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Weekend Financial Data Engineer Jobs in Colorado

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses

Data Engineer

Almont, CO · On-site

$114K - $137K/yr

Knowledge of financial and cost data, preferably Activity Based Costing & customer profitability systems. Education: * Bachelor''s or equivalent experience.

Data Engineer

Denver, CO

$120K - $160K/yr

From financial crimes and sanctions to export controls and threat identifications, our tools ... a Data Engineer to join us as we work to shape the way businesses perceive and navigate global ...

Data Engineer

Denver, CO · On-site

$120K/yr

... Financial systems, and Operational Systems. * Proficiency in cloud architecture, cloud-based data ... programming interfaces, and cloud data security preferably in high transaction real-time ...

... finance leaders to prioritize data needs · Serve as a bridge between technical systems and ... for data engineering within the organization Performance Expectations: · Drive measurable ...

Data Engineer

Denver, CO · On-site

$90K - $107K/yr

... finance leaders to prioritize data needs • Serve as a bridge between technical systems and ... data engineering within the organization Performance Expectations: • Drive measurable ...

Data Engineer

Denver, CO

$125K - $140K/yr

By bringing efficiency, expertise, and purpose-built technology to complex financial transactions ... Must be available to work standard business hours and occasional nights/weekends. * Travel is ...

... finance leaders to prioritize data needs · Serve as a bridge between technical systems and ... for data engineering within the organization Performance Expectations: · Drive measurable ...

Mid- Level Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Our focus is on speed to value with financial and execution discipline. We strive to double the ... As part of the Data Engineering & Business Intelligence team, you will be responsible for ...

Mid- Level Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Our focus is on speed to value with financial and execution discipline. We strive to double the ... As part of the Data Engineering & Business Intelligence team, you will be responsible for ...

Data Engineer

Denver, CO · Hybrid

$90K - $115K/yr

Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes ... Your opportunity As a Data Engineer, you will design and deliver robust data pipelines and ...

Data Engineer

Denver, CO · On-site

$90K - $115K/yr

Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes ... Your opportunity As a Data Engineer, you will design and deliver robust data pipelines and ...

Lead Data Engineer

Denver, CO

$117K - $141K/yr

These include 1) World Financial Group, including Transamerica Financial Advisors, 2) Protection ... Summary The Lead Data Engineer is responsible for the design, architecture and support of systems ...

Data Engineer

Englewood, CO · On-site +1

$174K - $261K/yr

Our mission is to enable our community of data scientists, analysts, and developers to derive ... financial, and/or other benefits, dependent on the position offered. Learn more about Viasat ...

Senior Data Engineer, Global

Denver, CO · On-site

$109K - $148K/yr

Our focus is on speed to value with financial and execution discipline. We strive to double the ... Vantage Data Centersis seeking a Senior Data Engineer to help evolve and scale our enterprise data ...

Senior Data Engineer, Global

Denver, CO · On-site

$109K - $148K/yr

Our focus is on speed to value with financial and execution discipline. We strive to double the ... Vantage Data Centers is seeking a Senior Data Engineer to help evolve and scale our enterprise data ...

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Weekend Financial Data Engineer information

What is the difference between Weekend Financial Data Engineer vs Weekend Financial Data Analyst?

AspectWeekend Financial Data EngineerWeekend Financial Data Analyst
Required CredentialsBachelor's in Computer Science, Finance, or related field; experience with data engineering toolsBachelor's in Finance, Economics, or related; strong analytical skills
Work EnvironmentFocus on building data pipelines, managing databases, and infrastructureFocus on analyzing data, creating reports, and providing insights
Employer & Industry UsageFinancial institutions, fintech companies, investment firmsBanking, investment firms, financial consultancies
Common Search & ComparisonOften compared based on technical skills and infrastructure tasksCompared based on analytical skills and reporting capabilities

The Weekend Financial Data Engineer primarily focuses on developing and maintaining data infrastructure, requiring technical skills in data engineering tools. In contrast, the Weekend Financial Data Analyst emphasizes analyzing financial data and generating insights. Both roles are vital in financial organizations but differ in their core responsibilities and skill sets.

What are the most commonly searched types of Financial Data Engineer jobs in Colorado? The most popular types of Financial Data Engineer jobs in Colorado are:
What are popular job titles related to Weekend Financial Data Engineer jobs in Colorado? For Weekend Financial Data Engineer jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Weekend Financial Data Engineer jobs? Cities in Colorado with the most Weekend Financial Data Engineer job openings:
Infographic showing various Weekend Financial Data Engineer job openings in Colorado as of June 2026, with employment types broken down into 1% As Needed, 83% Full Time, 9% Part Time, 1% Temporary, and 6% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.
Data Engineer

$117K - $141K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Key responsibilities

  • 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.

  • Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows.


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.