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Remote Etl Jobs in Colorado (NOW HIRING)

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

Responsibilities • Lead and support the delivery of data platform modernization projects. • Design and develop robust and scalable data pipelines leveraging AWS native services. • Optimize ETL ...

This position is available as a hybrid or fully remote work schedule. Responsibilities: Solution ... Establish integration patterns (REST/GraphQL APIs, event-driven messaging, ETL/ELT), data contracts ...

Cloud Engineer III

Denver, CO · Remote

$57.50 - $76.75/hr

Develop ELT/ETL workflows using AWS services, dbt, SQL, and Python. * Integrate data from ... Work effectively with remote and offshore teams to deliver data platform initiatives. We are ...

Sr. Database Administrator

Centennial, CO · On-site +1

$120K - $145K/yr

San Diego, CA Irvine, CA Los Angeles, CA Centennial, CO Las Vegas, NV Remote or Hybrid is not ... Support ETL/ELT workflows and data transformations * Optimize data processing for performance and ...

Senior Data Analytics Engineer

Boulder, CO · On-site +1

$109K - $149K/yr

Develop and maintain robust and scalable data pipelines to extract, transform, and load (ETL) data from various sources into our data warehouse. * Design, build, and optimize data models to support ...

Senior Solution Architect

Denver, CO · On-site +1

$178K - $268K/yr

Knowledge of Matillion's Data Productivity Cloud or Matillion ETL platforms as well as competitive ETL solutions * Experience with value-based sales motion, especially through MEDDPPICC and Command ...

Senior Data Engineer

Boulder, CO · On-site +1

$109K - $149K/yr

Participate in the design, development, and maintenance of data pipelines using ETL/ELT processes to ingest, transform, and load data from various sources into the data warehouse. * Implement and ...

Experience designing data pipelines (ETL) and model data. * Practical experience with AI/ML models ... Remote work model #LI-REMOTE * Competitive benefits package and competitive total compensation * An ...

AWS Data Engineer

Greenwood Village, CO · On-site +1

$115K - $139K/yr

Monitor and ensure reliability and accuracy of ETL processes * Improve and automate data pipeline monitoring * Maintain and enhance Spark and SQL-based transformations * Design and implement new data ...

This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR ... ETL/ELT development, and data transformation at scale. 7. Experience with Snowflake Cortex for ...

QA Engineer

Westminster, CO · On-site +1

$75K - $80K/yr

This full-time, salaried position US-based remote role. Moore is a data-driven constituent ... Experience testing data pipelines, ETL/ELT processes, analytics models, dashboards, or reporting ...

This full-time, salaried position US-based remote role. Moore is a data-driven constituent ... Experience testing data pipelines, ETL/ELT processes, analytics models, dashboards, or reporting ...

... ETL pipeline that bridges the gap from on-premise Operational Technology (OT) and Industrial ... Remote: Quarterly travel to hub locations for team syncs and alignment. Our Performance Culture We ...

Data Engineer, Principal

Denver, CO · On-site +1

$170K - $190K/yr

Hybrid or Remote, however must reside in the following states: WA, OH, CA, AZ, CO, CT, FL, GA, MD ... Engineer robust ELT/ETL solutions that ingest, process, and curate structured and semi-structured ...

Experience designing data ingestion or ETL-style pipelines * Understanding of RESTful services and data formats such as JSON and XML * Familiarity with Docker, CI/CD pipelines, and cloud-based ...

Showing results 21-40

Remote Etl information

See Colorado salary details

$33

$60

$85

How much do remote etl jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for remote etl in Colorado is $60.33, according to ZipRecruiter salary data. Most workers in this role earn between $51.59 and $67.50 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote ETL developer?

To thrive as a Remote ETL Developer, you need expertise in data integration, database management, and strong SQL skills, typically supported by a degree in computer science or a related field. Familiarity with ETL tools such as Informatica, Talend, or SSIS and experience with cloud platforms like AWS or Azure are commonly required. Strong problem-solving abilities, self-motivation, and effective communication are crucial soft skills for remote collaboration and troubleshooting. These skills and qualities are essential for delivering reliable data pipelines and ensuring seamless, efficient data workflows in distributed environments.

