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Amazon Transfer Jobs in Indiana (NOW HIRING)

Knowledgeable of Amazon Logistics System * Display ability to work as a team * Detail Oriented ... Opportunity for Internal Mobility and transfers available! WFS is an equal opportunity employer ...

... transfer, and engineering best practices A successful candidate would possess these skills ... Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including containers, continuous ...

Able to load multi-warehouse transfer trucks. * Able to perform all job duties and responsibilities ... Able to perform Amazon/Walmart pulling/picking and shipping. * Able to load all route trucks. Job ...

Databricks Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Ability to travel 50 ... load (ETL) development, or data platform engineering * 2+ years of experience building data ...

Data Architect, Data Foundry

Indianapolis, IN · On-site

$61 - $78.50/hr

Build and optimize ETL/ELT pipelines using Spark, dbt, or similar tools to transform raw scientific ... Design and implement knowledge graphs (Neo4j, Amazon Neptune, TigerGraph) that capture molecular ...

Senior Cloud Engineer

Crane, IN · On-site

$55.75 - $74.50/hr

Architecting and maintaining automated multi-modal Extract, Transform, and Load (ETL) pipelines ... Proven experience with enterprise cloud service providers such as Amazon Web Services (AWS), Google ...

Senior Cloud Engineer

Crane, IN · On-site

$55.75 - $74.50/hr

Architecting and maintaining automated multi-modal Extract, Transform, and Load (ETL) pipelines ... Proven experience with enterprise cloud service providers such as Amazon Web Services (AWS), Google ...

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Amazon Transfer information

See Indiana salary details

$11

$16

$26

How much do amazon transfer jobs pay per hour?

As of Jun 30, 2026, the average hourly pay for amazon transfer in Indiana is $16.04, according to ZipRecruiter salary data. Most workers in this role earn between $13.03 and $17.84 per hour, depending on experience, location, and employer.

Is Amazon layoff 30,000 employees?

There have been reports of Amazon planning to lay off around 30,000 employees, primarily in corporate and technology roles, as part of restructuring efforts. These layoffs are among the largest in the company's recent history and are expected to impact various departments, including Amazon Transfer roles involved in logistics and operations. Job seekers should stay updated through official Amazon communications for accurate information about layoffs and job stability.

What is an Amazon Transfer job?

An Amazon Transfer job typically refers to an internal job transfer within Amazon, allowing employees to switch roles, departments, or locations. This process helps employees explore new opportunities, gain experience, or relocate for personal reasons. Transfers may be subject to eligibility criteria, including tenure, performance, and business needs. Employees can apply for transfers through the internal job portal and must usually get approval from their current manager.

How long do you have to work at Amazon to transfer to another state?

For an Amazon Transfer, employees typically need to complete a certain period of employment, often around 6 months to a year, before qualifying for a transfer to another state. The exact duration can vary based on location, role, and company policies, and employees may need to demonstrate performance and familiarity with company procedures. It's advisable to consult Amazon's internal transfer policies or speak with HR for specific requirements.

What are the typical daily responsibilities of an Amazon Transfer associate?

Amazon Transfer associates are primarily responsible for moving packages and shipments between different areas within a warehouse or between facilities, ensuring that products are routed correctly and efficiently. Their day-to-day tasks may include scanning and sorting packages, operating pallet jacks or other equipment, updating inventory records using specialized software, and coordinating closely with other warehouse teams. The role often involves periods of physical activity, attention to maintaining safety protocols, and working in fast-paced environments, especially during peak shipping times. This position plays a crucial role in maintaining the flow of goods within Amazon’s supply chain and directly impacts the speed and accuracy of customer deliveries.

Does Amazon do job transfers?

Amazon offers internal job transfer opportunities for employees across different departments and locations, often encouraging mobility within the company. Transfers typically require approval from managers and may involve meeting certain experience or performance criteria. Employees interested in transferring should consult Amazon's internal career portal or HR policies for specific procedures.

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

To thrive as an Amazon Transfer associate, you need strong organizational skills, attention to detail, and the physical stamina necessary for handling shipments and parcel transfers, often requiring a high school diploma or equivalent. Familiarity with warehouse management software, barcode scanners, and handheld inventory devices is commonly expected. Effective communication, reliability, and the ability to work efficiently both independently and as part of a team are valuable soft skills. These abilities ensure that inventory and packages move seamlessly within Amazon's logistics network, supporting timely delivery and overall operational efficiency.

How do I transfer to a different Amazon location?

To transfer as an Amazon Transfer employee, you should notify your current manager and submit a transfer request through the company's internal HR or staffing system. Transfers typically require approval based on business needs, availability at the desired location, and your performance. It is helpful to maintain good standing and communicate your interest early to facilitate the process.
What are popular job titles related to Amazon Transfer jobs in Indiana? For Amazon Transfer jobs in Indiana, the most frequently searched job titles are:
Infographic showing various Amazon Transfer job openings in Indiana as of June 2026, with employment types broken down into 2% As Needed, 95% Full Time, 1% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $33,365 per year, or $16 per hour.

Data Platform Engineer

JMS Technical Solutions

Indianapolis, IN • On-site

$109K - $131K/yr

Other

Posted 5 days ago


Job description

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. 

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.