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Remote Aws Python Developer Jobs in Colorado (NOW HIRING)

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

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 ...

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

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 ...

DevOps Engineer

Denver, CO · Remote

$54.25 - $74.25/hr

This role is remote but with preference to candidates located near our Denver, Colorado ... Amazon Web Services (AWS & AWS GovCloud) * Kubernetes (Amazon EKS) * Docker * Terraform and ...

DevOps Engineer

Denver, CO · Remote

$54.25 - $74.25/hr

This role is remote but with preference to candidates located near our Denver, Colorado ... Design, provision, and manage cloud infrastructure on AWS using Infrastructure as Code. * Build ...

... with Python and/or Node.js • Experience replatforming or migrating services within AWS ... or DevOps Engineer • Experience with Windows domain environments • Experience with ...

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Cyber Capabilities ... Expertise in Python programming and experience with AWS and GitLab. * Proven experience developing ...

Lead AI Engineer - AWS Platform

Denver, CO · On-site +1

$130K - $190K/yr

We are hiring a Lead AI Engineer to build and scale production-grade AI solutions on AWS. This role ... Flexible work schedules and hybrid/remote options for eligible positions * Educational assistance ...

Sr. DevOps Engineering Manager

Denver, CO · On-site +1

$133K - $171K/yr

While we are mostly a remote company, travel is required for some team meetings and cross function ... Build and manage the AWS infrastructure platform using Terraform (infrastructure as code) * Direct ...

Sr. DevOps Engineering Manager

Denver, CO · On-site +1

$133K - $171K/yr

While we are mostly a remote company, travel is required for some team meetings and cross function ... Build and manage the AWS infrastructure platform using Terraform (infrastructure as code) * Direct ...

DevSecOps Engineer

Sterling, CO · Remote

$48 - $65.75/hr

Advanced proficiency in Python and/or Bash scripting for automation and operational support ... CKA/CKAD/CKS and/or AWS DevOps Professional certification Benefits Work/Life Balance Northstrat ...

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Remote Aws Python Developer information

What is a Remote AWS Python Developer?

A Remote AWS Python Developer is a software engineer who specializes in building, deploying, and maintaining applications using the Python programming language on Amazon Web Services (AWS) cloud infrastructure. They typically work remotely, collaborating with teams online to develop cloud-based solutions, automate processes, and ensure scalability and security. Their responsibilities often include writing serverless applications, integrating AWS services like Lambda, S3, and DynamoDB, and optimizing cloud workloads. Proficiency in both Python and AWS is essential for this role.

What is the difference between Remote Aws Python Developer vs Remote Cloud Engineer?

AspectRemote Aws Python DeveloperRemote Cloud Engineer
Required SkillsPython, AWS, Linux, APIsCloud platforms (AWS, Azure, GCP), scripting, automation
CertificationsAWS Certified Developer, Python certificationsAWS Certified Solutions Architect, Cloud certifications
Work EnvironmentRemote, software development teamsRemote, infrastructure and deployment teams
Industry UsageTech, startups, SaaS companiesTech, finance, healthcare, enterprise

Remote Aws Python Developers focus on coding, AWS services, and integrating Python applications, while Remote Cloud Engineers handle broader cloud infrastructure, deployment, and automation across multiple platforms. Both roles often work remotely and require cloud certifications, but their core responsibilities differ in scope and focus.

How do Remote AWS Python Developers typically collaborate with distributed teams to ensure project success?

Remote AWS Python Developers frequently work with cross-functional teams spread across different locations. Collaboration is often managed through tools such as Slack, Jira, and GitHub, which help coordinate code reviews, issue tracking, and deployments. Regular video meetings and asynchronous communication are key to staying aligned on project goals and addressing blockers quickly. Developers are encouraged to document their code and share updates proactively to maintain transparency and foster effective teamwork.

What are the key skills and qualifications needed to thrive as a Remote AWS Python Developer, and why are they important?

To thrive as a Remote AWS Python Developer, you need strong proficiency in Python programming, a solid understanding of cloud computing concepts, and experience with AWS services, often supported by a degree in computer science or a related field. Familiarity with tools such as AWS Lambda, EC2, S3, CloudFormation, and CI/CD pipelines, as well as relevant AWS certifications, is typically expected. Excellent problem-solving, self-motivation, and clear communication skills help you collaborate effectively in a distributed team environment. These abilities ensure you can design, deploy, and maintain scalable cloud solutions efficiently and reliably while working remotely.
What are popular job titles related to Remote Aws Python Developer jobs in Colorado? For Remote Aws Python Developer jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Remote Aws Python Developer jobs? Cities in Colorado with the most Remote Aws Python Developer job openings:

AWS Data Engineer

Qode

CO • On-site, Remote

$114K - $137K/yr

Full-time

Posted 10 hours 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