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Amazon Python Jobs in Indiana (NOW HIRING)

Liberty Mutual

Senior Software Engineer

Indianapolis, IN · Hybrid

$117K - $154K/yr

... Amazon S3 as the single source of truth, including migration away from Snowflake for AskKC - Define ... Python or similar scripting for automation - Knowledge of KCS (Knowledge-Centered Service ...

ZYLO, INC.

Sr. AI Engineer

Indianapolis, IN

$99K - $137K/yr

Experience with Amazon Bedrock and AWS Lambda for serverless AI deployments * Experience with RAG ... Proficiency in programming languages such as Python, PySpark, SQL and ML frameworks such as ...

ZYLO, INC.

Sr. AI Engineer

Indianapolis, IN · On-site

$99K - $137K/yr

Experience with Amazon Bedrock and AWS Lambda for serverless AI deployments * Experience with RAG ... Proficiency in programming languages such as Python, PySpark, SQL and ML frameworks such as ...

Deloitte

FDE Senior Manager

Indianapolis, IN · On-site

... following - Python, Java, or Node.js * 5+ experience delivering solutions on Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including containers, continuous integration and ...

Elevance Health

Solutions Engineer Advisor Sr

Indianapolis, IN · Hybrid

$52.75 - $68/hr

Experience leveraging AWS AI/ML services such as Amazon Bedrock, SageMaker, Comprehend, Textract ... Experience in Spark, PySpark, Scala, Python preferred. * Experience in Agile software development ...

Zylo

Sr. AI Engineer

Indianapolis, IN · On-site

$99K - $137K/yr

Experience with Amazon Bedrock and AWS Lambda for serverless AI deployments * Experience with RAG ... Proficiency in programming languages such as Python, PySpark, SQL and ML frameworks such as ...

Deloitte

Oracle Gen AI Manager

Indianapolis, IN

Experience working across OCI and at least one additional cloud platform, including Amazon Web ... experience with Python, Structured Query Language, REST APIs, and cloud-native architecture ...

Liberty Mutual

Senior Software Engineer

Indianapolis, IN · Hybrid

$117K - $154K/yr

... Amazon S3 as the single source of truth, including migration away from Snowflake for AskKC - Define ... Python or similar scripting for automation - Knowledge of KCS (Knowledge-Centered Service ...

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Amazon Python information

What are the typical daily responsibilities of an Amazon Python Developer?

As an Amazon Python Developer, your daily responsibilities often include designing, developing, and maintaining backend services or automations using Python, ensuring code quality through testing and reviews, and deploying solutions on AWS infrastructure. You’ll frequently collaborate with product managers, data engineers, and other software developers to deliver new features and resolve issues. Continuous learning and adaptation to new tools and best practices are encouraged, allowing you to contribute to large-scale, high-impact projects. This collaborative and fast-paced environment offers a great opportunity to refine your technical skills and grow within Amazon’s engineering teams.

Is Python used in Amazon?

Python is widely used at Amazon for various purposes including automation, data analysis, machine learning, and backend development. Many Amazon teams utilize Python due to its versatility, extensive libraries, and ease of integration with cloud services like AWS. Python skills are valuable for roles involving software development, data science, and automation within Amazon's technology environment.

Will Amazon pay you $28 an hour to work from home?

Amazon Python roles, which typically involve software development and scripting, can pay around $28 an hour or higher depending on experience and location. These remote positions often require proficiency in Python, problem-solving skills, and sometimes specific certifications or experience with cloud services like AWS.

What is an Amazon Python job?

An Amazon Python job typically involves using the Python programming language to develop, automate, and optimize software solutions within Amazon's ecosystem. These roles can range from software development and machine learning to data engineering and automation. Employees in these positions work with large-scale data, cloud computing (AWS), and various Python frameworks to enhance efficiency and scalability. Strong problem-solving skills, experience with AWS services, and proficiency in Python are usually required.

Is Amazon layoff 30,000 employees?

There have been reports of Amazon planning layoffs affecting thousands of employees, but specific numbers such as 30,000 have not been officially confirmed. Amazon, as a large employer, periodically adjusts its workforce based on business needs and economic conditions, often involving layoffs in certain departments or roles, including technical positions like those for Python developers.

What is the salary of Python developer in Amazon?

The salary of a Python developer at Amazon typically ranges from $80,000 to $150,000 annually, depending on experience, location, and level. Amazon also offers benefits such as stock options, bonuses, and health insurance, and the role often requires proficiency in AWS services and Python programming skills.

What are the key skills and qualifications needed to thrive in the Amazon Python position, and why are they important?

To thrive as an Amazon Python Developer, you need advanced proficiency in Python programming, experience with cloud technologies (preferably AWS), and a solid understanding of software development principles. Familiarity with frameworks such as Flask or Django, version control systems like Git, and relevant AWS certifications (e.g., AWS Certified Developer – Associate) are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills make candidates stand out. These competencies are essential to design scalable applications, collaborate with cross-functional teams, and ensure solutions align with Amazon's technical standards.

