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Python Developer With Aws Jobs in Rochester, NY (NOW HIRING)

Bespoke Labs

Data Engineer

Rochester, NY · On-site

$113K - $136K/yr

... Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools) Familiarity with at least one RL ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Bespoke Labs

Data Engineer

Geneseo, NY · On-site

$110K - $132K/yr

... Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools) Familiarity with at least one RL ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Mindex

Cloud Engineer - Remote

Rochester, NY · Remote

$7.0K - $120K/yr

With more than 30 years in business, Mindex is a software product and professional services company ... Continuous Learning: Stay current on AWS services and DevOps tools, contributing to the team ...

Bespoke Labs

Machine Learning Engineer

Geneseo, NY · On-site

... Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Constellation Brands

Senior Database Engineer

Rochester, NY · On-site +1

$113K - $177K/yr

... Python, Scala, or Java. * Experience in AWS, hands-on work building and operating data pipelines ... Experience with dbt (models, tests, documentation) is preferred * Expertise with an orchestration ...

WeTheHobby

Senior Software Engineer

Rochester, NY · On-site

$120K - $159K/yr

You will work closely with front-end developers, product managers, and other stakeholders to create ... Hands-on experience with AWS services Technical Skills: * Strong understanding of GraphQL, Rest ...

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Python Developer With Aws information

See Rochester, NY salary details

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

As of Jun 19, 2026, the average hourly pay for python developer with aws in Rochester, NY is $57.84, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $65.72 per hour, depending on experience, location, and employer.

What is the difference between Python Developer With Aws vs Python Developer?

AspectPython Developer With AwsPython Developer
Required SkillsPython, AWS services, cloud computing, DevOps toolsPython, data structures, algorithms, web frameworks
CertificationsAWS certifications (e.g., AWS Certified Developer)None typically required, but certifications like PCAP can help
Work EnvironmentCloud-based projects, cloud infrastructure managementWeb development, data analysis, software engineering
Industry UsageTech companies, cloud service providers, startupsSoftware firms, finance, healthcare, tech industries

Python Developer With Aws focuses on integrating Python skills with AWS cloud services, emphasizing cloud infrastructure and DevOps. In contrast, Python Developer is broader, covering various development environments and applications. Both roles require Python expertise, but the AWS component adds cloud-specific knowledge for the Python Developer With Aws role.

What does a Python Developer with AWS do?

A Python Developer with AWS specializes in designing, building, and maintaining applications using the Python programming language on Amazon Web Services (AWS) cloud infrastructure. Their responsibilities often include writing efficient Python code, integrating with AWS services like Lambda, S3, and EC2, and deploying scalable cloud-based solutions. They also ensure that applications are secure, cost-effective, and optimized for performance within the AWS ecosystem. This role requires a solid understanding of both Python programming and AWS cloud services.

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

To thrive as a Python Developer with AWS, you need strong proficiency in Python programming, experience with AWS cloud services, and a relevant degree or equivalent experience in computer science or software engineering. Familiarity with tools like AWS Lambda, EC2, S3, and knowledge of CI/CD pipelines, as well as certifications such as AWS Certified Developer, are commonly required. Problem-solving, effective communication, and adaptability are critical soft skills for collaborating with teams and addressing evolving technical challenges. These skills and qualifications are vital for building robust, scalable cloud-based applications and ensuring efficient deployment in dynamic environments.

How do Python Developers with AWS typically collaborate with other teams in a cloud-based project environment?

Python Developers with AWS frequently work alongside DevOps engineers, cloud architects, and front-end developers to design, build, and deploy scalable cloud solutions. Collaboration often involves participating in sprint planning, code reviews, and regular stand-up meetings to ensure alignment on cloud infrastructure, API integrations, and deployment strategies. Effective communication and a solid understanding of AWS services are essential, as developers may need to coordinate on topics like CI/CD pipelines, monitoring, and security best practices. This collaborative environment fosters continuous learning and helps ensure that projects meet both technical and business objectives.
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Python Developer With Aws jobs near you

Data Engineer

Bespoke Labs

Rochester, NY • On-site

$113K - $136K/yr

Full-time

Posted 3 days ago

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of data engineering experience — pipelines, ETL, data modeling in production or research settings

Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools)

Familiarity with at least one RL framework (Gymnasium / OpenAI Gym, dm_env, or equivalent) and working knowledge of RL environment structure — observation/action spaces, reward signals, episode logic

Experience with data versioning and experiment tracking (DVC, MLflow, W&B, or similar)

Comfortable with Docker and cloud infrastructure (AWS or GCP)

Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

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