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Freelance Aws Python Developer Jobs in Brea, CA (NOW HIRING)

Jobsbridge

DevOps Developer

Glendale, CA

... APIs AWS Disaster Recovery design and deployment across regions a plus Experience in automation and testing via scripting & programming (TFS, PowerShell, Jenkins, Python, Ruby, Java) Self-starter ...

TMS

AWS Tech Lead with API Gateway Exp

Irvine, CA · On-site

$70 - $75/hr

AWS API Gateway integration, API Gateway implementation (Authorize experience), Python, Java Spring ... DevOps & CI/CD: • Set up CI/CD pipelines using AWS Code Pipeline, Code Build, and Code Deploy ...

Empower Professionals

Senior AI/ML Engineer

Irvine, CA · Hybrid

$55 - $60/hr

... Python, scalable APIs, microservices) Must Have Certifications - * AWS Certification (Preferred): * AWS Certified Solutions Architect OR * AWS Certified Machine Learning Specialty OR * AWS Data ...

Apex Systems

Software Developer I

Newport Beach, CA · Hybrid

$50/hr

Job#: 3035825 Software Developer I Location: Newport Beach, California (Hybrid) Employment Type ... Proficiency with AWS, Python, and React. * Knowledge of various technologies such as RDBMS, NoSQL ...

MSR Cosmos

AWS Data Architect

Gardena, CA · On-site

$65.25 - $84/hr

Role: AWS Data Architect Location : Toorance CA Onsite Duration: Long Term Developing CDM ... Programming Languages Proficiency in Python SQL and potentially PySpark for data processing and ...

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

As of Jun 10, 2026, the average hourly pay for freelance aws python developer in Brea, CA is $60.72, according to ZipRecruiter salary data. Most workers in this role earn between $50.05 and $68.99 per hour, depending on experience, location, and employer.

What are the common challenges faced by Freelance AWS Python Developers when managing multiple client projects simultaneously?

Freelance AWS Python Developers often juggle several projects at once, which can present challenges such as managing conflicting deadlines, aligning with different clients' AWS infrastructure preferences, and staying updated with evolving AWS services. Effective communication and clear documentation are crucial when collaborating with various stakeholders remotely. Additionally, freelancers need to ensure robust security practices for each client, as data privacy and compliance requirements may differ between projects.

What does a Freelance AWS Python Developer do?

A Freelance AWS Python Developer designs, develops, and maintains cloud-based applications using Python on Amazon Web Services (AWS). They are responsible for building scalable and secure solutions, integrating AWS services like Lambda, S3, and DynamoDB, and automating cloud infrastructure with Python scripts. As freelancers, they work independently for various clients, handling tasks such as coding, deployment, troubleshooting, and optimizing cloud resources to meet client needs.

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

AspectFreelance Aws Python DeveloperCloud Engineer
CredentialsAWS certifications, Python proficiencyAWS certifications, cloud architecture knowledge
Work EnvironmentIndependent, project-based, remoteIn-house or remote, team collaboration
Industry UsageFreelance projects, startups, consultingLarge enterprises, cloud service providers

Freelance Aws Python Developers focus on specific projects involving AWS and Python, often working independently. Cloud Engineers typically handle broader cloud infrastructure, architecture, and deployment within organizations. While both roles require AWS certifications, Freelance Aws Python Developers emphasize coding and project delivery, whereas Cloud Engineers focus on system design and management.

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

To thrive as a Freelance AWS Python Developer, you need strong expertise in Python programming, cloud architecture knowledge, and experience with AWS services, often supported by a relevant degree or AWS certifications. Familiarity with tools such as AWS Lambda, EC2, S3, CloudFormation, and version control systems like Git is typically required. Excellent problem-solving, communication, and time management skills help you deliver client projects efficiently and maintain strong professional relationships. These skills and qualities ensure you can design scalable cloud solutions, meet client needs, and succeed in a competitive freelance market.
What job categories do people searching Freelance Aws Python Developer jobs in Brea, CA look for? The top searched job categories for Freelance Aws Python Developer jobs in Brea, CA are:
Freelance Aws Python Developer jobs near you

