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Stack Python Jobs in Stafford, NY (NOW HIRING)

AI Data Architect

Rochester, NY · On-site +1

$150K - $200K/yr

You'll own the full data stack across a variety of industries and projects: one engagement you're ... Build AWS Glue ETL pipelines (Python Shell and Spark) with incremental extraction, Data Catalog ...

AI Data Architect

Rochester, NY · Remote

$150K - $200K/yr

You'll own the full data stack across a variety of industries and projects: one engagement you're ... Build AWS Glue ETL pipelines (Python Shell and Spark) with incremental extraction, Data Catalog ...

Kubernetes, Docker, Linux, Terraform, Helm, GitHub Actions/Azure DevOps, Python/Bash/PowerShell. * Experience with Azure/AWS, Azure Arc, Azure Stack Hub and hybrid-cloud deployments. * Knowledge of ...

New

Kubernetes, Docker, Linux, Terraform, Helm, GitHub Actions/Azure DevOps, Python/Bash/PowerShell. * Experience with Azure/AWS, Azure Arc, Azure Stack Hub and hybrid-cloud deployments. * Knowledge of ...

Kubernetes, Docker, Linux, Terraform, Helm, GitHub Actions/Azure DevOps, Python/Bash/PowerShell. * Experience with Azure/AWS, Azure Arc, Azure Stack Hub and hybrid-cloud deployments. * Knowledge of ...

AI Solutions Engineering Delivery Lead

Rochester, NY · On-site

$101K - $133K/yr

... full-stack AI solutions. As a senior technical leader, you will leverage deep technical ... Python, Pandas, Scikit-learn, PyTorch, Langchain, Semantic Kernel, SQL, vector DBs, LLMs, and ...

Showing results 21-40

Stack Python information

See Stafford, NY salary details

$55.8K

$121.7K

$172.1K

How much do stack python jobs pay per year?

As of Aug 21, 2026, the average yearly pay for stack python in Stafford, NY is $121,704.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,200.00 and $141,600.00 per year, depending on experience, location, and employer.

What is a Stack Python developer?

A Stack Python developer is a programmer who specializes in using the Python programming language to build and maintain software applications across different layers of a technology stack. This can include backend development with frameworks like Django or Flask, frontend work using tools such as JavaScript and React, and sometimes even database management. Stack Python developers are valued for their versatility and ability to handle multiple aspects of a project. They often collaborate with other developers and stakeholders to deliver scalable and efficient solutions using Python and related technologies.

What does a Stack Python developer do?

As a Stack Python developer, you are often responsible for building both backend and, sometimes, frontend components of web applications using Python frameworks like Django or Flask. In a collaborative team environment, your daily tasks may include writing and reviewing code, participating in code reviews, integrating APIs, and working closely with designers, product managers, and QA engineers to deliver features. You may also assist in troubleshooting bugs, optimizing application performance, and contributing to deployment processes. Effective communication and teamwork are key, as projects usually involve coordinating with various stakeholders and adhering to agile methodologies.

What are the key skills and qualifications needed to thrive as a Stack Python developer?

To thrive as a Python Developer, you need strong programming skills in Python, a solid understanding of algorithms and data structures, and often a relevant degree or coding bootcamp experience. Familiarity with frameworks like Django or Flask, version control systems such as Git, and databases like PostgreSQL or MongoDB is typically required. Problem-solving abilities, attention to detail, and effective communication help you collaborate and deliver reliable solutions. These skills ensure you can build, maintain, and optimize software applications efficiently in dynamic development environments.

What is the difference between Stack Python vs Python Developer?

