Top 14 Data engineer Jobs in Fort Collins Co

Senior AI Data Analytics Engineer
BillGO, Inc. —Fort Collins, CO
- $132,800 - $196,500 a year
- Full-time
- SQL
- Mentoring
- Senior level
- Health insurance
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AI Data Analytics Engineer
BillGO, Inc. —Fort Collins, CO
- $102,000 - $146,900 a year
- Full-time
- Mid-level
- 3 years
- SQL
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10d
AI Data Foundation Research Engineer
Hewlett Packard Enterprise —Fort Collins, CO
- $126,500 - $240,500 a year
- Full-time
- Computer Science
- Office
- 3 years
Senior Data Engineer Consultant (AI-Forward, Kafka + Databricks)
Proactive Logic Consulting Inc —United States
- $75 - $105 an hour
- Contract
- Remote
- DevOps
- HIPAA
- SQL
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Data Center Services Electrical Commissioning Engineer
CAI —United States
- $91,300 - $107,300 a year
- Full-time
- Hybrid work
- Microsoft Word
- Construction site
- Customer service
- Disability insurance
- Health insurance
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Senior Electrical Commissioning Engineer (Data Centers)
CAI —United States
- $91,300 - $107,300 a year
- Full-time
- Hybrid work
- Microsoft Word
- Construction site
- Customer service
- Disability insurance
- Health insurance
Quick Apply
Data Center Services Mechanical Commissioning Engineer
CAI —United States
- $91,300 - $107,300 a year
- Full-time
- Hybrid work
- Construction site
- 5 years
- English
- Disability insurance
- Health insurance
Quick Apply
Data Center Services Mechanical Commissioning Engineer
CAI —United States
- $72,800 - $85,500 a year
- Full-time
- Hybrid work
- Construction site
- Customer service
- English
- Disability insurance
- Health insurance
Quick Apply
Mechanical Commissioning Engineer (Data Centers)
CAI —United States
- $72,800 - $85,500 a year
- Full-time
- Hybrid work
- Construction site
- Customer service
- English
- Disability insurance
- Health insurance
Quick Apply

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data engineer jobs near fort collins co

Senior AI Data Analytics Engineer

BillGO, Inc. -
Fort Collins, CO

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Job Details

Full-time
$132,800 - $196,500 a year

Benefits

Health insurance

Qualifications

AI models
Data model design
Commercial use (data warehousing systems)
Data Integration (Data management)
Automation
Team leadership
Generative models
AI platforms (beyond public GPTs)
Schema design
SQL
Team development
Data Architecture Design (Architecture design skills)
Production systems
Cloud database architecture
Data integrity process (data warehousing)
Model deployment
Developing large-scale AI models
Mentoring
Model training
Project stakeholder communication
Python
MLOps
Generative AI
Dimensional modeling

Full Job Description

Senior AI Data Analytics Engineer

BillGO is building the next generation of payments — an intelligent network that helps small businesses get paid faster, operate leaner, and grow with confidence. The Senior AI Data Analytics Engineer sets the technical direction for BillGO's data and AI architecture, turning payments data into reliable, scalable, and intelligent products the rest of the organization builds on. Reporting to the VP, Data Office, this role sits at the intersection of data engineering, analytics, AI/ML, and the business. It's an individual-contributor role with no direct reports — leadership is exercised through architecture, standards, and mentorship, not people management. Success is measured by the reliability, reuse, and trustworthiness of BillGO's data and AI products, not the volume of models or dashboards produced.

Why This Role Matters

BillGO's future runs on trustworthy data, and this role owns making sure it stays that way as the company scales. As the architect of the data models, semantic layers, and AI/RAG patterns that Product, Finance, Risk, and Operations all build on, this person turns scattered payments data into a single source of truth - while setting the validation standards that keep AI-generated insights accurate before they ever reach a decision-maker. It's an individual contributor role with outsized reach: get it right, and BillGO moves faster with more confidence - faster reconciliation, fewer fraud losses, and self-service, AI-powered insight in the hands of every team instead of just a few.

