This is a remote, United States-based role reporting to the VP of Engineering. This is a hands-on ... Building and operating pipelines using AWS Glue, Lambda, SNS, S3, PySpark, and Amazon Redshift.
Quick apply
This is a remote, United States-based role reporting to the VP of Engineering. This is a hands-on ... Building and operating pipelines using AWS Glue, Lambda, SNS, S3, PySpark, and Amazon Redshift.
Strategic Partnership Manager
Atlanta, GA · Remote
$84K - $85K/yr
... Amazon, NetSuite, Meta, Google, Klaviyo - into a single Snowflake warehouse, layer a commerce ... We're a remote-first team that runs daily standups, ships weekly, and holds ourselves to a standard ...
Quick apply
Strategic Partnership Manager
Atlanta, GA · Remote
$84K - $85K/yr
... Amazon, NetSuite, Meta, Google, Klaviyo - into a single Snowflake warehouse, layer a commerce ... We're a remote-first team that runs daily standups, ships weekly, and holds ourselves to a standard ...
Remote Amazon Warehouse information
See Dallas, GA salary details
$11.94 - $13.13
2% of jobs
$13.13 - $14.31
4% of jobs
$14.31 - $15.50
14% of jobs
$15.91 is the 25th percentile. Wages below this are outliers.
$15.50 - $16.68
14% of jobs
The median wage is $17.62 / hr.
$16.68 - $17.87
20% of jobs
$17.87 - $19.05
13% of jobs
$19.79 is the 75th percentile. Wages above this are outliers.
$19.05 - $20.24
13% of jobs
$20.24 - $21.42
7% of jobs
$21.42 - $22.61
7% of jobs
$22.61 - $23.79
3% of jobs
$23.79 - $24.98
2% of jobs
$11
$18
$24
How much do remote amazon warehouse jobs pay per hour?
As of Sep 8, 2026, the average hourly pay for remote amazon warehouse in Dallas, GA is $18.66, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $20.19 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?
| Aspect | Remote Amazon Warehouse | Remote Amazon Delivery Associate |
|---|---|---|
| Work Environment | Warehouse, indoor, physical | Remote, often vehicle-based, outdoor |
| Required Credentials | None or minimal; physical ability | Driver's license, vehicle (if applicable) |
| Industry Usage | Logistics, warehousing | Delivery, logistics |
| Job Focus | Picking, packing, sorting | Delivering 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 Dallas, GA?
The most popular types of Amazon Warehouse jobs in Dallas, GA are:
What cities near Dallas, GA are hiring for Remote Amazon Warehouse jobs?
Cities near Dallas, GA with the most Remote Amazon Warehouse job openings:
Full-time
Posted 13 days ago
Key responsibilities
Lead and develop a small global team across data engineering, analytics, and BI.
Own the architecture, reliability, and evolution of the analytical data platform.
Design and build scalable batch and event-driven pipelines across clinical, operational, product, financial, and customer data.
Job description
At the forefront of health tech innovation, CopilotIQ+Biofourmis is transforming in-home care with the industry's first AI-driven platform that supports individuals through every stage of their health journey-from pre-surgical optimization to acute, post-acute and chronic care. We are helping people live healthier, longer lives by bringing personalized, proactive care directly into their homes. With CopilotIQ's commitment to enhancing the lives of seniors with chronic conditions and Biofourmis' advanced data-driven insights and virtual care solutions, we're setting a new standard in accessible healthcare. If you're passionate about driving real change in healthcare, join the CopilotIQ+Biofourmis Team!
What is the Senior Manager, Data Engineering & Analytics role?
CopilotIQ is looking for a Senior Manager, Data Engineering & Analytics to lead and scale our data function. This is a remote, United States-based role reporting to the VP of Engineering.
This is a hands-on player-coach position. You will lead a small global team with two direct reports across the Americas and India, while personally contributing to data architecture, pipelines, analytics, dashboards, data quality, and customer-facing deliverables.
The ideal candidate is a strong data engineer first: resourceful, highly accountable, comfortable solving ambiguous problems, and able to communicate clearly with technical teams, business leaders, and customers.
