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Freelance Data Analytics Engineer Jobs in Colorado

BillGO, Inc.

AI Data Analytics Engineer

Fort Collins, CO · On-site

$113K - $135K/yr

We are hiring an AI Data Analytics Engineer to design, build, and ship the data, analytics, and AI capabilities that power BillGO's AI/Data Platform, from trusted data models and self-serve analytics ...

BillGO, Inc.

AI Data Analytics Engineer

Fort Collins, CO · On-site

$102K - $146K/yr

We are hiring an AI Data Analytics Engineer to design, build, and ship the data, analytics, and AI capabilities that power BillGO's AI/Data Platform, from trusted data models and self-serve analytics ...

Propelus

Senior Data Analytics Engineer

Boulder, CO · On-site +1

$109K - $149K/yr

As an Analytics Engineer, you will play a crucial role in transforming raw data into actionable insights to support data-driven decision-making across the company. You will work independently on ...

CoorsTek, Inc.

Forward Deployed Data Engineer

Golden, CO · On-site

$118K - $142K/yr

Identify high-value opportunities for data, analytics, AI, or workflow enablement by partnering with plant leaders, engineers, quality, supply chain, maintenance, finance, and business leaders.

CoorsTek

Forward Deployed Data Engineer

Golden, CO · On-site

$118K - $142K/yr

Identify high-value opportunities for data, analytics, AI, or workflow enablement by partnering with plant leaders, engineers, quality, supply chain, maintenance, finance, and business leaders.

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All JobsData Analytics Engineer JobsFreelance Data Analytics Engineer JobsFreelance Data Analytics Engineer Jobs in Colorado

Freelance Data Analytics Engineer information

What is the difference between Freelance Data Analytics Engineer vs Data Scientist?

AspectFreelance Data Analytics EngineerData Scientist
CredentialsOften requires a degree in data analysis, statistics, or related fields; certifications like Google Data Analytics or Microsoft Certified Data Analyst are commonTypically holds a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist or SAS Certified Data Scientist are common
Work EnvironmentFreelance, project-based, remote or on-site depending on client needsUsually employed full-time in organizations or research settings; some freelance roles exist but are less common
Industry UsageUsed across various industries including finance, marketing, healthcare, and e-commercePrimarily in tech, finance, healthcare, and research sectors

While both roles analyze data to extract insights, Freelance Data Analytics Engineers focus on building and maintaining data pipelines and dashboards on a project basis, whereas Data Scientists develop predictive models and advanced algorithms, often requiring deeper statistical expertise.

What are the most commonly searched types of Data Analytics Engineer jobs in Colorado? The most popular types of Data Analytics Engineer jobs in Colorado are:
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What cities in Colorado are hiring for Freelance Data Analytics Engineer jobs? Cities in Colorado with the most Freelance Data Analytics Engineer job openings:
Freelance Data Analytics Engineer jobs near you

AI Data Analytics Engineer

BillGO, Inc.

Fort Collins, CO • On-site

$113K - $135K/yr

Full-time

Posted 22 days ago

Job description

BillGO is building the next generation of payments. Our vision is to be the payment accelerator for Small Business: an intelligent network that helps businesses get paid faster, operate leaner, and grow with confidence.

We are hiring an AI Data Analytics Engineer to design, build, and ship the data, analytics, and AI capabilities that power BillGO's AI/Data Platform, from trusted data models and self-serve analytics that speed up internal decision-making to AI-native features that turn data into value for Small Businesses. This is a hands-on role that blends analytics engineering with applied AI at the center of BillGO's AI-native strategy.

You will sit within BillGO's Data Platform & Intelligence organization, partnering closely with Application Engineering, Platform Engineering, and Product to move data and AI capabilities from idea to production. Your work turns BillGO's AI Three-Level Framework, Internal Efficiency, Revenue Acceleration, and Customer Value, into shipped, reliable analytics and AI software.

WHAT YOU WILL OWN:

  • The design, build, and delivery of data models, analytics pipelines, and AI/ML features embedded in BillGO's payments products and internal tools.
  • Warehouse and semantic-layer modeling, metrics definitions, and self-serve analytics that make trusted data accessible across the business.
  • Integration of large language models, embeddings, and retrieval-augmented generation (RAG) systems that turn analytics data into intelligent experiences.
  • Data pipelines, evaluation frameworks, and monitoring that keep analytics and AI features accurate, safe, and observable in production.
  • Prompt engineering, model selection, and build-versus-buy tradeoffs balancing quality, latency, and cost.
  • Responsible and secure use of data and AI appropriate for a regulated payments environment.
  • Partnership with Application Engineering, Platform Engineering, and Data Platform & Intelligence to embed analytics and AI into existing services and APIs.

WHAT WE ARE LOOKING FOR:

  • 3-5 years of experience building and shipping production software or data products, with meaningful experience in analytics engineering and AI/ML feature development.
  • Proficiency in Python and SQL, and experience with modern data and AI/ML tooling: data warehouses (e.g., Snowflake, BigQuery, Redshift), transformation frameworks (e.g., dbt), LLM APIs, vector databases, embeddings, and orchestration frameworks such as LangChain, LangGraph, or similar.
  • Solid engineering fundamentals: data modeling, APIs, cloud platforms, CI/CD, testing, and observability.
  • Understanding of BI and analytics tooling, semantic layers, prompt engineering, RAG, model evaluation, and guardrail or safety practices.
  • Experience with data pipelines and both structured and unstructured data.
  • Fintech, payments, or regulated-industry experience is a plus but not required.
  • Strong collaboration and communication skills; comfortable working cross-functionally with product, platform, and data teams.

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