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Amazon Warehouse Picker Packer Jobs in Raleigh, NC

First Citizens Bank

Senior Software Engineer

Raleigh, NC · On-site

$119K - $157K/yr

Design, develop, and support scalable data pipelines, data warehouses, and cloud-based data ... Amazon Kinesis, Apache Flink, Qlik Replicate, Snow pipe Streaming, or equivalent platforms.

First Citizens Bank

Senior Software Engineer

Raleigh, NC

$119K - $157K/yr

Design, develop, and support scalable data pipelines, data warehouses, and cloud-based data ... Amazon Kinesis, Apache Flink, Qlik Replicate, Snow pipe Streaming, or equivalent platforms.

First Citizens Bank

Senior Software Engineer

Raleigh, NC

$119K - $157K/yr

Design, develop, and support scalable data pipelines, data warehouses, and cloud-based data ... Amazon Kinesis, Apache Flink, Qlik Replicate, Snow pipe Streaming, or equivalent platforms.

Infosys Limited

AWS Python Data Architect

Raleigh, NC · On-site

$150 - $190/hr

Experience in Data Warehouse Design - Dimensional modeling, star/snowflake schemas, reporting database optimization, and performance tuning. * Experience in Amazon Redshift & S3 - Expertise in cloud ...

Redhat

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

Administer the enterprise Databricks platform by configuring IAM roles for secure Amazon S3 bucket ... warehouse (Snowflake) and lakehouse (Databricks) platforms using PySpark for distributed data ...

Arete Technologies, Inc.

Oracle DBA Specialist

Raleigh, NC

$49.25 - $67/hr

Develop solutions to replicate databases from Amazon AWS to on premise platforms. Develop solutions to replicate data from active standby databases to a warehouse data stores. Deploy the developed ...

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Amazon Warehouse Picker Packer information

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How much do amazon warehouse picker packer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for amazon warehouse picker packer in Raleigh, NC is $15.42, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $16.35 per hour, depending on experience, location, and employer.

What does an Amazon warehouse picker packer do?

An Amazon Warehouse Picker Packer is responsible for selecting and packing customer orders in Amazon fulfillment centers. Their main duties include locating items in the warehouse based on order information, picking the correct products, and packing them safely for shipping. They also scan items to track inventory and ensure accuracy. The job often involves standing for long periods, lifting packages, and working efficiently to meet daily performance goals. Attention to detail and the ability to work in a fast-paced environment are important for this role.

What are the key skills and qualifications needed to thrive as an Amazon warehouse picker packer?

To thrive as an Amazon Warehouse Picker Packer, you need physical stamina, attention to detail, and the ability to follow instructions, typically with a high school diploma or equivalent. Familiarity with handheld scanners, warehouse management systems, and basic inventory tools is important for daily tasks. Strong teamwork, time management, and reliability help individuals excel in this fast-paced environment. These skills ensure that orders are accurately fulfilled, workplace safety is maintained, and operational efficiency is maximized.

What are some common challenges Amazon warehouse picker packers face, and how can they be managed?

Amazon Warehouse Picker Packers often encounter challenges such as maintaining speed and accuracy during high-volume shifts and adapting to physically demanding tasks like prolonged standing and frequent lifting. To manage these, it's helpful to follow ergonomic best practices, stay organized, and take advantage of provided training on safety and efficiency. The team environment is supportive, with supervisors and colleagues available to assist, and regular breaks help mitigate fatigue. Staying proactive about communication and asking for help when needed can make the role more manageable and rewarding.

What is the difference between Amazon Warehouse Picker Packer vs Amazon Warehouse Associate?

AspectAmazon Warehouse Picker PackerAmazon Warehouse Associate
Primary dutiesPicking, packing, and preparing orders for shipmentPerforming various warehouse tasks including picking, packing, shipping, and inventory management
Required skillsBasic physical stamina, attention to detailSimilar skills; may include additional responsibilities
Work environmentFast-paced warehouse settingSame warehouse environment, often overlapping roles
CertificationsNo specific certifications requiredTypically no certifications needed

Both roles are similar, involving physical work in a warehouse environment with minimal qualifications. The main difference is that 'Amazon Warehouse Associate' may encompass a broader range of tasks, while 'Picker Packer' focuses specifically on order fulfillment tasks.

What are popular job titles related to Amazon Warehouse Picker Packer jobs in Raleigh, NC?

