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Etl Data Engineer Jobs in Colorado (NOW HIRING)

Pwc

Data Engineer - Manager

Denver, CO

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In data engineering at PwC, you will focus on designing and building data infrastructure and ... You can also build and enhance ETL/ELT pipelines, manage data warehouses and data lakes, and ...

eFulgent

Lead Data Engineer

Englewood, CO · On-site

$101K - $133K/yr

Job Summary (Lead Data Engineer - Englewood, CO) - Lead the design, development, and maintenance of scalable ETL pipelines using Spark to ensure data quality and availability. - Execute advanced ...

Long Finch Technologies

$107K - $129K/yr

Develop ETL/ELT solutions using AWS services. * Build and manage cloud-based data lakes and data ... Work with DevOps tools and practices including Jenkins and Maven for deployment automation.

CACI International, Inc.

Data Analyst

Colorado Springs, CO · On-site

  • Medical

  • Retirement

  • PTO

Collaborate with data engineers and database administrators to ensure data availability and accuracy. * Document data models, ETL processes, and Power BI solutions. * Experience working with data ...

Beacon Hill

Sr. Data Engineer

Greenwood Village, CO · On-site

$115K - $139K/yr

  • Medical

  • Dental

  • Vision

Advanced SQL skills (ETL) * Expertise in data engineering languages such as Scala (preferred) or Java, with proficiency in Python * Experience with BigData tools, particularly Spark, and familiarity ...

Bespoke Labs

Data Engineer

Greeley, CO · On-site

$110K - $132K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Colorado Springs, CO · On-site

$110K - $133K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

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All JobsEtl Data Engineer JobsEtl Data Engineer Jobs in Colorado

Etl Data Engineer information

See Colorado salary details

$39

$59

$80

How much do etl data engineer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for etl data engineer in Colorado is $59.04, according to ZipRecruiter salary data. Most workers in this role earn between $53.32 and $63.70 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an ETL data engineer?

To thrive as an ETL Data Engineer, you need strong proficiency in database management, data modeling, and ETL processes, typically supported by a degree in computer science or a related field. Familiarity with ETL tools like Informatica, Talend, or Apache NiFi, and experience with SQL, data warehousing, and cloud platforms are often required. Analytical thinking, attention to detail, and effective communication are crucial soft skills for troubleshooting and collaborating with stakeholders. These skills ensure efficient, accurate data integration and transformation, which are vital for supporting business intelligence and analytics.

What is the difference between Etl Data Engineer vs Data Analyst?

AspectEtl Data EngineerData Analyst
Required SkillsSQL, ETL tools, programming (Python, Java), data warehousingSQL, data visualization, statistical analysis, Excel
Work EnvironmentData pipelines, backend systems, cloud platformsReporting, dashboards, business insights
CertificationsETL tools, cloud certifications, SQL

While both roles work with data, Etl Data Engineers focus on building and maintaining data pipelines and infrastructure, whereas Data Analysts interpret data to generate insights. The roles often collaborate but have distinct technical focuses and skill sets.

What is an ETL data engineer?

An ETL Data Engineer is an information technology professional responsible for extracting data from various sources, transforming it into a usable format, and loading it into a data warehouse or other storage systems. They design, develop, and maintain ETL (Extract, Transform, Load) pipelines to ensure data is accurate, accessible, and ready for analysis. ETL Data Engineers often work with large datasets, optimize data workflows, and collaborate with data analysts and other stakeholders to support business intelligence and reporting needs.

What are some common challenges ETL data engineers face when integrating data from multiple sources?

ETL Data Engineers often encounter challenges such as handling inconsistent data formats, resolving data quality issues, and ensuring data integrity during the integration process. Working with legacy systems, cloud platforms, and various databases can require creative solutions for mapping and transforming data accurately. Additionally, optimizing ETL pipelines for performance and scalability is essential, especially as data volumes grow. Collaboration with data analysts, business stakeholders, and IT teams is key to understanding requirements and ensuring reliable data delivery.
What are popular job titles related to Etl Data Engineer jobs in Colorado? For Etl Data Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Etl Data Engineer jobs in Colorado look for? The top searched job categories for Etl Data Engineer jobs in Colorado are:
Etl Data Engineer jobs near you
Infographic showing various Etl Data Engineer job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,808 per year, or $59 per hour.

Senior Snowflake Data Engineer

2T Consulting

Superior, CO

$107K - $145K/yr

Full-time

Posted 5 days ago

Job description

We are seeking an experienced Senior Snowflake Data Engineer to design, develop, and optimize enterprise-scale data engineering solutions. The ideal candidate will have strong expertise in Snowflake, dbt, Python, ETL/ELT, and data warehousing, with experience building scalable data pipelines and modern cloud-based data platforms.

Primary Responsibilities
  • Design, develop, and maintain scalable data engineering solutions using Snowflake, dbt, and Python.
  • Build and optimize high-performance ETL/ELT pipelines and enterprise data warehouse solutions.
  • Design and implement scalable data models to support analytics and business intelligence.
  • Optimize data processing, storage, and query performance within Snowflake.
  • Leverage Cortex AI/GenAI capabilities for code generation, data validation, and pipeline optimization.
  • Collaborate with architects, business stakeholders, and cross-functional teams to deliver enterprise data solutions.
  • Lead technical design, implementation, and delivery of data engineering projects.
  • Mentor development teams and promote best practices in data engineering, CI/CD, and data governance.
  • Ensure high-quality, secure, and production-ready data solutions.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • 10+ years of experience in Data Engineering.
  • Strong hands-on experience with Snowflake, dbt, and Python.
  • Expertise in ETL/ELT pipeline development and enterprise data warehousing.
  • Strong knowledge of data modeling, data transformation, and performance optimization.
  • Experience with CI/CD pipelines, version control, and data governance best practices.
  • Exposure to Snowflake Cortex AI or Generative AI capabilities is highly preferred.
  • Excellent analytical, problem-solving, stakeholder management, and communication skills.
Preferred Qualifications
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Knowledge of orchestration tools such as Apache Airflow.
  • Experience with DevOps, automation, and Infrastructure as Code (IaC).
  • Snowflake certifications are a plus.
  • Experience working in Agile/Scrum environments.

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