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Etl Data Engineer Jobs in Colorado (NOW HIRING)

Bespoke Labs

Data Engineer

Fort Collins, CO · On-site

$114K - $137K/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

Thornton, CO · On-site

$115K - $138K/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

Aurora, CO · On-site

$116K - $139K/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 ...

CA-One Tech Cloud Inc.

Data Engineer - & GC

Denver, CO · On-site

$117K - $141K/yr

Role: Data Engineer Location: Denver, CO - 4 days per week work from Client office Please find ... Design, develop, and maintain scalable ETL/ELT data pipelines using Apache Spark and SQL * Build ...

Redwood Trust Inc

Senior Data Engineer

Englewood, CO · On-site

$135K - $165K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Data Engineering & Process Development * Lead the design, development, and support of robust ETL ... Troubleshoot and tune database and ETL performance, identify bottlenecks, and implement ...

Qode

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

Job Brief As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data ... Optimize ETL processes, ensuring efficient data transformation. • Migrate workflows from on ...

Qode

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

... ETL processes, ensuring efficient data transformation. • Migrate workflows from on-premise to AWS cloud, ensuring data quality and consistency. • Design automations and integrations to resolve ...

ClifyX

Azure Data Engineer Databricks

Denver, CO · On-site

$117K - $141K/yr

ClifyX is a company seeking an Azure Data Engineer with expertise in Databricks ... The role involves designing, building, and orchestrating ETL/ELT pipelines, ensuring data quality ...

Fluid Consulting Services

DATA ENGINEER

Boulder, CO · Remote

$130K/yr

Replace outdated ETL/ELT processes with modern solutions * Set up monitoring, alerting, and ... data engineering * Strong SQL skills with BigQuery, Snowflake, or Redshift * Hands-on work with ...

Fluid Consulting Services

DATA ENGINEER

Boulder, CO · Remote

$130K/yr

Replace outdated ETL/ELT processes with modern solutions * Set up monitoring, alerting, and ... data engineering * Strong SQL skills with BigQuery, Snowflake, or Redshift * Hands-on work with ...

Cymertek

Data Warehouse Engineer

Aurora, CO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Lorven technologies

Data Ops Informatica

Denver, CO · On-site

$70 - $80/hr

Support business processes of data governance and management Data Engineering & Transformation * Pipeline Architecture and Metadata Ingestion: Develop robust ETL/ELT pipelines to ingest data from ...

nLeague

Data Analyst

Denver, CO · On-site

IMS is seeking a mid-level Informatica ETL Developer / Administrator to support the migration of ETL workflows from Informatica PowerCenter to Informatica Intelligent Data Management Cloud (IDMC)

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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 13, 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.

Data Engineer

Bespoke Labs

Fort Collins, CO • On-site

$114K - $137K/yr

Full-time

Re-posted 26 days ago

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

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)

Familiarity with at least one RL framework (Gymnasium / OpenAI Gym, dm_env, or equivalent) and working knowledge of RL environment structure — observation/action spaces, reward signals, episode logic

Experience with data versioning and experiment tracking (DVC, MLflow, W&B, or similar)

Comfortable with Docker and cloud infrastructure (AWS or GCP)

Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

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