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Remote Aws Redshift Jobs (NOW HIRING)

Sequoia Connect

Senior AWS Data Engineer

Atlanta, GA · Remote

$101K - $138K/yr

Design and optimize data lake and warehouse solutions using S3, Athena, and Redshift. * Write and ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

Scalepex

AWS Data Engineer - Fully Remote - US Only

Plano, TX · Remote

$117K - $140K/yr

Develop scalable, reliable data pipelines using AWS services (e.g., Glue, S3, Redshift) to process and transform large datasets from utility systems like smart meters or energy grids. * Workflow ...

Sequoia Connect

Senior AWS Data Engineer

Mountain View, CA · Remote

$125K - $169K/yr

Design and optimize data lake and warehouse solutions using S3, Athena, and Redshift. * Write and ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

Scalepex

AWS Data Engineer - Fully Remote - US Only

Plano, TX · Remote

$109K - $131K/yr

Develop scalable, reliable data pipelines using AWS services (e.g., Glue, S3, Redshift) to process and transform large datasets from utility systems like smart meters or energy grids. * Workflow ...

Scalepex

AWS Data Engineer - Fully Remote - US Only

Plano, TX · On-site +1

$109K - $131K/yr

Develop scalable, reliable data pipelines using AWS services (e.g., Glue, S3, Redshift) to process and transform large datasets from utility systems like smart meters or energy grids. * Workflow ...

nextSource

Engineering Manager (Contract)

$60 - $75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Remote Work Authorization and Engagement Requirements This position is open to candidates who are ... - 4 AWS - Redshift/Quick suite, Level - 3 Javascript (ES6)/TypeScript, Level - 4 node.js ...

Availity, LLC

Manager, Analytics

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

AWS Redshift and/or AWS S3/Athena experience * Master's degree in Computer Sciences or a related ... As a remote first company, we are also camera-first and provide all associates with camera/video ...

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... AWS Redshift, MySQL, or Snowflake * 5+ years of experience with UNIX and Linux, including basic ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

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Remote Aws Redshift information

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How much do remote aws redshift jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for remote aws redshift in the United States is $54.05, according to ZipRecruiter salary data. Most workers in this role earn between $38.70 and $64.42 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote AWS Redshift engineer?

To thrive as a Remote AWS Redshift Engineer, you need a strong background in data warehousing, SQL, and cloud architecture, typically supported by experience with AWS services and sometimes certifications like AWS Certified Data Analytics. Familiarity with tools such as AWS Redshift, S3, Glue, and ETL solutions is crucial for managing and optimizing large-scale data environments. Excellent problem-solving, communication, and self-motivation are key soft skills for collaborating remotely and addressing complex data challenges. These skills ensure effective data management, optimized performance, and successful collaboration in distributed cloud-based teams.

What are some common challenges faced by remote AWS Redshift engineers, and how can they be addressed?

Remote AWS Redshift engineers often face challenges such as coordinating with distributed teams, maintaining secure data access, and troubleshooting data pipeline issues without on-site support. Effective communication tools, clear documentation, and regular virtual check-ins help address collaboration hurdles. Leveraging AWS security best practices and automated monitoring tools can streamline issue detection and resolution, ensuring data integrity and system performance even while working remotely.

What is the difference between Remote Aws Redshift vs Remote Data Warehouse Engineer?

AspectRemote Aws RedshiftRemote Data Warehouse Engineer
Required CredentialsAWS certifications, SQL knowledgeData warehousing certifications, SQL, cloud platform knowledge
Work EnvironmentCloud-based, data analytics teamsData infrastructure teams, cloud or on-premises environments
Industry UsageData analytics, BI, cloud servicesData integration, analytics, enterprise data solutions
Search & Comparison IntentFocus on AWS Redshift-specific skillsBroader data warehouse skills including multiple platforms

Remote Aws Redshift specialists focus on managing and optimizing AWS Redshift data warehouses, often requiring AWS certifications and SQL expertise. Remote Data Warehouse Engineers have a broader scope, working with various data warehouse platforms and integrating data solutions across different environments. While both roles involve data management and analytics, Redshift roles are more cloud-specific, whereas Data Warehouse Engineers may work across multiple cloud or on-premises systems.

What is a remote AWS Redshift?