For Amazon Warehouse Picker Packer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Amazon Warehouse Picker Packer jobs in Raleigh, NC look for?

The top searched job categories for Amazon Warehouse Picker Packer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Amazon Warehouse Picker Packer jobs?

Cities near Raleigh, NC with the most Amazon Warehouse Picker Packer job openings:

Amazon Warehouse Picker Packer jobs near you
Infographic showing various Amazon Warehouse Picker Packer job openings in Raleigh, NC as of August 2026, with employment types broken down into 82% Full Time, 13% Part Time, 1% Temporary, 2% Contract, and 2% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $32,065 per year, or $15.4 per hour.

Senior Software Engineer/Developer

Fidelity Investments

Durham, NC • On-site

$118K - $156K/yr

Full-time

Re-posted 9 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 272 frontline employees who took The Breakroom Quiz

16th of 150 rated financial services

Job description


Note: Fidelity will not provide immigration sponsorship for this position.
Position Description:
Develops web applications and data solutions in a cloud environment using Amazon Web Services (AWS) cloud technology. Designs and builds data pipelines using Extract, Transform and Load (ETL) and Extract, Load and Transform (ELT) principles to move data from diverse sources into data lakes, data warehouses, and analytics platforms. Implements data quality, validation, and governance by enforcing security protocols and compliance with regulatory requirements. Utilizes Structured Query Language (SQL) to design and deliver data lake, data warehouses, and reporting platforms. Tests and improves applications by leveraging Continuous Integration and Continuous Delivery (CI/CD) pipelines and version control technologies. Reports on application functionality using tools --Tableau and Oracle Business Intelligence Enterprise Edition (OBIEE). Manipulates and models data utilizing relational and dimension models. Automates routine processes, optimizes infrastructure, and monitors data workflows to ensure availability and reliability. Provides business solutions by developing complex or multiple software applications and collaborates closely with analysts, product teams, and executives to align data solutions with business needs.
Primary Responsibilities:
  • Designs and builds data pipelines to extract, transform, and load data from diverse sources into data warehouses, lakes, or analytics platforms.
  • Develops original and creative technical solutions to ongoing development efforts.
  • Implements validation checks, monitors pipelines, and enforces data access and security protocols.
  • Designs applications or subsystems on major projects and for/in multiple platforms.
  • Automates routine processes, enhances infrastructure, and performs performance tuning.
  • Develops applications for multiple projects supporting several divisional initiatives.
  • Supports and performs all phases of testing leading to implementation.
  • Assists in the planning and conducting of user acceptance testing.
  • Develops comprehensive documentation for multiple applications supporting several corporate initiatives.
  • Responsible for post-installation testing of any problems.
  • Establishes project plans for projects of moderate scope.
  • Works on complex assignments and often multiple phases of a project.
  • Performs independent and complex technical and functional analysis for multiple projects supporting several initiatives.
  • Prepares datasets for analytics and reporting and deploys models to production environments.
  • Provides solutions that deliver business value and long-term foundational data and analytics platform improvements.

Education and Experience:
Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Senior Software Engineer/Developer (or closely related occupation) performing data integration, data modeling, and development of data pipelines and analytics solutions, using AWS, SQL, Teradata, and Informatica.
Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and one (1) year of experience as a Senior Software Engineer/Developer (or closely related occupation) performing data integration, data modeling, and development of data pipelines and analytics solutions, using AWS, SQL, Teradata, and Informatica.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") designing and implementing highly scalable and high-performance data ingestion frameworks and pipelines to enable data integration, transformation, and analytics in a financial services domain, using Python, AWS (Lambda, EMR, S3, and EC2), Linux, Shell scripting, Informatica, and Control-M.
  • DE performing data modeling and database design using Star, Snowflake, Data Vault techniques, and dimensional structures in a data warehouse environment with distributed frameworks (Snowflake and PySpark) and databases (Oracle and Snowflake).
  • DE translating business requirements into technical validations and examining data to determine accuracy and quality, using SQL/PLSQL; and automating the CI/CD for deployments using Stash, GitHub, Jenkins, and uDeploy.
  • DE designing and developing automation frameworks for ETL testing, feed file to database comparison, and database to database comparison, using ICEDQ tool and Gherkin language; and testing Tableau dashboards using data permutation combinations.

#PE1M2
#LI-DNI
Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
Certifications:
Category:
Information Technology
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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