1

Senior Data Analytics Engineer Jobs in Colorado (NOW HIRING)

Data/Analytics Engineer Job Location: Westminster CO, or Christchurch NZ Our Department: Field Systems Data/Analytics Engineer - Customer 360 Data Pipelines About the Team: The Field Systems Data ...

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 ...

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 ...

Sr Data Developer

Denver, CO · On-site

$70 - $78/hr

Sr Data Developer - Contract - Greenwood Village, CO - $70.00 - $78.00/hr. The final salary or ... data analysis. The ideal candidate is a skilled data engineer with experience creating data ...

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 ...

Senior Data Engineer, Global

Denver, CO · On-site

$109K - $148K/yr

Vantage Data Centersis seeking a Senior Data Engineer to help evolve and scale our enterprise data ... Collaborate with business analysts, data scientists, and stakeholders across Human Resources ...

Senior Data Engineer

Denver, CO · On-site

$109K - $148K/yr

Ibotta is looking for a software-focused Senior Data Engineer to join our team and contribute to ... Experience: 5+ years of software engineering experience with a focus on data engineering, analytics ...

Sr. Data Engineer

Broomfield, CO · On-site

$106K - $144K/yr

This role will partner closely with analytics, data science, and business stakeholders to deliver ... Title: Sr. Data Engineer Salary or Pay Range: $115,000 - $125,000 Pay offered will vary based on ...

Sr. Data Engineer

Broomfield, CO

$106K - $144K/yr

This role will partner closely with analytics, data science, and business stakeholders to deliver ... Title: Sr. Data Engineer Salary or Pay Range: $115,000 - $125,000 Pay offered will vary based on ...

Senior Data Engineer

Denver, CO · On-site

$109K - $148K/yr

Ibotta is looking for a software-focused Sr. Data Engineer to join our team and contribute to our ... Experience: 5+ years of software engineering experience with a focus on data engineering, analytics ...

Senior Data Manager

Denver, CO

$69.25 - $92.75/hr

Experience with visual analytic tools like Microsoft Pivot, Palantir, or Visual Analytics ... Microsoft Azure Data Engineer Associate * Microsoft SQL Server / Azure Database certifications

Senior Data Engineer

Denver, CO · On-site

$40 - $60/hr

Strong analytical skills to interpret AWS billing and usage data. Senior Data Engineer Responsibilities: · AWS Cost Optimization & FinOps Analysis o Analyze AWS spend data to identify cost-saving ...

next page

Showing results 1-20

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 5, 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:
Infographic showing various Senior Data Analytics Engineer job openings in Colorado as of June 2026, with employment types broken down into 91% Full Time, 3% Part Time, and 6% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $132,836 per year, or $63.9 per hour.
Data/Analytics Engineer

Data/Analytics Engineer

Trimble

Westminster, CO

$122K - $168K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted yesterday


Trimble rating

7.7

Company rating: 7.7 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

59th of 141 rated electronics manufacturers


Job description

Your Title: Data/Analytics Engineer

Job Location: Westminster CO, or Christchurch NZ

Our Department: Field Systems

Data/Analytics Engineer - Customer 360 Data Pipelines

About the Team: The Field Systems Data Team at Trimble is actively building and maturing our data strategy. We are seeking a dedicated Data Engineer to join our Business Intelligence team and actively shape our data backend and infrastructure in a dynamic environment, proactively breaking down data silos.

The Role: As a Data/Analytics Engineer, you will take on central tasks in our critical data projects and in the technical communication with the data platform team. Your efforts will be crucial for building a comprehensive 360-degree customer view, managing the growing demand for insights, and enhancing the overall quality and effectiveness of our data analysis.

What You Will Do: As a Data/Analytics Engineer in this permanent role, you will join our data analytics team to drive the evolution of our data platform and execute critical data projects:

Data Architecture and Platform Evolution (Snowflake/BI tools)

  • Lead or actively participate in the migration of data storage and ETL processes to Snowflake, integrating downstream with BI tools (including Domo).

  • Design and implement scalable data schemas, audit existing data flows, and ensure the integrity of core finance, marketing, product usage, and licensing datasets for analytics and reporting.

  • Establish necessary platform structures and contribute to knowledge transfer for new data platform components and logic, enabling effective consumption in BI tools.

