid Time Off Program
  • Rewards and Recognition
  • GEI-Funded Profit Sharing and 401(k)
  • Opportunity to be an Owner and Shareholder (Learn more here )
  • A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion
  • And More...

PHYSICAL REQUIREMENTS
WORK ENVIRONMENT
Functional Demands:
Sedentary
x
Light
Medium
Other
Activity Level Throughout Workday (check one per row)
Physical Activity Requirements
Occasional
(0-35% of day)
Frequent
(33-66% of day)
Continuous
(67-100% of day)
Not Applicable
Sitting
x
Standing
x
Walking
x
Climbing
x
Lifting (floor to waist level) (in pounds)
x
Lifting (waist level and above) (in pounds)
x
Carrying objects
x
Push/pull
x
Twisting
x
Bending
x
Reaching forward
x
Reaching overhead
x
Squat/kneel/crawl
x
Wrist position deviation
x
Pinching/fine motor skills
x
Keyboard use/repetitive motion
x
Taste or smell (taste=never)
x
Talk or hear
x
Accurate 20/40
Very Accurate 20/20
Not Applicable
Near Vision
x
Far Vision
x
Yes
No
Not Applicable
Color Discrimination
Sensory Requirements
Minimal
Moderate
Accurate
Not Applicable
Depth perception
x
Hearing
x
Environment Requirements
Occupational Exposure Risk Potential
Reasonably Anticipated
Not Anticipated
Blood borne pathogens
x
Chemical
x
Airborne communicable diseases
x
Extreme temperatures
x
Radiation
x
Uneven surfaces or elevations
x
Extreme noise levels
x
Dust/particulate matter
x
Other (exposure risks):
Usual workday hours :
x
8
10
12
Other work hours
GEI is an AA/equal opportunity employer, including disabled and veterans.

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