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Senior Data Analytics Engineer Jobs in Colorado (NOW HIRING)

Windfall

Senior Data Engineer

Denver, CO

$170K - $220K/yr

As a Sr. Data Engineer on our data team, you will be building out the core data asset that ... analyzing resumes. These tools assist our team and do not replace human judgment. Final hiring ...

Summit Utilities Inc

Analytics Engineer II

Denver, CO · On-site

  • Medical

  • Dental

  • Vision

Partner with Data Engineers on pipeline requirements and collaborate on shared standards for ... Mentor Analytics Engineer I peers through pair-programming, code review, and knowledge sharing.

Stantec

Senior Data Architect

Denver, CO · On-site

$134K - $201K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Data Architect We are seeking a Senior Data Architect to join a project team that will be ... developers, Business Analysts, and Project Management - to plan and execute PM2PA data-related ...

Stantec

Senior Data Architect

Denver, CO · On-site

$69.25 - $92.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Data Architect We are seeking a Senior Data Architect to join a project team that will be ... developers, Business Analysts, and Project Management - to plan and execute PM2PA data-related ...

Pearson

Data Engineer III

Denver, CO · On-site

$117K - $141K/yr

Ideal Candidate Profile A senior-level Data Engineer with strong expertise in GCP, BigQuery, dbt, Python, and analytics engineering who can independently own the end-to-end delivery of enterprise ...

Pearson

Data Engineer III

Denver, CO · On-site

$117K - $141K/yr

Ideal Candidate Profile A senior-level Data Engineer with strong expertise in Google Cloud Platform, BigQuery, dbt, Python, and analytics engineering who can independently own the end-to-end delivery ...

Pearson

Data Engineer III

Denver, CO · On-site

$117K - $141K/yr

Ideal Candidate Profile A senior-level Data Engineer with strong expertise in Google Cloud Platform, BigQuery, dbt, Python, and analytics engineering who can independently own the end-to-end delivery ...

Pearson Education

Data Engineer III

Denver, CO · On-site

$117K - $141K/yr

Ideal Candidate Profile A senior-level Data Engineer with strong expertise in GCP, BigQuery, dbt, Python, and analytics engineering who can independently own the end-to-end delivery of enterprise ...

Stantec

Senior Data Architect

Denver, CO · On-site

$69.25 - $92.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Data Architect We are seeking a Senior Data Architect to join a project team that will be ... developers, Business Analysts, and Project Management - to plan and execute PM2PA data-related ...

Pearson

Data Engineer III

Denver, CO · On-site +1

$117K - $141K/yr

Ideal Candidate Profile A senior-level Data Engineer with strong expertise in GCP, BigQuery, dbt, Python, and analytics engineering who can independently own the end-to-end delivery of enterprise ...

NuView

Senior Data Analyst

Denver, CO · On-site +1

$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 ...

GliaCell Technologies

Senior Data Scientist

Aurora, CO · On-site

$115K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Are you a Senior Data Scientist who is ready for a new challenge that will launch your career to ... Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide ...

Walmart

(USA) Senior, Data Engineer

Denver, CO · On-site

$109K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Leveraging advanced programming and analytical skills, you will drive innovation in data processing ... The Senior Data Engineer will be responsible for not only understanding data pipelines but, event ...

Vizio

(USA) Senior, Data Engineer

Denver, CO · On-site

$99K - $198K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Leveraging advanced programming and analytical skills, you will drive innovation in data processing ... The Senior Data Engineer will be responsible for not only understanding data pipelines but, event ...

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Showing results 41-60

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 Aug 17, 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 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.

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 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 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.

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 August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $132,836 per year, or $63.9 per hour.

Senior Data Engineer

Windfall

Denver, CO

$170K - $220K/yr

Full-time

Re-posted 16 days ago

Job description

Windfall is seeking a Sr. Data Engineer to join our data team. As a Sr. Data Engineer on our data team, you will be building out the core data asset that everything else at Windfall is built on top of. Communication and collaboration are at the heart of Windfall, and you will work closely with our product, data science, and other engineering teams. You will personally design and build the pipelines for massive datasets, taking them all the way from inception to exploration to production and customer use.
 
We’re on a mission to change how organizations perceive and use people data. And we hold true to our core values of: (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Win When Our Customers Win; and (5) Act with integrity and trust.
Responsibilities:
  • Construct data pipelines to ingest and merge billions of individual entities into Windfall’s core data asset
  • Work closely with our data science team to run ML models on top of billions of data points
  • Build supporting data services and applications to orchestrate and monitor our data systems
Some technology you will use:
  • Cloud platform - GCP
  • Programming languages - Java, Python, and Kotlin
  • Data warehouse & databases - BigQuery, Postgres, Scylla/Cassandra
  • Distributed processing frameworks - Dataflow (Apache Beam) and Apache Spark
  • Orchestration - Airflow
Requirements:
  • 4-8 years of professional data engineering experience
  • Significant experience working with Apache Beam/Spark/Flink or MapReduce
  • Strong Object-oriented programming ability in a JVM language
  • Expert knowledge of distributed data processing
  • Familiarity with different datastores, their differences, and appropriate usages
  • Experience at a sub-200 person company
  • You communicate as well as you code
  • You can simplify complex problems into simple solutions
  • You balance a strong sense of ownership and responsibility in your work with collaboration and team alignment
  • You are comfortable making trade-offs between quality, complexity, and speed-of-delivery
Preferred Qualifications:
  • Proven experience taking a large project from ideation to production
  • Experience leading greenfield projects
  • Working knowledge of cloud-native data engineering infrastructure
About Windfall
Windfall is a people intelligence and AI company that gives go-to-market teams actionable insights. By democratizing access to people data, organizations can intelligently prioritize go-to-market resources to drive greater business outcomes. Powered by best-in-class machine learning and artificial intelligence, Windfall activates insights into workflows that engage the right people for each respective organization. More than 1,500 data-driven organizations use Windfall to power their business. For more information, please visit www.windfall.com.
 
We comply with CCPA. For more information on how we comply, review our privacy notice.
 
Windfall is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. 
 
We may use AI tools to assist parts of the hiring process, such as reviewing applications or analyzing resumes. These tools assist our team and do not replace human judgment. Final hiring decisions are made by people.