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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.

Data Analytics Engineer

Fort Collins, CO

$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 ...

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 : • ...

Guild

Analytics Engineer

Denver, CO · On-site

$110K - $159K/yr

Guild is hiring an Analytics Engineer who will sit at the intersection of data, AI, infrastructure, and analytics, to help shape and deliver valuable data and business-critical reporting and insights ...

Recurly

Analytics Engineer

Broomfield, CO

$70K - $103K/yr

We're looking for a great data analyst. Not good at SQL - good at analysis. SQL is the tool ... You'll work with raw data ingested by our data engineering team, building and maintaining the ...

Prologis

Program Director, Data & Analytics

Denver, CO · On-site +1

You will connect strategy to execution across Data Engineering, Analytics Engineering, and Data Visualization, ensuring teams deliver trusted, scalable data products that enable smarter, faster ...

Guild

Analytics Engineer

Denver, CO · On-site

$110K - $159K/yr

Guild is hiring an Analytics Engineer who will sit at the intersection of data, AI, infrastructure, and analytics, to help shape and deliver valuable data and business-critical reporting and insights ...

Recurly

Analytics Engineer

Broomfield, CO · On-site

$70K - $103K/yr

We're looking for a great data analyst. Not good at SQL - good at analysis. SQL is the tool ... You'll work with raw data ingested by our data engineering team, building and maintaining the ...

InnovAge

Revenue Operations Data Analyst

Denver, CO · On-site

$103K - $165K/yr

Fabric Analytics Engineer Associate (DP-600) or equivalent experience * Microsoft Certified: Azure Data Fundamentals (DP-900) or related data/analytics certifications Other Knowledge Skills and ...

InnovAge

Revenue Operations Data Analyst

Denver, CO

Fabric Analytics Engineer Associate (DP-600) or equivalent experience * Microsoft Certified: Azure Data Fundamentals (DP-900) or related data/analytics certifications Other Knowledge Skills and ...

InnovAge

Revenue Operations Data Analyst

Denver, CO · On-site +1

$103K - $130K/yr

Fabric Analytics Engineer Associate (DP-600) or equivalent experience * Microsoft Certified: Azure Data Fundamentals (DP-900) or related data/analytics certifications Other Knowledge Skills and ...

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All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Colorado

Data Analytics Engineer information

See Colorado salary details

$46.8K

$136.4K

$186.6K

How much do data analytics engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for data analytics engineer in Colorado is $136,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,400.00 and $144,600.00 per year, depending on experience, location, and employer.

How do Data Analytics Engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

Can a data engineer make 200k?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and those in high-demand markets more likely to reach or exceed this level.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, machine learning, and proficiency with tools like Python, SQL, and cloud platforms can reach salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes equity compensation.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

Is 40 too late for data science?

Data Analytics Engineers and data science professionals can successfully transition into the field at age 40 or older, as skills such as programming, statistical analysis, and experience with tools like Python or SQL are valuable regardless of age. Many employers value diverse experience and lifelong learning, and certifications or online courses can help enhance credentials at any age.

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

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and systems to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to deliver actionable insights.
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 Data Analytics Engineer jobs in Colorado? For Data Analytics Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Analytics Engineer jobs in Colorado look for? The top searched job categories for Data Analytics Engineer jobs in Colorado are:
What cities in Colorado are hiring for Data Analytics Engineer jobs? Cities in Colorado with the most Data Analytics Engineer job openings:
Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Colorado as of July 2026, with employment types broken down into 1% Internship, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $136,399 per year, or $65.6 per hour.
Data Analytics Engineer

Data Analytics Engineer

BillGO, Inc.

Fort Collins, CO • On-site

$102K - $146K/yr

Full-time

Medical, Retirement

Re-posted yesterday

Job description

BillGO is building the next generation of payment and money movement infrastructure for small businesses. Data products and insights are core to how we scale reliability, reduce operational friction, and deliver better outcomes across payments, risk, and support.
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 engineering, analytics, and business, you will build clean data models, define key metrics, and enable stakeholders across product, finance, risk, and operations to make data-driven decisions.
This role is ideal for someone who understands the complexity of payments ecosystems (transactions, settlements, fraud, reconciliation) and enjoys turning messy data into trusted, well-documented datasets.
Why This Role Matters
This role matters because it transforms complex, fragmented payments data into a trusted foundation for decision-making across the business. As an Analytics Engineer, you enable teams to operate with clarity and confidence by building reliable data models, defining consistent metrics, and ensuring data integrity in a highly intricate financial ecosystem. In a space where accuracy, speed, and compliance are critical, your work directly impacts everything from revenue visibility and reconciliation to fraud detection and operational efficiency. By bridging the gap between raw data and business insight, this role not only improves day-to-day performance but also helps scale the company's data infrastructure, empowering smarter decisions and driving long-term growth in a rapidly evolving fintech landscape.
What You'll Do
  • Design, build, and maintain scalable data models for customers, payments, transactions, settlements, and financial reporting
  • Transform raw data into clean, reliable datasets and data models.
    • +Using tools like Claude, Coalesce, and Tableau
    • Using data warehouses like Snowflake, AWS RDS, AWS DynamoDB
    • Also incorporating other data sources from AWS S3, like csv, Json, and parquet files.
  • Develop data dictionaries, semantic layers, and data catalogs
  • Partner with Product, Finance, Risk, and Operations teams to define key metrics and enable insights and dashboards for decision-making and predictions.
  • Ensure data quality and integrity through testing, monitoring, and documentation
  • Optimize data pipelines for performance and cost efficiency
  • Translate business requirements into data solutions that scale with company growth
  • Support regulatory and financial reporting needs (e.g., reconciliation, audit readiness)
  • Contribute to data governance, definitions, and metric standardization

What You Bring
  • 3+ years of experience in an analytics engineering, data analytics, or data engineering role
  • Strong SQL skills, data analytics skills, ability to interrogate data and derive impactful insights.
  • Experience with Coalesce or similar transformation frameworks
  • Experience with data warehousing (Snowflake)
  • Experience modeling complex datasets (fact/dimension modeling, star schemas)
  • Experience building metrics layers or semantic models
  • Understanding of ELT pipelines and data orchestration tools
  • Experience with Python for data processing
  • Experience with version control using Github and Github actions
  • Ability to translate ambiguous business questions into structured data models
  • Strong attention to detail and data accuracy
  • Experience working with cross-functional stakeholders

Preferred Qualifications
  • Data Science and Machine Learning hands-on experience.
  • Familiarity with event-driven architectures or streaming data
  • Experience working with payments data
  • Familiarity with concepts like:
  • Authorization & settlement flows
  • Interchange & fees
  • Chargebacks & disputes
  • Fraud detection signals
  • Ledgering and reconciliation
  • Exposure to compliance or financial reporting requirements

Compensation
We offer a competitive compensation package, including:
  • Base salary ($102,000-$146,900)
  • 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