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Remote Aws Redshift Jobs in Boston, MA (NOW HIRING)

DRC Systems

Technical Lead - Data Analysis

Boston, MA · Remote

$50 - $54/hr

Title - Technical Lead - Data Analysis Location - Boston, MA - Remote JD - Key Skills * Advanced ... Hands-on experience with AWS data stack: Redshift, Athena, S3 * Experience building and delivering ...

Tiger Analytics Inc.

Data Architect

Westwood, MA · Remote

$71.25 - $91.75/hr

... remote global workforce. If you are passionate about leading large-scale cloud and data ... Architect and optimize data pipelines and storage solutions using AWS (S3, Redshift, Glue, EMR ...

OneStudyTeam

Senior Data Scientist

Boston, MA · On-site +1

$140K - $190K/yr

Build and optimize data pipelines and analytical workflows using tools like AWS Athena, Redshift ... LI-Remote We value diversity and believe the unique contributions each of us brings drives our ...

Foley

Senior Data Engineer

Boston, MA · Remote

$180K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience with AWS data services such as Redshift, Glue, Lambda, S3, and EventBridge * Strong ... This role is primarily remote, US-based, and operates largely in EST hours, with occasional travel ...

Foley

Senior Data Engineer

Boston, MA · Remote

$140K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience with AWS data services such as Redshift, Glue, Lambda, S3, and EventBridge * Strong ... This role is primarily remote, US-based, and operates largely in EST hours, with occasional travel ...

All JobsAws Redshift JobsRemote Aws Redshift JobsRemote Aws Redshift Jobs in Boston, MA

Remote Aws Redshift information

See Boston, MA salary details

$12

$58

$84

How much do remote aws redshift jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for remote aws redshift in Boston, MA is $58.72, according to ZipRecruiter salary data. Most workers in this role earn between $42.07 and $70.00 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.

What are the most commonly searched types of Aws Redshift jobs in Boston, MA?

The most popular types of Aws Redshift jobs in Boston, MA are:

What are popular job titles related to Remote Aws Redshift jobs in Boston, MA?

For Remote Aws Redshift jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Remote Aws Redshift jobs in Boston, MA look for?

The top searched job categories for Remote Aws Redshift jobs in Boston, MA are:

Remote Aws Redshift jobs near you
Infographic showing various Remote Aws Redshift job openings in Boston, MA as of August 2026, with employment types broken down into 87% Full Time, 4% Part Time, and 9% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $122,136 per year, or $58.7 per hour.

Technical Lead - Data Analysis

DRC Systems

Boston, MA • Remote

$50 - $54/hr

Contractor

Re-posted 24 days ago

Job description

Title – Technical Lead – Data Analysis
Location – Boston, MA - Remote
JD - Key Skills

  • Advanced SQL & Data Modeling – Proven ability to design robust data models, write complex SQL, and build performant analytics pipelines.
  • Data Visualization & Storytelling – Ability to translate complex healthcare data into actionable insights using dashboards and stakeholder-ready visualizations.
  • Healthcare Analytics & Value-Based Care Expertise – Strong hands-on experience with claims and clinical data, value-based care metrics, and healthcare quality measures.

Must Have Skills

  • Healthcare Data Experience
    • 5+ years of hands-on experience working with healthcare data
    • Deep expertise in claims and/or clinical data
    • Strong understanding of medical economics, risk adjustment, quality measures, and population health analytics
  • Value-Based Care
    • Minimum 2+ years of experience supporting value-based care use cases
    • Ability to act as a Value-Based Care SME in internal and client-facing discussions
  • Technical & Analytics Skills
    • Advanced SQL (complex joins, window functions, performance tuning)
    • Strong data modeling skills to support analytics and BI developers
    • Experience creating custom tables, views, and stored procedures (preferably in AWS Redshift)
    • Ability to support ad hoc analytics and complex customer requests
  • Cloud & BI Tools
    • Hands-on experience with AWS data stack: Redshift, Athena, S3
    • Experience building and delivering dashboards using Amazon QuickSight
  • Client & Stakeholder Engagement
    • Comfortable engaging directly with healthcare customers
    • Strong ability to translate business and value-based goals into actionable analytics deliverables
    • Experience presenting insights clearly to technical and non-technical stakeholders Good to Have Skills
  • Modern Data & Analytics Tools
    • Experience with dbt, Snowflake, or Looker
    • Familiarity with data pipelines and SaaS-scale analytics platforms
  • Programming & Automation
    • Ability to write and troubleshoot Python for data analysis or automation
    • Familiarity with GitHub and CI/CD tools such as Jenkins
  • Healthcare Interoperability
    • Understanding of FHIR or other healthcare interoperability standards
  • AI & Advanced Analytics
    • Experience integrating or validating AI-powered coding or analytics tools
    • Exposure to model QA, validation, or analytics governance
  • Tooling & Collaboration
    • Experience using Jira and Confluence in an agile environment
  • Industry Exposure
    • Prior experience working at a healthcare data vendor, ACO/CIN, payer, or healthcare SaaS company
  • AWS Ecosystem
    • Broader exposure to AWS services beyond core analytics stack