A Remote AWS Redshift job involves working with Amazon Web Services (AWS) Redshift, a cloud-based data warehouse service, from a remote location. Professionals in this role are responsible for designing, implementing, and maintaining Redshift clusters, optimizing data storage and queries, and ensuring data security and performance. Common tasks include ETL (Extract, Transform, Load) processes, managing large datasets, and integrating Redshift with other AWS services. These roles are suitable for data engineers, analysts, and database administrators who can work effectively outside a traditional office setting. Remote AWS Redshift jobs typically require strong SQL skills, experience with cloud platforms, and knowledge of data warehousing concepts.
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Remote Aws Redshift jobs near you
Infographic showing various Remote Aws Redshift job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 1% Part Time, and 10% Contract. Highlights an 79% Physical, 7% Hybrid, and 14% Remote job distribution, with an average salary of $112,422 per year, or $54 per hour.

Senior AWS Data Engineer

Sequoia Connect

Atlanta, GA • Remote

$101K - $138K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects.

We are currently partnering with a rapidly growing, automation-led powerhouse that serves 31 Fortune 500 companies across the financial, healthcare, and manufacturing sectors. With a global workforce of over 32,000 employees and a presence in 28 countries, our client is a titan of digital transformation. Their "Automate Everything, Cloudify Everything" strategy ensures you will be working at the absolute forefront of AI-driven automation and cloud solutions.

This is your chance to thrive in a "Customer Success, First and Always" environment that prizes continuous learning and radical ownership. You will collaborate within an international network of expertise across 39 delivery centers worldwide, gaining exposure to complex engineering challenges that redefine industrial standards. If you are a driven professional looking for a dynamic, forward-thinking workplace where your growth is the priority, this is where you belong.

We are currently searching for a Senior AWS Data Engineer:

The Challenge (Responsibilities)

  • Design, build, and maintain scalable ETL and data pipelines using Python, PySpark, and AWS services.
  • Develop and manage workflows using Glue, Lambda, and Step Functions.
  • Build event-driven integrations using SNS, SQS, and related AWS services.
  • Design and optimize data lake and warehouse solutions using S3, Athena, and Redshift.
  • Write and tune high-performance SQL for complex transformations and reporting.
  • Design and Implement data validation, monitoring, logging, alerting, and error-handling frameworks.
  • Design and Support API-based and JSON-based integrations across internal and external systems.
  • Troubleshoot operational issues, identify root causes, and implement corrective actions.
  • Contribute to documentation, deployment automation, and engineering best practices.
  • Collaborate with stakeholders and mentor junior team members where needed.

Your Profile (Requirements)

  • Degree holders for the visa application process.
  • 8-12 years of software development experience across the appropriate platform.
  • Solid IT background and experience.
  • Experience as an application developer for projects similar in scope and responsibility.
  • Strong expertise in Python, PySpark, and SQL.
  • Strong hands-on experience with AWS services such as Glue, Redshift, RDS, Lambda, Step Functions, SNS, SQS, S3, Athena, EMR, CloudWatch, and CloudTrail.
  • Experience with enterprise data lakes, data warehouses, data marts, and big data environments.
  • Strong understanding of ETL best practices, data quality, and operational support.
  • Experience with APIs, JSON, and cloud-based data integration patterns.
  • Familiarity with GitLab, Terraform, CI/CD, and AWS developer tools.
  • Experience with DynamoDB, EC2, ECS and Batch.
  • Exposure to data migration and cloud modernization programs.
  • Have a good understanding of performance engineering of code pipelines and near real-time systems.
  • Good understanding of Agents and MCP.
  • High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
  • Technologist DNA: A deep understanding of the difference between "coding" and "engineering."

Desired

  • Familiarity with cloud-native foundations or AI coding assistants.

Languages

  • Advanced Oral English: For seamless collaboration with global teams.
  • Advanced Spanish.

Special Notes

  • N/A

Work Arrangement

We value flexibility to support your lifestyle. This position is available as:

  • Remote


If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career’s Page: https://www.sequoia-connect.com/careers/


Requirements
  • 8-12 years of software development experience across the appropriate platform.
  • Solid IT background and experience.
  • Experience as an application developer for projects similar in scope and responsibility.
  • Strong expertise in Python, PySpark, and SQL.
  • Strong hands-on experience with AWS services such as Glue, Redshift, RDS, Lambda, Step Functions, SNS, SQS, S3, Athena, EMR, CloudWatch, and CloudTrail.
  • Experience with enterprise data lakes, data warehouses, data marts, and big data environments.
  • Strong understanding of ETL best practices, data quality, and operational support.
  • Experience with APIs, JSON, and cloud-based data integration patterns.
  • Familiarity with GitLab, Terraform, CI/CD, and AWS developer tools.
  • Experience with DynamoDB, EC2, ECS and Batch.
  • Exposure to data migration and cloud modernization programs.
  • Have a good understanding of performance engineering of code pipelines and near real time systems
  • Good understanding on Agents and MCP


Apply