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Data Analytics Engineer Jobs in Denver, CO (NOW HIRING)

Infrastructure Data Analytics Engineer

Denver, CO

$117K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating, and analyzing data from infrastructure, platform, cloud, and enterprise technology systems. This ...

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.

Analytics Engineer, Product Analytics

Denver, CO · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Data is considered a strategic asset here at Ibotta. In this role, you'll have a direct impact by making data available and reliable for Decision Scientists and Data Scientists to provide advanced ...

Senior Cell Modeling & Analytics Engineer

Broomfield, CO · On-site

$105K - $144K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Cell Engineering Reports To: Cell Applications Engineering Manager Position Type: Full-Time About ... Analyze large sets of battery performance data to identify trends, anomalies, and optimization ...

Principal Analytics Engineer

Denver, CO · Remote

$165K - $240K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data Product Ownership: Design, build, and evolve high-scale dbt models that transform raw upstream inputs into clean, well-documented, analytics-ready data products with clear contracts and ...

Senior Analytics Engineer

Englewood, CO

$103K - $141K/yr

Our Data team owns the platform and analytics that power Fiona and the decisions made across ... Where our Data Engineers own ingestion and the Bronze layer, you own the path from modeled data to ...

Forward Deployed Data Engineer

Golden, CO · On-site

$118K - $142K/yr

Identify high-value opportunities for data, analytics, AI, or workflow enablement by partnering with plant leaders, engineers, quality, supply chain, maintenance, finance, and business leaders.

Forward Deployed Data Engineer

Golden, CO

$118K - $142K/yr

Identify high-value opportunities for data, analytics, AI, or workflow enablement by partnering with plant leaders, engineers, quality, supply chain, maintenance, finance, and business leaders.

Technical Architect - Data, Analytics & AI

Boulder, CO · Hybrid

$67 - $86.25/hr

  • Medical

  • Life

  • Retirement

  • PTO

Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ... Enterprise data management, analytics, and AI technology landscape * Strong problemsolving skills ...

Technical Architect - Data, Analytics & AI

Arvada, CO · Hybrid

$65.25 - $84/hr

  • Medical

  • Life

  • Retirement

  • PTO

Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ... Enterprise data management, analytics, and AI technology landscape * Strong problemsolving skills ...

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Showing results 1-20

Data Analytics Engineer information

See Denver, CO salary details

$45.8K

$133.5K

$182.7K

How much do data analytics engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data analytics engineer in Denver, CO is $133,514.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,900.00 and $141,500.00 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.

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.

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 are the most commonly searched types of Data Analytics Engineer jobs in Denver, CO?

The most popular types of Data Analytics Engineer jobs in Denver, CO are:

What are popular job titles related to Data Analytics Engineer jobs in Denver, CO?

For Data Analytics Engineer jobs in Denver, CO, the most frequently searched job titles are:

What job categories do people searching Data Analytics Engineer jobs in Denver, CO look for?

The top searched job categories for Data Analytics Engineer jobs in Denver, CO are:

What cities near Denver, CO are hiring for Data Analytics Engineer jobs?

Cities near Denver, CO with the most Data Analytics Engineer job openings:

Infographic showing various Data Analytics Engineer job openings in Denver, CO as of August 2026, with employment types broken down into 100% Full Time. Highlights an 64% In-person, and 36% Remote job distribution, with an average salary of $133,514 per year, or $64.2 per hour.

Infrastructure Data Analytics Engineer

US Bank

Denver, CO

$117K - $141K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


U.S. Bank rating

8.2

Company rating: 8.2 out of 10

Based on 360 frontline employees who took The Breakroom Quiz

51st of 171 rated banks


Job description

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.

Job Description

The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating, and analyzing data from infrastructure, platform, cloud, and enterprise technology systems. This role combines data engineering, analytics, automation, and operational intelligence to provide actionable insights that support technology strategy, operational excellence, risk management, and executive decision making.

The ideal candidate possesses strong technical skills in SQL, Python, Alteryx, API integration, and data transformation while adhering to software development lifecycle (SDLC) practices, including source code management, testing, deployment, and release management.

Key Responsibilities

Data Acquisition & Integration

  • Design and develop data ingestion processes from multiple sources, including:

    • Infrastructure monitoring platforms

    • CMDB and asset management systems

    • Cloud platforms (Azure, AWS)

    • Enterprise databases

    • REST and GraphQL APIs

    • SaaS and third-party technology platforms

  • Build and maintain scalable ETL/ELT pipelines to acquire, cleanse, transform, validate, and enrich data.

  • Integrate structured and unstructured data from disparate technology systems into centralized analytics platforms.

  • Automate recurring data collection and processing activities.

