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Senior Data Analytics Engineer Jobs in Colorado (NOW HIRING)

BillGO, Inc.

Data Analytics Engineer

Fort Collins, CO · On-site

$102K - $146K/yr

We are looking for an Analytics Engineer to join our growing data team and help transform payments data into reliable, scalable, and actionable insights. Sitting at the intersection of data ...

BillGO, Inc.

AI Data Analytics Engineer

Fort Collins, CO

$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 ...

K-Tek Resourcing LLC

Senior Data Engineer

Denver, CO · On-site

$45 - $48/hr

Senior Data Engineer Location: Denver, CO Employment Type: Contract Rate: $45-48/hr We are seeking ... Process and analyze large datasets using Delta Lake and distributed data platforms. * Design and ...

SumUp

Data Analytics Engineer - Boulder, Colorado

Boulder, CO · On-site

$120K - $144K/yr

They are seeking a Data Analytics Engineer to build and maintain data models, develop dashboards, and support data operations, ensuring reliable data for business insights. Responsibilities : • ...

Xcel Energy

Senior Data Product Engineer

Denver, CO · On-site

$97K - $138K/yr

Position Summary The Senior Data Product Engineer delivers and curates certified data products ... This role blends hands-on analytics engineering with an enablement focus, building data products ...

NuView Analytics

Senior Data Analyst

Denver, CO · Remote

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to ... We do this in three ways - data analytics, data diligence, and fractional data science. Our clients ...

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

Senior Data Analytics Engineer information

See Colorado salary details

$85.2K

$132.8K

$184K

How much do senior data analytics engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for senior data analytics engineer in Colorado is $132,836.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $151,400.00 per year, depending on experience, location, and employer.

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

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

How does a Senior Data Analytics Engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

What does a Senior Data Analytics Engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

What are the key skills and qualifications needed to thrive as a Senior Data Analytics Engineer, and why are they important?

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.
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:
What are popular job titles related to Senior Data Analytics Engineer jobs in Colorado? For Senior Data Analytics Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Senior Data Analytics Engineer jobs in Colorado look for? The top searched job categories for Senior Data Analytics Engineer jobs in Colorado are:
What cities in Colorado are hiring for Senior Data Analytics Engineer jobs? Cities in Colorado with the most Senior Data Analytics Engineer job openings:
Senior Data Analytics Engineer jobs near you
Infographic showing various Senior Data Analytics Engineer job openings in Colorado as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $132,836 per year, or $63.9 per hour.
Senior AI Data Analytics Engineer

Senior AI Data Analytics Engineer

BillGO, Inc.

Fort Collins, CO • On-site

$132K - $196K/yr

Full-time

Medical, Retirement

Posted 17 days ago

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.

Apply