You will own the foundation that supports clinical operations, product decisions, financial reporting, customer reporting, and company-wide analytics.
What you'll own:
- Lead and develop a small global team across data engineering, analytics, and BI.
- Own the architecture, reliability, and evolution of the analytical data platform.
- Design and build scalable batch and event-driven pipelines across clinical, operational, product, financial, and customer data.
- Establish strong data-quality practices, including testing, monitoring, lineage, reconciliation, alerting, and incident response.
- Define trusted metrics, dimensional models, curated datasets, and semantic layers.
- Deliver dashboards, recurring reports, customer reporting, self-service datasets, and actionable insights.
- Partner directly with clinical, operations, product, finance, engineering, and commercial stakeholders.
- Lead customer-facing discussions involving reporting requirements, metric definitions, discrepancies, and data-delivery issues.
- Investigate complex data problems, identify root causes, and implement durable solutions.
- Improve platform performance, cost efficiency, security, privacy, and maintainability.
- Set priorities, review technical work, coach team members, and help scale the organization as the company grows.
What You'll Be Doing
- Building and operating pipelines using AWS Glue, Lambda, SNS, S3, PySpark, and Amazon Redshift.
- Developing and maintaining dbt models, Airflow workflows, data tests, and monitoring.
- Designing dimensional models, star schemas, and curated analytical layers.
- Using SQL and Python to investigate data, validate results, and solve production issues.
- Building and reviewing dashboards and reports in Sigma, Looker, or similar BI tools.
- Translating ambiguous business and customer needs into clear, scalable data solutions.
- Taking business questions from discovery through metric definition, analysis, visualization, and recommendation.
- Reviewing architecture, code, data models, dashboards, and analytical approaches.
- Communicating findings, risks, limitations, and recommendations to technical and non-technical audiences.
- Balancing strategic platform improvements with urgent operational and customer needs.
What you'll bring:
- Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field, or equivalent experience.
- 5+ years of data engineering / data-platform experience.
- 2+ years of technical leadership experience and mentoring engineers.
- Deep hands-on experience designing, building, and operating production data platforms and pipelines.
- Strong experience with data architecture, ingestion, orchestration, transformation, modeling, warehousing, and performance optimization.
- Advanced SQL skills and strong proficiency in Python and PySpark.
- Experience with dbt, Apache Airflow, AWS Glue, or comparable tools.
- Experience designing dimensional models, star schemas, and curated analytical layers.
- Demonstrated ownership of data quality and reliability, including testing, monitoring, lineage, reconciliation, and operational support.
- Experience building dashboards, reports, semantic layers, and self-service datasets using Sigma, Looker, or comparable platforms.
- Strong backend engineering fundamentals, including APIs, distributed systems, and event-driven architecture.
- Experience working directly with customers, executives, and cross-functional stakeholders.
- Excellent written and verbal communication skills.
- Strong ownership, urgency, judgment, resourcefulness, and follow-through.
- A hands-on leadership style and willingness to personally solve difficult problems.
- Ability to lead effectively across time zones.
Technologies
- Cloud and Data Platform: AWS, Amazon Redshift, S3, Lambda, Glue, SNS
- Transformation and Orchestration: dbt, Apache Airflow, AWS Glue
- Processing: Apache Spark, PySpark
- Databases: DocumentDB, MongoDB, DynamoDB, or similar operational databases
- Analytics and BI: Sigma, Looker, or comparable platforms
- Languages: Advanced SQL, Python, PySpark; Java or another backend language is helpful
- Modeling: Dimensional modeling, entity-relationship modeling, star schemas, and semantic layers
Bonus Points
- Experience with healthcare data, payer data, clinical workflows, remote patient monitoring, or care-management operations.
- Working knowledge of HIPAA and secure handling of protected health information.
- Experience producing customer-facing healthcare or operational reporting.
- Experience leading a distributed or global team.
- Experience scaling a data function or hiring data engineering and analytics talent.
- Familiarity with Terraform or infrastructure as code.
- Experience with data governance, metric definitions, data catalogs, or semantic-layer initiatives.
- Familiarity with machine-learning techniques or platforms.