What are popular job titles related to Amazon Python jobs in Indiana? For Amazon Python jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Amazon Python jobs in Indiana look for? The top searched job categories for Amazon Python jobs in Indiana are:
Amazon Python jobs near you
Infographic showing various Amazon Python job openings in Indiana as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.
Data Platform Engineer

Data Platform Engineer

Jms Technical Solutions

Indianapolis, IN • On-site

$80 - $85/hr

Contractor

Posted 12 days ago

Job description

25th June, 2026
Our client in Indianapolis, IN, is looking for a contract Data Platform Engineer to join their team!
This is a hybrid/full-time/12-month contract position
Hourly range based on experience: $80-$85/HR
Our client is looking for a Data Platform Engineer to help us support their continued growth. The Data Platform Engineer is responsible for building, implementing, and maintaining technical solutions that align with best-practice standards and client needs. Working closely with Data Architects, they provide technical execution and development support within Salesforce.com and other SaaS applications to support business and product strategies, with a heavy emphasis on maximizing the Salesforce Data 360 (D360) ecosystem.
A Data Platform Engineer participates in discovery sessions to understand client processes and challenges, translating documented solution designs into functional technical requirements and production-ready implementations. They provide collaborative execution and clear communication to the project and client team members to build a foundation for a trusted technical partnership.
Role Responsibilities:
  • Data Architecture & Infrastructure Implementation
    • Enterprise D360 Harmonization: Implement and maintain data structures that align with business needs, leveraging Salesforce Data 360 (D360) capabilities for unified profile management, data democratization, and real-time activation.
    • Modern Cloud Integration: Build and deploy data solutions that bridge enterprise cloud data platforms (Data Lakes/Warehouses) with the Salesforce ecosystem to address specific business needs, such as Business Intelligence (BI), ETL/ELT, and AI/ML initiatives.
    • Legacy Migration: Execute the migration, ingestion, and mapping of customer data from legacy systems and siloed databases into the Salesforce D360 platform.
    • Governance & Trust: Configure and maintain data accessibility, data privacy, granular security controls, and compliance with relevant regulations (e.g., GDPR, CCPA) and industry standards within the customer data ecosystem.
  • Data Modeling & Pipeline Engineering:
    • Ingestion & Streaming Pipelines: Develop, deploy, and maintain real-time streaming and batch data pipelines for ingesting, transforming, and loading high-volume enterprise data into Salesforce D360 from various cloud sources and APIs.
    • D360 Identity Resolution: Build and support scalable data models and metadata architectures within Salesforce D360, implementing identity resolution rules, reconciliation rules, and unified data graphs as designed.
    • Performance Optimization: Monitor, troubleshoot, and optimize query performance, calculated insights, identity resolution runs, and data transformation processes within the Salesforce D360 and underlying lakehouse environments.
  • Technical Execution and Collaboration:
    • Cross-Functional Collaboration: Collaborate actively with key stakeholders-including business users, data engineers, data scientists, and CRM IT teams-to understand technical specifications and deliver unified data solutions.
    • Ecosystem Implementation: Help evaluate, test, and integrate appropriate tools, connectors, and zero-copy/Zero-Data-Movement technologies for seamless data integration, transformation, and activation within the Salesforce D360 ecosystem.
    • Technical Guidance: Provide development-level support, code reviews, and best-practice engineering guidance to data engineering and CRM development teams.

Experience/Skills Required:
  • Experience: 3+ years of experience in data engineering, technical consulting, or database development for cloud data platforms with multiple enterprise workstreams.
  • Salesforce D360 (Data Cloud) Capabilities: Strong working knowledge of the data cloud architecture, including data models (DMOS, DSOs), identity resolution, data spaces, calculated insights, and activation targets.
  • Modern Data Methods: Familiarity and alignment with modern data architecture methods, including lakehouse architecture, zero-copy data sharing, and real-time data activation.
  • Broad Data Ecosystem Experience: Hands-on experience with enterprise database technology, cloud data warehouses (e.g., Snowflake, Databricks), ETL/ELT tools, data engineering pipelines, and data science principles.
  • Strong Communication: Excellent verbal and presentation abilities, capable of effectively communicating technical engineering concepts and data updates to stakeholders and team members.
  • Technical Tooling & Development: Strong proficiency with data-centric programming languages (such as SQL and Python) as well as Salesforce application development components (Apex, Flow, LWCs, MuleSoft).
  • Engineering Patterns: Solid understanding of enterprise architecture patterns, API management, and real-time data streaming technologies (e.g., Kafka, Amazon Kinesis).
  • Structured Data Modeling: Practical experience with data modeling methodologies (such as Kimball dimensional modeling, Star/Snowflake schemas, or Medallion Bronze/Silver/Gold structures) and mapping them into a canonical Customer 360 model.
  • US Authorization: Must have full-time permanent US work authorization.

Additional Preferred Experience/Skills:
  • Bachelor's Degree preferred, or equivalent experience.
  • Salesforce Certified Data Cloud Consultant or Accredited Professional designations.
  • Hands-on experience with core Salesforce CRM technology like Sales Cloud, Service Cloud, or Industry Clouds (e.g., Financial Services Cloud, Health Cloud).
  • Hands-on experience deploying AI/ML solutions like Salesforce Einstein, AWS Sagemaker, or Google Vertex AI, alongside a solid understanding of Generative AI patterns (e.g., Retrieval-Augmented Generation / RAG).
  • Experience designing data architectures on cloud platforms like Amazon Web Services, Microsoft Azure, or Google Cloud Platform.
  • Hands-on expertise with analytics and visualization tools like Tableau, CRM Analytics, Power BI, or Looker.
  • Open to travel based on client and business demands.

We are an equal-opportunity employer. We do not discriminate in hiring or employment against any individual based on race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws.

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