Data Engineering & Transformation

  • Develop complex SQL queries, stored procedures, views, and data models.

  • Create Python-based solutions for:

    • Data extraction

    • Data transformation

    • Data quality validation

    • Automation workflows

    • API integrations

  • Design and maintain Alteryx workflows for data preparation, blending, and analytics automation.

  • Implement reusable transformation frameworks and standardized data processing patterns.

  • Perform data reconciliation and data quality assurance activities.

Analytics & Reporting

  • Analyze infrastructure and operational data to identify:

    • Trends

    • Risks

    • Performance issues

    • Capacity constraints

    • Optimization opportunities

  • Support executive reporting, operational scorecards, and KPI dashboards.

  • Translate technical findings into business-friendly recommendations and insights.

  • Partner with infrastructure, engineering, operations, and leadership teams to support data-driven decision making.

Automation & API Development

  • Develop API integrations between internal and external platforms.

  • Build automated workflows that reduce manual effort and improve data timeliness.

  • Support near real-time and batch data processing requirements.

  • Create reusable libraries and utilities that accelerate analytics delivery.

SDLC, DevOps & Release Management

  • Follow established Software Development Lifecycle (SDLC) methodologies including Agile delivery practices.

  • Maintain source code in approved repositories (GitHub, GitLab, Azure DevOps, etc.).

  • Utilize branching, pull request, peer review, and merging standards.

  • Develop and maintain CI/CD deployment pipelines.

  • Create and maintain technical documentation, runbooks, and deployment procedures.

  • Participate in release planning, change management, testing, and production deployments.

  • Ensure appropriate version control, auditability, and governance of analytics assets and code.

  • Support incident management and post-release validation activities.

Governance & Compliance

  • Ensure adherence to enterprise data governance, security, and compliance requirements.

  • Maintain data lineage and metadata documentation.

  • Implement controls for data quality, access management, and operational resiliency.

  • Support regulatory and audit requests related to analytics solutions.

Basic Qualifications

  • Bachelor's degree in a related field, or equivalent work experience

  • Five to seven years of statistical and/or data analytics experience

Preferred Qualifications

  • Experience analyzing infrastructure, cloud, or operational technology data.

  • Experience with Power BI, Tableau, or similar visualization platforms.

  • Experience with Azure, AWS, Databricks, Snowflake, or enterprise data platforms.

  • Knowledge of Infrastructure Observability and Monitoring platforms (Datadog, Splunk, Dynatrace, ServiceNow, etc.).

  • Experience with CI/CD tools and release automation.

  • Understanding of data governance, metadata management, and data quality frameworks.

  • Experience supporting enterprise-scale transformation or modernization programs.

Technical Skills

Programming & Analytics

  • SQL (Advanced)

  • Python

  • Alteryx

  • Power BI

  • Excel

Data & Integration

  • REST APIs

  • JSON / XML

  • ETL / ELT

  • Data Modeling

  • Data Quality Management

DevOps & SDLC

  • GitHub / GitLab / Azure DevOps

  • Version Control

  • CI/CD Pipelines

  • Release Management

  • Test Automation

  • Agile & Scrum Methodologies

Infrastructure Knowledge (Preferred)

  • Azure

  • AWS

  • Windows Server

  • Linux

  • Networking Fundamentals

  • CMDB / Asset Management

  • Infrastructure Monitoring Platforms

This position is not eligible for visa sponsorship

Location expectations
This role requires working from a U.S. Bank location three (3) or more days per week.

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to ourdisability accommodations for applicants.

Benefits:

Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

  • Healthcare (medical, dental, vision)

  • Basic term and optional term life insurance

  • Short-term and long-term disability

  • Pregnancy disability and parental leave

  • 401(k) and employer-funded retirement plan

  • Paid vacation (from two to five weeks depending on salary grade and tenure)

  • Up to 11 paid holiday opportunities

  • Adoption assistance

  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about theE-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $105,400.00 - $124,000.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.


What U.S. Bank employees say

Pay

Benefits

Hours and flexibility

Workplace

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U.S. Bank logo

About U.S. Bank

Sourced by ZipRecruiter

U.S. Bank is a reputable and established financial institution that plays a significant role in the banking sector. With a history spanning over 150 years, U.S. Bank has built a strong foundation of trust and reliability. As a comprehensive bank, they offer a wide array of financial products and services to cater to the diverse needs of their customers, including individuals, businesses, and communities. Customer satisfaction is of utmost importance to U.S. Bank. They prioritize delivering exceptional service and fostering long-term relationships with their clients. Through their extensive network of branches and advanced digital banking platforms, U.S. Bank ensures convenient access to their services, empowering customers to manage their finances efficiently and securely.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1863

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