AI/ML Architect with Databricks, AWS

Yantran LLC

Los Angeles, CA

$69.75 - $91.50/hr

Other

Posted 3 days ago

Job description

Role Overview:
We are seeking an experienced AI/ML Architect with deep hands-on expertise in Databricks on AWS to lead the design and implementation of scalable, high-performance data and machine learning platforms. The ideal candidate combines architectural thinking with strong engineering execution, demonstrating the ability to build modern lakehouse systems, optimize large-scale pipelines, and drive analytical and ML capabilities across the organization.
This role requires working with large, multi-terabyte datasets, advanced analytics, and end-to-end ML lifecycle management using Databricks, Python, PySpark, and AWS-native services.
Must Demonstrate (Critical Competencies)
  • Designing Databricks-based lakehouse architectures on AWS (Delta Lake + S3 + Unity Catalog).
  • Clear separation of compute vs. serving layers in distributed architectures.
  • Low-latency API strategy where Spark is insufficient (e.g., leveraging optimized services or caching).
  • Caching strategies to accelerate reads and reduce compute cost.
  • Data partitioning, file size tuning, and optimization strategies for large-scale pipelines.
  • Experience handling multi-terabyte structured time-series workloads.
  • Ability to distill architectural significance from ambiguous business requirements.
  • Strong curiosity, questioning, and requirement-probing mindset.
  • Player-coach approach: hands-on technical depth + ability to guide design.
Key Responsibilities:
AI/ML & Advanced Analytics
  • Develop, train, and optimize ML models using Python, PySpark, MLflow, and Databricks Machine Learning.
  • Conduct exploratory data analysis (EDA) to identify patterns, trends, and insights in large datasets.
  • Deploy ML models into production using MLflow, Databricks Workflows, or other MLOps pipelines.
  • Build analytics solutions such as forecasting, anomaly detection, segmentation, or recommendation systems.
  • Design ML architectures aligned with Databricks Lakehouse on AWS.
Data Engineering & Lakehouse Architecture
  • Architect and build scalable ETL/ELT pipelines using PySpark, SQL, and Databricks Workflows.
  • Implement Delta Lake best practices, including OPTIMIZE, ZORDER, partitioning, and schema evolution.
  • Design lakehouse layers (Bronze/Silver/Gold) with strong separation of compute and serving layers.
  • Optimize cluster performance and jobs using Spark tuning, caching, and shuffle minimization.
  • Work with multi-terabyte, time-series, high-velocity data in a distributed environment.
  • Ensure robust data availability for downstream ML and analytics workloads.
AWS Cloud Integration:
  • Architect end-to-end data and ML solutions using AWS services, including:
  • S3 for storage
  • IAM for identity & access
  • Glue Catalog for metadata management
  • Networking for secure, high-throughput data movement
  • Integrate Databricks with AWS-native compute, API layers, and low-latency endpoints.
Business Collaboration & Leadership:
  • Translate business problems into scalable analytical or ML architectures.
  • Communicate complex statistical and architectural concepts to non-technical stakeholders.
  • Collaborate with product, engineering, and business leaders to drive data-informed initiatives.
  • Provide design leadership while remaining hands-on in execution.
Skills & Qualifications
  • Bachelor's or Master's in Computer Science, Data Science, Engineering, Statistics, or related field.
  • 10+ years of experience in data engineering, ML engineering, or AI/ML architecture roles.
  • Deep expertise in Databricks on AWS, including:
  • PySpark / Spark SQL
  • Databricks Notebooks
  • Delta Lake
  • Unity Catalog
  • MLflow
  • Databricks Jobs & Workflows
  • Strong programming ability in Python (pandas, numpy, scikit-learn).
  • Demonstrated experience with large-scale, multi-terabyte data processing.
  • Strong understanding of ML algorithms, distributed systems, and data optimization.
Preferred:
  • Experience with MLOps and production deployment pipelines.
  • Strong grasp of AWS-native data and compute services.
  • Understanding of CI/CD using GitHub Actions, GitLab CI, or similar.
  • Familiarity with deep learning frameworks (TensorFlow, PyTorch).
Key Competencies:
  • Strong analytical and problem-solving skills.
  • Ability to work in fast-paced, highly collaborative environments.
  • Excellent communication and presentation abilities.
  • Self-driven with exceptional attention to architectural detail.

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