AspectStack PythonPython Developer
Required CredentialsPython certifications, knowledge of frameworks like Django/FlaskPython certifications, coding skills, possibly related certifications
Work EnvironmentOften part of a team working on full-stack applications, including front-end and back-endPrimarily focused on back-end development, scripting, and application logic
Employer & Industry UsageTech companies, startups, web development firmsSoftware companies, web development agencies, tech startups
Common Search & ComparisonYesYes

Stack Python typically refers to a full-stack role involving Python for both front-end and back-end development, often requiring knowledge of multiple frameworks and technologies. Python Developers usually focus on back-end coding, scripting, and application logic. While both roles require Python expertise, Stack Python professionals work across the entire technology stack, whereas Python Developers specialize in server-side development.

What cities near Stafford, NY are hiring for Stack Python jobs?

Cities near Stafford, NY with the most Stack Python job openings:

AI Data Architect

Innovative Solutions

Rochester, NY • On-site, Remote

$150K - $200K/yr

Full-time

Re-posted 25 days ago


Job description

As a Data/AI Architect, you'll design and build data-driven cloud architectures on AWS - from S3 data lakes and Glue ETL pipelines to data warehouses and RAG-powered AI systems. You'll own the full data stack across a variety of industries and projects: one engagement you're designing a Redshift data warehouse with medallion architecture processing 31M transactions/month, the next you're building a Bedrock Knowledge Base with OpenSearch vector search. Real ownership, real variety.
Location: This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter
What You'll Do:
  • Design and build S3 data lakes with multi-zone organization, partitioning strategies, lifecycle policies, and encryption
  • Implement medallion architecture (bronze/silver/gold) for data warehouses on Redshift, Snowflake, or Databricks
  • Build AWS Glue ETL pipelines (Python Shell and Spark) with incremental extraction, Data Catalog management, and optimized Parquet output
  • Design star/snowflake schemas, materialized views, and gold-layer models optimized for BI consumption (QuickSight, PowerBI)
  • Configure data warehouse platforms - Redshift with Zero-ETL from Aurora, Snowflake with Snowpipe, Databricks with Delta Lake and Auto Loader
  • Design RAG systems using Bedrock Knowledge Base with OpenSearch Serverless vector search and Titan Embeddings
  • Architect document AI pipelines using Textract, Comprehend, and Bedrock for entity extraction
  • Design SageMaker ML pipelines for training, Model Registry, and inference
  • Lead data discovery sessions with client stakeholders and present architecture recommendations to technical and business audiences
  • Mentor delivery team members on data architecture patterns and AWS data services
  • Contribute to R&D projects evaluating emerging AWS data and AI capabilities

Required Skills:
  • 5+ years professional IT experience, 2+ years professional AWS experience
  • At least one AWS Professional-level certification (Solutions Architect Professional or Data Engineer Specialty preferred)
  • Python for data pipelines (Glue jobs, Lambda, SageMaker scripts) and PySpark for Glue Spark jobs
  • SQL and NoSQL on AWS - Aurora PostgreSQL, RDS PostgreSQL, DocumentDB, DynamoDB - including schema design and query optimization
  • Data modeling - conceptual, logical, and physical models for AWS data platforms; normalized silver-layer schemas, denormalized star/snowflake gold-layer schemas, data dictionaries
  • Dimensional modeling and medallion architecture (bronze/silver/gold) on Redshift, Snowflake, or Databricks, including materialized views and incremental refresh patterns
  • AWS Glue ETL (Python Shell and Spark), Glue Data Catalog, and crawlers
  • S3 data lake architecture with partitioning, lifecycle policies, and encryptions

Preferred:
  • RAG systems with Bedrock Knowledge Base and OpenSearch Serverless vector search
  • Amazon SageMaker for ML training, Model Registry, and inference
  • AWS HealthLake, FHIR R4 transformation, and HIPAA-compliant data pipelines
  • Document AI with Amazon Textract and Comprehend
  • Amazon Athena, QuickSight, or PowerBI integration
  • Terraform or CloudFormation for data infrastructure as code
  • Step Functions, EventBridge, and Lambda for event-driven pipeline orchestration

$150,000 - $200,000 a year
The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate's professional experience, key skills, and education/training.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.