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Data Analytics Engineer Jobs in Colorado (NOW HIRING)

Leidos

Data Engineer

Colorado Springs, CO · On-site

$107K - $195K/yr

Analyze existing data infrastructure, landscape, and security posture to create a data strategy ... engineering or data platform development * Deep production level expertise with cloud data ...

Leidos

Data Engineer

Colorado Springs, CO

$107K - $195K/yr

Analyze existing data infrastructure, landscape, and security posture to create a data strategy ... engineering or data platform development * Deep production level expertise with cloud data ...

Pwc

Data Engineer - Senior Associate

Denver, CO · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Apogee Engineering, LLC

Data Scientist

Colorado Springs, CO · On-site

$155K - $190K/yr

The Data Scientist partners with analysts and technical stakeholders to identify high-value analytic problems, engineer and curate datasets, and develop reproducible pipelines and models to automate ...

Ibotta, Inc

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Experience: 3+ years of software engineering experience with a focus on data engineering, analytics ... engineering, or backend development. * Data Engineering Fundamentals: Proficiency in Python and SQL ...

Ibotta

Data Engineer

Denver, CO

$117K - $141K/yr

Experience: 3+ years of software engineering experience with a focus on data engineering, analytics ... engineering, or backend development. * Data Engineering Fundamentals: Proficiency in Python and SQL ...

Apogee Engineering, LLC

Data Scientist

Colorado Springs, CO · On-site

$155K - $190K/yr

The Data Scientist partners with analysts and technical stakeholders to identify high-value analytic problems, engineer and curate datasets, and develop reproducible pipelines and models to automate ...

Pwc

Data Engineer - Senior Manager

Denver, CO

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Pwc

Data Engineer - Manager

Denver, CO · On-site

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Cymertek

Data Warehouse Engineer

Aurora, CO · On-site

Data Warehouse Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this ... analytics and reporting. You will be responsible for implementing ETL processes, maintaining data ...

Leidos

Data Engineer

Colorado Springs, CO · On-site

$107K - $195K/yr

Analyze existing data infrastructure, landscape, and security posture to create a data strategy ... engineering or data platform development * Deep production level expertise with cloud data ...

Leidos

Data Engineer

Aurora, CO · On-site

$107K - $195K/yr

Analyze existing data infrastructure, landscape, and security posture to create a data strategy ... engineering or data platform development * Deep production level expertise with cloud data ...

Leidos

Data Engineer

Denver, CO · On-site

$107K - $195K/yr

Analyze existing data infrastructure, landscape, and security posture to create a data strategy ... engineering or data platform development * Deep production level expertise with cloud data ...

Cymertek

Big Data Engineer

Aurora, CO · On-site

$56.75 - $75.25/hr

Big Data Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position ... and analytics needs. You will work closely with cross-functional teams to handle large-scale ...

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Showing results 1-20

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 Engineer

Data Engineer

Leidos

Colorado Springs, CO • On-site

$107K - $195K/yr

Full-time

Posted 6 days ago

Leidos rating

8.4

Company rating: 8.4 out of 10

Based on 149 frontline employees who took The Breakroom Quiz

56th of 451 rated business services

Job description

General program information and/or position overview.
Leidos is seeking a highly qualified candidate for the Data Engineer role to support the United States Space Force (USSF) in the design, development, test, and deployment of defensive cyber capabilities. A successful candidate should have a deep understanding of defensive cyber technologies and policy, the relevant stakeholders and their equities, and be a leader and problem solver with a proven ability to deliver superior results as part of a high performing team in a fast-paced environment.
Primary Responsibilities
  • Analyze existing data infrastructure, landscape, and security posture to create a data strategy roadmap
  • Build an action plan in a Microsoft tool that is executable by the US Space Force
  • Build and maintain an action plan for data collection, storage, and analysis
  • Ensure cross-functional collaboration by partnering with the Data Strategist to support data infrastructure and mission needs

Basic Qualifications
  • Requires BS and 8+ years of prior relevant experience or Masters with 6 - 10 years of prior relevant experience, additional years of experience will be accepted in lieu of a degree
  • Understanding of Data Security and access controls in accordance with the DoD and Air Force Data Strategy policies and procedures
  • Has designed and maintained data architecture, models, schemas and data warehouses
  • Strong proficiency in Microsoft Excel, PowerPoint, PowerBI, with experience creating executive-level operational reports and briefings
  • Strong analytical, problem-solving, and organizational skills
  • Excellent written and verbal communication skills with the ability to interact effectively with senior leaders
  • Strong attention to detail and ability to work "in the weeds" with data
  • Understanding of organizational data governance
  • Understanding of the DoD and Air Force Data Strategy policies and procedures
  • General understanding of data analytics
  • Strong understanding of data lifecycle and layers required to process data from ingestion to visualization
  • Experience with data visualization tools such as Grafana, Apache Superset, Tableau, and Power BI
  • U.S. Citizen

Preferred Qualifications
  • Current/active DoD Secret Clearance
  • Advanced technical expertise with demonstrated architectural decision making and project leadership
  • 5 to 7+ years of progressive experience in data engineering, analytics engineering or data platform development
  • Deep production level expertise with cloud data platforms and warehouses like snowflake, AWS, Google Cloud Platform (GCP) and Microsoft Azure
  • Relevant cloud platform and data ecosystem certifications

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
July 10, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $107,900.00 - $195,050.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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