What You’ll Do

Data & AI Architecture

Own the architecture and roadmap for scalable data models covering customers, payments, transactions, settlements, and financial reporting
Architect solutions across Snowflake, AWS RDS, and AWS DynamoDB, integrating sources from AWS S3
Lead the design of data dictionaries, semantic layers, and data catalogs that power both human and AI-driven analytics

Data Quality, Governance & Standards

Set and evangelize engineering standards, patterns, and best practices, and drive their adoption across the organization
Establish frameworks for data quality and integrity through testing, monitoring, and documentation
Support regulatory and financial reporting needs — reconciliation, audit readiness — with accurate, well-governed data

Business Partnership & Enablement

Partner with senior leaders across Product, Finance, Risk, and Operations to define key metrics and enable insights, dashboards, and predictive models
Translate ambiguous business strategy into data and AI solutions that scale with company growth
Put AI-powered, self-service insights in the hands of every team

Technical Leadership & Mentorship

Set technical direction that improves visibility into payment performance and revenue drivers
Mentor and coach engineers through design reviews, pairing, and code review
Coach the team on using AI coding and analytics assistants to accelerate development and documentation
How You'll Use AI

This role treats AI as core infrastructure, not a side project. You'll apply generative AI and large language models (e.g., Claude) to accelerate data transformation, documentation, and metric definition, and to enable natural-language access to enterprise data. You'll architect retrieval-augmented generation (RAG) and semantic search over enterprise data so trusted datasets are easily discoverable and queryable by both humans and AI systems. You'll design, build, and operationalize AI/ML workflows — from feature engineering to LLM-powered pipelines — that turn analytics into predictions and automation. And because AI-generated insight is only as good as its validation, you'll establish the responsible AI practices — around bias, hallucination, and data privacy — that ensure AI outputs are checked before they influence a financial decision. You'll also coach the broader team on using AI coding and analytics assistants to work faster and document better.

What You Bring

5+ years in analytics engineering, data analytics, or data engineering, including senior or lead responsibilities
Expert SQL and data analytics skills, with proven ability to model complex datasets (fact/dimension modeling, star schemas) and design data architecture end to end
Deep experience with data warehousing (Snowflake) and transformation frameworks like Coalesce, including establishing team conventions
Experience building and owning metrics layers or semantic models used across multiple teams
Strong command of ELT pipelines, data orchestration, and Python for data processing and automation
Extensive hands-on experience applying generative AI and LLMs to real data and analytics problems in production
Strong experience with RAG, embeddings, and vector databases, plus a solid ML and MLOps foundation
A track record of technical leadership and mentorship, with a critical eye for data accuracy and AI-generated results
Payments, fintech, financial services, or enterprise SaaS experience strongly preferred
Skill at influencing and communicating with senior technical and non-technical stakeholders
Nice to have: advanced data science/ML experience, LLM fine-tuning or benchmarking, agentic AI workflows, event-driven or streaming architectures, and hands-on knowledge of payments concepts like authorization/settlement, interchange, chargebacks, and reconciliation.

Compensation

We offer a competitive executive compensation package, including:

Base salary ($132,800 - $196,500)
Performance incentive
Equity opportunities
Comprehensive health, retirement, and lifestyle benefits

This role is about more than compensation, it’s about the opportunity to transform how small businesses thrive in the digital economy.

Quick Apply

Refine Your Search

data engineer jobs in fort collins co

Senior AI Data Analytics Engineer

AI Data Analytics Engineer

AI Data Foundation Research Engineer

Senior Data Engineer Consultant (AI-Forward, Kafka + Databricks)

Data Center Services Electrical Commissioning Engineer

Senior Electrical Commissioning Engineer (Data Centers)

Data Center Services Mechanical Commissioning Engineer

Data Center Services Mechanical Commissioning Engineer

Mechanical Commissioning Engineer (Data Centers)

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