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Remote Aws Python Developer Jobs in Lincoln, CA (NOW HIRING)

Senior Data Engineer

Sacramento, CA ยท Remote

$130K - $170K/yr

Implement the designed data pipelines and backend services in Python on AWS * Design and manage AWS ... Remote within the United States * Must be authorized to work in the U.S. without employer ...

DevSecOps Chief

Beale Air Force Base, CA ยท On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_HYBRID Description SAIC is a trusted leader in delivering ... AWS DevOps Engineer, AWS Solutions Architect, or Kubernetes CKA/CKAD certification. * ITIL or ...

Remote JD : Having โ€‹6+ year experience. Google Workspace Group Automation TypeScript โ€ข ... Slack Connect Integration Automation Python โ€ข โ€‚โ€‚โ€‚โ€‚โ€‚Automate Slack Connect invitation ...

Staff Solutions Architect

Sacramento, CA ยท Remote

$120.96K - $173K/yr

Remote with 10-25% travel expectations For this role, we are looking for a US Citizen who can ... Internally, you will collaborate closely with Kong's product, engineering, customer success, and ...

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

AI Automation Engineer -Remote

Sacramento, CA ยท On-site +1

$202.38K - $234.20K/yr

... Python, React and JavaScript * Excellent debugging skills and the ability to manage multiple ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Forward Deployed Engineer

Sacramento, CA ยท Remote

$120.96K - $172.80K/yr

... DevOps practices. * Experience with major cloud providers including AWS, Azure, or GCP. * Programming experience in languages such as Python, Go, Java, JavaScript, or Lua. * Experience with ...

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Remote Aws Python Developer information

See Lincoln, CA salary details

$13

$61

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How much do remote aws python developer jobs pay per hour?

As of May 31, 2026, the average hourly pay for remote aws python developer in Lincoln, CA is $61.20, according to ZipRecruiter salary data. Most workers in this role earn between $50.43 and $69.52 per hour, depending on experience, location, and employer.

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.

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 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.

What cities near Lincoln, CA are hiring for Remote Aws Python Developer jobs? Cities near Lincoln, CA with the most Remote Aws Python Developer job openings:
Senior Data Engineer

Senior Data Engineer

Modelyst

Sacramento, CA โ€ข Remote

$130K - $170K/yr

Full-time

Posted 19 days ago


Job description

About Modelyst

Modelyst is a three-person engineering firm building production data and machine learning infrastructure for manufacturing and research environments. Our systems support real-world operations and are designed to be reliable, maintainable, and cost-efficient.

We partner directly with academic labs, national laboratories, and enterprise R&D organizations, and maintain long-term engagements in the industrial sector.

The Role

We are hiring a Senior Data Engineer to take a designed-but-not-yet-deployed AWS data platform from architecture to a working MVP at a customer site in Japan and then own its operation from there.

You will work on implementing the system, getting it running in the customer's AWS environment, and proving it out at MVP scope and beyond. You'll be the person accountable for the platform from "deployed" through "running reliably in production" through "evolving as the workload grows."

Initial work is focused on standing up infrastructure, implementing data pipelines and backend services, validating the system end-to-end against real operational data, and bringing it live for an MVP deployment. After launch, the role shifts to operating and extending the platform as the engagement matures.

This role is best suited for engineers who take pride in shipping into production environments where reliability matters and want to own a system over a multi-year arc rather than handing it off.

You will focus on this single engagement rather than being fragmented across multiple projects.

Responsibilities

  • Implement the designed data pipelines and backend services in Python on AWS

  • Design and manage AWS infrastructure using Terraform and Terragrunt

  • Deploy the platform end-to-end into the customer's AWS environment and bring it live for an MVP launch, validating against real operational data

  • Build out the CI/CD, observability, and runbooks needed to operate the platform reliably

  • Own the platform after launch โ€” incident response, performance, capacity, and cost

  • Lead the platform's design evolution from MVP through later production stages, making the data model, scaling, and reliability decisions informed by running it yourself

Requirements

  • Senior-level experience shipping production backend or data services in Python. You have built systems other people depend on.

  • Production AWS architecture experience, including event-driven services such as SQS, SNS, EventBridge, Step Functions, and Lambda.

  • Infrastructure-as-code with Terraform (Terragrunt is our standard). You've stood up and managed cloud infrastructure end-to-end.

  • You've operated systems in production โ€” incident response, performance, capacity, cost โ€” and been the person accountable when something breaks.

Preferred Experience

  • Time-series or high-throughput data environments

  • Industrial, manufacturing, robotics, or IoT systems

  • ML infrastructure or MLOps tooling

  • Large-scale data processing frameworks (e.g., Spark, Databricks)

  • Japanese language ability is helpful but not required

Location

  • Remote within the United States

  • Must be authorized to work in the U.S. without employer sponsorship

  • Collaboration with Japan-based teams is common; Pacific or Mountain time preferred

  • Occasional travel to Japan may be available

Compensation Range: $130K - $170K