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Remote Aws Redshift Jobs (NOW HIRING)

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 · 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 ...

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 ...

Actionable Outcomes

Data Analyst

Melbourne, FL · Remote

$80K - $120K/yr

Remote, within the United States Annual salary range: $80,000 - $120,000 Relevant experience: 3 ... Fluency in SQL and especially the linguistic variants that apply to PostgreSQL and AWS Redshift.

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How much do remote aws redshift jobs pay per hour?

As of Jun 13, 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, and why are they important?

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 job?

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
Data Engineer - snowflake to AWS (W2)

Data Engineer - snowflake to AWS (W2)

Snowrelic Inc

Glen Allen, VA • Remote

$117K - $140K/yr

Contractor

Posted 9 hours ago

Job description

Role: Data Engineer 

Location: Remote 

Note: Only USC and GC

Job Description 

We are seeking an experienced Data Migration Engineer to support a Federal client in migrating enterprise data platforms from Snowflake to AWS Cloud services. The ideal candidate will have strong hands-on experience with Snowflake data extraction, AWS data lake and analytics services, and secure data migration methodologies aligned with Federal compliance standards. 

This role involves designing, executing, and validating large-scale data migrations while ensuring data integrity, security, performance, and compliance with Federal regulations. 
 

Key Responsibilities 

  • Design and implement end-to-end data migration strategies from Snowflake to AWS cloud platforms 

  • Extract data from Snowflake using COPY INTO, Snowflake stages, and secure data sharing mechanisms 

  • Migrate data to AWS services including Amazon S3, Redshift, Athena, RDS/Aurora, and Glue Data Catalog 

  • Develop and optimize data pipelines using AWS Glue, Lambda, Step Functions, and Python 

  • Perform data validation, reconciliation, and quality checks post-migration 

  • Convert Snowflake schemas, tables, views, and data types to AWS-compatible formats 

  • Implement incremental and batch migration strategies using Snowflake Streams and Tasks 

  • Ensure compliance with Federal security and data governance standards (FedRAMP, FISMA, NIST) 

  • Optimize data formats (Parquet/ORC) for cost, performance, and scalability 

  • Collaborate with cloud architects, security teams, and stakeholders to meet project milestones 

  • Create technical documentation, migration runbooks, and operational guides 

  • Monitor migration jobs and resolve performance, data consistency, or failure issues 

  • Support post-migration testing, optimization, and production cutover activities 

Required Skills & Qualifications 

Technical Skills 

  • Strong hands-on experience with Snowflake (data unloading, stages, file formats, performance tuning) 

  • Experience migrating data to AWS Cloud, including: 

  • Amazon S3 

  • Amazon Redshift 

  • AWS Glue (ETL & Data Catalog) 

  • AWS Athena 

  • Proficiency in SQL and Python 

  • Experience with data formats: Parquet, ORC, CSV, JSON 

  • Knowledge of AWS IAM, roles, policies, and secure access patterns 

  • Experience with large-scale data migration and data warehousing concepts 

  • Familiarity with CI/CD pipelines and automation for data workflows 

Compliance Requirements 

  • Experience working with Federal or Government clients 

  • Understanding of: 

  • FedRAMP 

  • FISMA 

  • NIST 800-53 

  • Knowledge of data encryption (at rest and in transit) and audit logging 

  • Ability to follow government change management and documentation standards 

Preferred Qualifications 

  • AWS Certified (Solutions Architect, Data Analytics, or Developer) 

  • Snowflake SnowPro Certification 

  • Experience with Terraform or CloudFormation 

  • Prior experience supporting data lake modernization projects 

  • Experience with PII/PHI data handling in regulated environments 

Education 

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field 

  • Equivalent work experience may be considered 

Clearance Requirement 

  • Active or ability to obtain Federal clearance (Public Trust / Secret based on project needs) 

Nice-to-Have Skills 

  • AWS DMS (indirect Snowflake use cases) 

  • Apache Airflow or managed workflow services 

  • Data governance and metadata management tools