Data Enrichment and Insight Development

  • Spearhead data quality and completeness initiatives by designing advanced record linkage and enrichment pipelines using Python and the Splink library.

  • Ensure comprehensive documentation and proper handover of new data enrichment ecosystems and processes.

  • Maintain and optimize SQL-based data extracts crucial for key business dashboards and reporting.

Advanced Analytics

  • Implement and deploy complex classification algorithms (currently prototyped in Python) within the production data environment (Snowflake).

  • Establish automated, incremental processes for algorithm execution and integration into the existing ETL/dashboard structure.

  • Support the integration and deployment of new data visualization and tooling solutions.

Third-Party Data Integration and Operational Data Quality (Impartner)

  • Collaborate with business teams (e.g., Sales Operations) to support the integration of critical third-party systems and data sources.

  • Implement and maintain data quality feature sets, including manual data cleanup, to ensure the reliability of data used for achieving production and business targets.

What skills & experience you should bring

Along with your excellent communication skills, stakeholder engagement, and ability to work independently or as part of a team, you will also have:

  • Bachelor's or Master's degree in Data Science, Computer Science, Information Systems, or a related field.

  • Proven experience as a Data/Analytics Engineer, ideally in a growing or evolving data environment.

  • Expert knowledge in Snowflake is required.

  • Very good Python programming skills are a must.

  • Experience with ETL processes and migrating from Domo (or similar BI platforms) to modern data warehouses.

  • Strong interest and focus on data backend and infrastructure topics.

  • Ability to work in a fast-paced environment and solve problems hands-on.

  • Strong problem-solving skills and attention to detail.

  • Knowledge of data governance and data quality best practices.

Logistics

  • Location: Westminster, Colorado, or Christchurch, NZ
  • Travel Requirement: 5%

About Trimble Field Systems

Trimble Field Systems is a segment within Trimble that focuses on providing solutions for field data collection and management. This segment offers technologies and tools that enable professionals in various industries, such as construction and geospatial, to efficiently gather, process, and utilize data from the field. By leveraging GPS, laser scanning, and other advanced technologies, Trimble Field Systems helps improve accuracy, productivity, and connectivity between field operations and office workflows.

Keywords: Data Engineer, Data Analyst, Data Pipeline, Customer 360, SQL, Python, DOMO, Snowflake, Data Governance, Field Systems, Trimble

Compensation: Trimble provides the following compensation range and general description of other compensation and benefits that it in good faith believes it might pay and/or offer for this position. This compensation range is based on a full time schedule. Trimble reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant's sex or other status protected by local, state, or federal law.

Hiring Range

$122,500.00-$168,400.00

Pay Rate Type

Salary

Bonus Eligible?

Yes

Commission Eligible?

No


Benefits: Trimble offers comprehensive core benefits that include Medical, Dental, Vision, Life, Disability, Time off plans and retirement plans. Most of our businesses also offer tax savings plans for health, dependent care and commuter expenses as well as Paid Parental Leave and Employee Stock Purchase Plan. If this position is identified above as commission- or bonus-eligible, the terms of the commission plan or discretionary bonus plan for which you are eligible will be provided following the employee start date.


How to Apply: Please submit an online application for this position by clicking on the 'Apply Now' button located in this posting.


Application Deadline: Trimble accepts applications on an ongoing basis until the position is filled.

At Trimble, we are committed to fostering a diverse, inclusive, and equitable workplace where everyone can thrive. Guided by our core values-Belong, Innovate, and Grow-we embrace and celebrate differences, knowing they make us stronger and more innovative. We are proud to be an equal opportunity employer, welcoming individuals of all backgrounds and advancing opportunities while embracing race, color, gender identity, sexual orientation, religion, disability, veteran status, or any other protected and diverse characteristic. We are committed to offering our candidates and employees with disabilities or sincerely held religious beliefs the ability to seek reasonable accommodations in accordance with applicable law and/or where it would not constitute undue hardship for Trimble. For more, please see Trimble's Code of Business Conduct and Ethics at https://investor.trimble.com, under "Corporate Governance."

Our mission to transform the way the world works starts with transforming how we work together. By actively listening, asking questions, and taking intentional actions, we cultivate a culture that provides equitable opportunities for everyone to contribute and grow.

Trimble's Privacy Policy

If you need assistance or would like to request an accommodation in connection with the application process, please contact careers@trimble.com.


What Trimble employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom