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Remote Data Pipeline Engineer Jobs in Colorado (NOW HIRING)

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 pipelines on AWS. You will work closely with technical analysts, client stakeholders, data ...

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 pipelines on AWS. You will work closely with technical analysts, client stakeholders, data ...

Data Engineer, Senior

Denver, CO · On-site +1

$60 - $70/hr

... pipelines and cloud data solutions, embedding security, automation, and reliability throughout the ... Hybrid or Remote, however must reside in the following states: WA, OH, CA, AZ, CO, CT, FL, GA, MD ...

Cloud Data Warehouse Engineer III

Denver, CO · Remote

$57.50 - $76.75/hr

As a Cloud Data Warehouse Engineer, you'll build scalable data pipelines, cloud data warehouse ... Work effectively with remote and offshore teams to deliver data platform initiatives. We are ...

AWS Data Engineer

Greenwood Village, CO · On-site +1

$115K - $139K/yr

AWS Data Engineer Location: Greenwood Village, CO Mode Of Work: 4 Days Onsite W2 Role Visa: GC, GC ... Improve and automate data pipeline monitoring * Maintain and enhance Spark and SQL-based ...

Data Engineer, Principal

Denver, CO · On-site +1

$85 - $95/hr

Hybrid or Remote, however must reside in the following states: WA, OH, CA, AZ, CO, CT, FL, GA, MD ... data pipelines supporting enterprise data lakes, data warehouses, and data marts. Engineer robust ...

None Potential for Remote Work: ORA_HYBRID Description SAIC seeks a Mission Data Engineer to join ... In this role, you will build and maintain the data pipelines, automation, and analysis tools that ...

Senior Data Engineer

Denver, CO · On-site +1

$190K - $220K/yr

The Data Engineering team builds tools and systems that make Gusto's data consistent, user-friendly ... Experience implementing CI/CD pipelines, automated testing, and data observability to ensure ...

Remote Description **SKILLBRIDGE to FULL-TIME EMPLOYMENT** Ready to shape the future of AI ... unstructured data pipelines in the world? We're building the backbone of generative AI-enabling ...

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Remote Data Pipeline Engineer information

What is the difference between Remote Data Pipeline Engineer vs Data Engineer?

AspectRemote Data Pipeline EngineerData Engineer
Required CredentialsBachelor's in CS, Data Science, or related; experience with cloud platformsBachelor's or higher in CS, Software Engineering; certifications like AWS or GCP often preferred
Work EnvironmentRemote, collaborative teams, cloud-based toolsRemote or on-site, enterprise or startup settings, cloud and on-premise infrastructure
Industry UsageTech, finance, healthcare, e-commerceSame as Remote Data Pipeline Engineer, broader focus on data infrastructure

Both roles focus on managing data workflows, but Remote Data Pipeline Engineers specialize in building and maintaining data pipelines specifically in cloud environments, often with a focus on ETL processes. Data Engineers have a broader scope, including designing data architectures and working with large-scale data systems. The roles overlap significantly, especially in skills and industry usage, but the Pipeline Engineer role emphasizes pipeline development and deployment in remote, cloud-based settings.

What are the most commonly searched types of Data Pipeline Engineer jobs in Colorado?

The most popular types of Data Pipeline Engineer jobs in Colorado are:

What job categories do people searching Remote Data Pipeline Engineer jobs in Colorado look for?

The top searched job categories for Remote Data Pipeline Engineer jobs in Colorado are:

What cities in Colorado are hiring for Remote Data Pipeline Engineer jobs?

Cities in Colorado with the most Remote Data Pipeline Engineer job openings:

AWS Data Engineer

Qode

CO • On-site, Remote

$114K - $137K/yr

Full-time

Re-posted 2 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