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Amazon Redshift Jobs (NOW HIRING)

Mactores

AWS Data Engineer (Senior)

$108K - $147K/yr

Responsibilities : • Develop and maintain data pipelines using Amazon EMR or Amazon Glue. • Create data models and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, and Presto ...

Conflux Systems Inc

Power BI Developer

Atlanta, GA · On-site

Support Amazon Redshift, Microsoft Fabric, Azure SQL, Azure Data Factory, Synapse Analytics , and enterprise reporting platforms. * Perform production support, root cause analysis, data ...

Sonsoft Inc

Python Programmer

Redwood City, CA · On-site

Experience working with various Amazon Web Services - Amazon Lambda, Amazon Redshift, Amazon EC2, Amazon RDS etc. is highly desired Additional Information ** U.S. citizens and those authorized to ...

OpenDataJobs

Database Developer

Washington, DC · On-site

Reliable SQL, stored procedures, and views on Amazon Redshift, PostgreSQL, and SQL Server that turn raw data into something people can use. * The plumbing behind them: query tuning, S3-to-Redshift ...

Vertafore

Sr. Database Administrator

$51 - $70/hr

Manage Amazon RDS PostgreSQL, Aurora PostgreSQL, and Amazon Redshift platforms. * Lead database modernization and migration initiatives from legacy database platforms to PostgreSQL. * Implement ...

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All JobsAmazon Redshift Jobs

Amazon Redshift information

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$57

$79

How much do amazon redshift jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for amazon redshift in the United States is $57.05, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $63.70 per hour, depending on experience, location, and employer.

What is the difference between Amazon Redshift vs Data Warehouse Engineer?

AspectAmazon RedshiftData Warehouse Engineer
Primary RoleCloud-based data warehousing service for analyticsDesigning, building, and maintaining data warehouses and ETL processes
Required SkillsSQL, cloud computing, data modeling, AWS servicesSQL, data modeling, ETL tools, database management
Work EnvironmentCloud platforms, AWS ecosystemOn-premises or cloud data warehouse environments
CertificationsAWS certifications, SQL knowledgeData management certifications, SQL expertise

Amazon Redshift is a cloud-based data warehousing service focused on providing scalable analytics within the AWS ecosystem. In contrast, a Data Warehouse Engineer designs and maintains data warehouses, often working with various tools and environments. While both roles require SQL and data modeling skills, Redshift specialists focus on cloud infrastructure, whereas Data Warehouse Engineers handle broader data architecture tasks across different platforms.

Is Amazon Redshift hard to learn?

Amazon Redshift is a data warehousing service that requires understanding SQL, database concepts, and data modeling. Learning it involves gaining familiarity with cloud environments, query optimization, and performance tuning, which can take time but is manageable with structured training and practice.

What are the key skills and qualifications needed to thrive as an Amazon Redshift developer, and why are they important?

To thrive as an Amazon Redshift Developer, you need strong SQL expertise, experience with data warehousing concepts, and a background in computer science or related fields. Familiarity with AWS services (especially Redshift), ETL tools, and relevant certifications like AWS Certified Data Analytics are typically required. Problem-solving, attention to detail, and effective communication are standout soft skills in this role. These skills enable efficient data pipeline development, ensure data integrity, and support collaboration for optimized analytics solutions.

What are some common challenges faced by Amazon Redshift administrators and how can they be addressed?

Amazon Redshift administrators often encounter challenges such as optimizing query performance, managing data loads, and ensuring data security. Performance tuning requires careful management of distribution styles, sort keys, and regular vacuuming to maintain efficiency. Handling large-scale data loads can be addressed by using COPY commands and leveraging parallel processing. Collaboration with data engineers and analysts is essential to understand data usage patterns and set up appropriate monitoring and alerting. Continuous learning and staying updated with AWS enhancements can help administrators proactively resolve issues and optimize the data warehouse environment.

What is Amazon Redshift?

Amazon Redshift is a fully managed, cloud-based data warehouse service provided by Amazon Web Services (AWS). It is designed to handle large-scale data analytics and can process petabytes of structured and semi-structured data quickly and efficiently. Redshift uses SQL to query data and integrates seamlessly with various business intelligence tools, making it a popular choice for organizations looking to analyze big data. Its architecture is based on columnar storage and massively parallel processing (MPP), which enables high performance and scalability.
More about Amazon Redshift jobs
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Amazon Redshift jobs near you
Infographic showing various Amazon Redshift job openings in the United States as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $118,660 per year, or $57 per hour.

Data Analsyt (Python + AWS)

Hexaware Technologies, Inc

Atlanta, GA • On-site

Other

Posted 9 days ago

Job description

Job Role-Data Analyst
Location- Atlanta, GA
Duration-Full Time
Job Description
Data Analyst
Role Summary
We are seeking a Data Analyst to turn data into insights by building dashboards, defining metrics, and conducting analyses on AWS-based datasets. You will work primarily with SQL on Redshift/Athena, Python for analysis and automation, and BI tools to deliver accurate, actionable reporting.
Key Responsibilities
  • Translate business questions into analyses, KPIs, and dashboards.
  • Query and transform data using SQL against RDS, Oracle, Amazon Redshift and Athena.
  • Perform data profiling and validation on S3/Redshift datasets; escalate data quality issues and partner on resolution.
  • Write Python (pandas) for exploratory analysis, feature preparation, and light automation.
  • Optimize queries via appropriate partitioning, filters, and Redshift/Athena best practices.
  • Document logic, assumptions, and lineage in Confluence; manage work in Jira.
  • Create STTM Mapping document by coordinating with upstream/downstream stakeholders
  • Collaborate with data engineers on data requirements, schema changes, and data freshness SLAs.
  • Follow version control practices (Git) for SQL, notebooks, and dashboard assets.
Must-Have Skills
  • Strong SQL (CTEs, window functions, joins, query optimization basics).
  • Python for analysis (pandas, basic visualization) and working with JSON.
  • Hands-on experience with Amazon Redshift, Athena, and S3-based datasets.
  • Understanding of dimensional modeling, star schemas, and partitioned data.
  • Requirements gathering, stakeholder communication, and documentation (Confluence/Jira).
Nice-to-Have
  • Basic statistics (A/B testing, confidence intervals), Excel/Sheets power-user skills.
  • Familiarity with Glue Data Catalog concepts, data contracts, and data quality checks.
  • Build and maintain dashboards in QuickSight (or Tableau/Power BI) with consistent, well-documented metrics.

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