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Python Aws Jobs in San Ramon, CA (NOW HIRING)

Marencor

AWS Data Engineer

San Francisco, CA · On-site

$134.90K - $162K/yr

AWS Data Engineer (Python, Dataiku) Location: SFO, CA - Hybrid Job Brief As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work ...

TestingXperts

AWS Architect

San Francisco, CA · On-site

$76.25 - $100.25/hr

Comprehensive experience with AWS technologies including S3, RDS, Redshift, EC2, ELB ALB, IAM, SQS ... Ability to code and script in administrative type language Ruby, Python, PowerShell, Bash ...

Yutori

Growth Engineer

San Francisco, CA · On-site

React, Typescript, Python, AWS. * Deep understanding of how the web / HTTP works. * Experience working with large distributed systems. * High IQ, high EQ, high agency, high craftsmanship, low ego.

Perficientcorp Inc

Sr. AWS Data Engineer

San Francisco, CA · On-site

$134.90K - $162K/yr

AWS Redshift AWS Athena S3, Glue, Lambda (nice to have but expected in ecosystem) • Advanced Python programming for data engineering • Strong expertise in data modeling (star/snowflake schemas ...

Apex Informatics

AWS Data Engineer

San Francisco, CA · On-site

$134.90K - $162K/yr

Spark, AWS, data lake, data pipelining python As an AWS Data Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure. You will be responsible for ...

Staffingine LLC

AWS Data Engineer

San Francisco, CA · On-site

$134.90K - $162K/yr

Strong background in designing, developing, and maintaining scalable data pipelines for ingestion and processing using Python, Spark, and AWS services * ETL Development: Implement and manage ETL ...

Purple Drive Technologies

AWS Data Engineer

San Francisco, CA · On-site

$134.90K - $162K/yr

... Python, and QlikView/Qlik Sense data models. • Experience with data validation, cleansing, and performance optimization. • Familiar with AWS/Azure data platforms and reporting data flows for ...

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How much do python aws jobs pay per hour?

As of May 30, 2026, the average hourly pay for python aws in San Ramon, CA is $65.51, according to ZipRecruiter salary data. Most workers in this role earn between $53.99 and $74.42 per hour, depending on experience, location, and employer.

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

To thrive as a Python AWS Developer, you need strong proficiency in Python programming, a solid understanding of cloud computing fundamentals, and experience with AWS services such as Lambda, EC2, and S3, often backed by a relevant degree or AWS certification. Familiarity with tools like AWS CLI, CloudFormation, and containerization platforms (e.g., Docker) is typically required. Problem-solving ability, effective communication, and adaptability are vital soft skills for collaborating and troubleshooting in dynamic cloud environments. These skills and qualifications are crucial for building scalable, secure, and efficient cloud-based applications that meet business needs.

How do Python AWS professionals typically collaborate with other teams in cloud-based projects?

Python AWS professionals often work closely with DevOps engineers, cloud architects, and software developers to design, develop, and deploy scalable cloud applications. Collaboration usually involves participating in sprint planning meetings, code reviews, and infrastructure discussions to ensure seamless integration of Python-based solutions with AWS services. Effective communication and familiarity with CI/CD pipelines are essential, as these roles require coordinating on deployments, troubleshooting, and optimizing cloud resources for performance and cost-efficiency.

What are Python AWS developers?

Python AWS developers are professionals skilled in using the Python programming language to build, deploy, and manage applications on Amazon Web Services (AWS). They leverage AWS services such as Lambda, EC2, S3, and others, often using Python libraries like Boto3 to automate cloud operations. These developers are responsible for creating scalable, cloud-native solutions and integrating various AWS services through Python scripts. Their expertise helps businesses efficiently use AWS resources and optimize cloud-based workflows.

What is the difference between Python Aws vs Cloud Engineer?

AspectPython AwsCloud Engineer
Required CredentialsAWS certifications, Python proficiencyCloud certifications (AWS, Azure, GCP), scripting skills
Work EnvironmentDevelopment, scripting, automation in cloud environmentsDesign, implement, manage cloud infrastructure
Employer & Industry UsageTech companies, startups, cloud service providersLarge enterprises, IT firms, cloud service providers
Common Search & ComparisonYesYes

Python Aws focuses on scripting and automation using Python within AWS environments, while Cloud Engineer involves designing and managing overall cloud infrastructure across multiple platforms. Both roles require cloud certifications, but Python Aws emphasizes coding skills, whereas Cloud Engineers focus on architecture and deployment.

What are popular job titles related to Python Aws jobs in San Ramon, CA? For Python Aws jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Python Aws jobs in San Ramon, CA look for? The top searched job categories for Python Aws jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Python Aws jobs? Cities near San Ramon, CA with the most Python Aws job openings:
Python Aws jobs near you

AWS Data Engineer

Marencor

San Francisco, CA • On-site

$134.90K - $162K/yr

Contractor

Posted 2 days ago

Job description

Role: AWS Data Engineer (Python, Dataiku) 

Location: SFO, CA – Hybrid

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

  • 7+ years of 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.