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

AspectRemote EtlRemote Data Analyst
Required CredentialsETL certifications, SQL, data warehousing knowledgeData analysis certifications, SQL, Excel skills
Work EnvironmentData integration, backend systems, scriptingData interpretation, reporting, visualization
Employer & Industry UsageTech, finance, healthcare with data pipelinesBusiness, marketing, finance for insights

Remote ETL specialists focus on designing and maintaining data pipelines, requiring technical skills like SQL and data warehousing. Remote Data Analysts interpret data, create reports, and visualize insights. While both roles work remotely and require SQL, ETL roles are more technical and backend-focused, whereas Data Analysts are more analytical and client-facing. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What are some common challenges faced by remote ETL professionals, and how can they be overcome?

Remote ETL professionals often face challenges such as coordinating with distributed teams, managing data security, and troubleshooting issues without on-site access. Effective communication tools and regular check-ins can help bridge gaps with team members. To address data security, following best practices for remote access and adhering to company protocols is essential. Additionally, strong documentation and proactive monitoring can make troubleshooting and collaboration more efficient in a remote environment.

What is a remote ETL?

Remote ETL jobs involve working with Extract, Transform, Load (ETL) processes from a remote location, often from home. ETL professionals are responsible for extracting data from various sources, transforming it into a suitable format, and loading it into data warehouses or databases. These roles require skills in data integration tools, programming languages like SQL or Python, and sometimes experience with cloud platforms. Remote ETL jobs allow professionals to collaborate with teams and manage data pipelines without being physically present in an office.
What are the most commonly searched types of Etl jobs in Colorado? The most popular types of Etl jobs in Colorado are:
What are popular job titles related to Remote Etl jobs in Colorado? For Remote Etl jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Etl jobs in Colorado look for? The top searched job categories for Remote Etl jobs in Colorado are:
Infographic showing various Remote Etl job openings in Colorado as of August 2026, with employment types broken down into 81% Full Time, 1% Part Time, and 18% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $125,494 per year, or $60.3 per hour.

AWS Data Engineer

Qode

CO • On-site, Remote

$114K - $137K/yr

Full-time

Re-posted 11 days ago


Job description

Job Brief
As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work closely with technical analysts, client stakeholders, data scientists, and other team members to ensure data quality and integrity while optimizing data storage solutions for performance and cost-efficiency. This role requires leveraging AWS native technologies and Databricks for data transformations and scalable data processing.
Responsibilities
• Lead and support the delivery of data platform modernization projects.
• Design and develop robust and scalable data pipelines leveraging AWS native services.
• Optimize 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 data inconsistencies and quality issues
• Perform system testing and validation to ensure successful integration and functionality.
• Implement security and compliance controls in the cloud environment.
• Ensure data quality pre- and post-migration through validation checks and addressing issues regarding completeness, consistency, and accuracy of data sets.
• Collaborate with data architects and lead developers to identify and document manual data movement workflows and design automation strategies.
Skills and Requirements
• 10+ years' experience with a core data engineering skillset leveraging AWS native technologies (AWS Glue, Python, Snowflake, S3, Redshift).
• Experience in the design and development of robust and scalable data pipelines leveraging AWS native services.
• Proficiency in leveraging Snowflake for data transformations, optimization of ETL pipelines, and scalable data processing.
• Experience with streaming and batch data pipeline/engineering architectures.
• Familiarity with DataOps concepts and tooling for source control and setting up CI/CD pipelines on AWS.
• Hands-on experience with Databricks and a willingness to grow capabilities.
• Experience with data engineering and storage solutions (AWS Glue, EMR, Lambda, Redshift, S3).
• Strong problem-solving and analytical skills.
• Knowledge of Dataiku is needed
• Graduate/Post-Graduate degree in Computer Science or a related field.
• AWS S3 (data storage, export, recall)
• Athena (querying data lakes)
• Data pipelines (batch & near-real-time)
• Integration with external systems (FHIR)
• Secure data handling (KMS, Macie)
• Cloud-native analytics
• Multi-account, multi-region data architecture
• BI integrations: Power BI, Tableau, QuickSight