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Remote Amazon Warehouse Jobs in Silver Spring, MD

Magpie Health Analytics

Data Engineer (Remote)

Baltimore, MD · Remote

$117K - $140K/yr

Experience with Snowflake, Amazon RDS, or other cloud-native data warehouses. * Familiarity with modern data transformation tools (dbt, Dataform, or equivalent) and best practices for modular, tested ...

Cloudera

Staff Software Engineer - Trino

Washington, DC · Remote

$184K - $230K/yr

Cloudera is looking for an exceptional and passionate software engineer to join the Data Warehouse ... Experience with public cloud infrastructures such as Microsoft Azure, Amazon Web Services and ...

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0241347 Location: Chantilly,VA,US Share job via: Share Data Engineer ... Experience with Data Marts and Data Warehouses and creating, managing, and troubleshooting complex ...

eSimplicity

Data Engineer II

Columbia, MD · On-site +1

$100K/mo

... Amazon Web Services (AWS), Google Cloud Platform (GCP), or similar platforms. * Knowledge of MLOps ... Working Environment : eSimplicity supports a remote work environment operating within the Eastern ...

eSimplicity

Data Engineer II

Columbia, MD · On-site +1

$93K - $100K/yr

... Amazon Web Services (AWS), Google Cloud Platform (GCP), or similar platforms. * Knowledge of MLOps ... Working Environment : eSimplicity supports a remote work environment operating within the Eastern ...

All JobsAmazon Warehouse JobsRemote Amazon Warehouse JobsRemote Amazon Warehouse Jobs in Silver Spring, MD

Remote Amazon Warehouse information

See Silver Spring, MD salary details

$13

$21

$28

How much do remote amazon warehouse jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for remote amazon warehouse in Silver Spring, MD is $21.35, according to ZipRecruiter salary data. Most workers in this role earn between $18.12 and $23.12 per hour, depending on experience, location, and employer.

What is a remote Amazon warehouse?

A Remote Amazon Warehouse job refers to positions that support Amazon's warehouse operations but can be performed remotely, typically from home. These roles may include customer service, logistics coordination, inventory management, or administrative support. While traditional warehouse roles are physically based in fulfillment centers, remote positions allow employees to contribute to warehouse functions without being onsite. Remote jobs often require computer skills, reliable internet, and strong communication abilities. They provide flexibility and are ideal for those who prefer or need to work from home.

What are the key skills and qualifications needed to thrive as a remote Amazon warehouse associate?

To thrive as a Remote Amazon Warehouse Associate, you need strong organizational skills, attention to detail, and a high school diploma or equivalent. Familiarity with warehouse management systems (WMS), basic computer skills, and sometimes experience with inventory software are typically required. Reliability, time management, and effective communication are valuable soft skills for remote coordination and meeting performance targets. These skills ensure accurate order processing, efficient workflow, and seamless collaboration in a remote fulfillment environment.

What are the main challenges of working in a remote Amazon warehouse role, and how can I prepare for them?

One of the main challenges in a remote Amazon warehouse role is staying self-motivated and organized, as you’ll often need to manage your tasks independently without direct, in-person supervision. Effective communication with team members and supervisors through digital tools is also essential to ensure smooth operations and timely updates. Additionally, you may need to adapt to new technologies and processes as Amazon continuously innovates its logistics and fulfillment operations. Preparing by developing strong time-management skills, being comfortable with virtual collaboration tools, and staying proactive in learning new systems can help you succeed in this environment.

What is the difference between Remote Amazon Warehouse vs Remote Amazon Delivery Associate?

AspectRemote Amazon WarehouseRemote Amazon Delivery Associate
Work EnvironmentWarehouse, indoor, physicalRemote, often vehicle-based, outdoor
Required CredentialsNone or minimal; physical abilityDriver's license, vehicle (if applicable)
Industry UsageLogistics, warehousingDelivery, logistics
Job FocusPicking, packing, sortingDelivering packages to customers

Remote Amazon Warehouse jobs typically involve indoor physical tasks like sorting and packing in a warehouse setting, while Remote Amazon Delivery Associate roles focus on delivering packages, often outdoors, with a need for a valid driver's license. Both roles are part of Amazon's logistics network but differ in work environment and job responsibilities.

What are the most commonly searched types of Amazon Warehouse jobs in Silver Spring, MD?

The most popular types of Amazon Warehouse jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Remote Amazon Warehouse jobs?

Cities near Silver Spring, MD with the most Remote Amazon Warehouse job openings:

Remote Amazon Warehouse jobs near you

Data Engineer (Remote)

Magpie Health Analytics

Baltimore, MD • Remote

$117K - $140K/yr

Full-time

Posted 20 days ago

Job description

Position Purpose:

We are seeking a Data Engineer to support the development of cloud-native data solutions that improve operational efficiency, support regulatory reporting, and drive actionable insight for our commercial and government healthcare clients. This role is responsible for building, maintaining, and optimizing scalable data pipelines and validation workflows across complex datasetsenabling downstream analytics, application logic, and system modernization initiatives.

Primary Duties & Responsibilities:

  • Design, develop, and maintain ETL/ELT pipelines using structured and semi-structured data from relational databases, flat files, APIs, and cloud data sources.
  • Collaborate with backend and architecture teams to define data transformation flows aligned with dashboard and reporting application needs.
  • Design and optimize data schemas to ensure performance, integrity, and compatibility with reporting requirements.
  • Develop and maintain efficient, testable, and reusable data processing scripts using Python, SQL, and cloud-native tools.
  • Collaborate with DevOps, analysts, and application developers to align pipelines with system architecture, storage strategy, and reporting needs.
  • Implement data quality and validation checks and document data lineage and pipeline logic for audit and reuse.
  • Troubleshoot performance issues in data jobs and support data pipeline operations across environments (DEV, VAL, PROD).
  • Contribute CI/CD workflows and automation strategies to promote rapid iteration and secure deployment of data services.
  • Assist in developing or maintaining data documentation, including metadata, data dictionaries, and technical user guides.
  • Stay up to date with emerging technologies, techniques, and trends to inform product development and decision-making.

Minimum Qualifications:

  • Bachelor's degree in computer science, engineering, statistics, or related field.
  • 4+ years of experience in a data engineering, data pipeline, or ETL/ELT development role.
  • Strong proficiency in SQL, data transformation logic, and performance tuning for large datasets.
  • Proficiency with Python and libraries such as Pandas, PySpark, or Numpy.
  • Experience with modern version control and CI/CD practices (e.g., GitHub Actions, Jenkins).
  • Understanding of distributed computing solutions for data processing (e.g. AWS Glue, AWS EMR, Apache Hadoop, Apache Spark)
  • Experience with data pipeline orchestration frameworks or serverless tools (e.g., AWS StepFunctions, AWS Glue Workflows, and/or AWS Lambda).

Preferred Qualifications:

  • Experience developing solutions in AWS cloud environments (S3, Lambda, Aurora, SNS, CloudFormation/CDK).
  • Experience with Snowflake, Amazon RDS, or other cloud-native data warehouses.
  • Familiarity with modern data transformation tools (dbt, Dataform, or equivalent) and best practices for modular, tested SQL transformations within an ELT architecture.
  • Experience supporting healthcare data systems or CMS data environments
  • AWS certifications are a plus.