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Amazon Redshift Jobs in Virginia (NOW HIRING)

Mind Ware Inc

Java FSD with Data Engineer

Reston, VA · On-site

$53.75 - $73.75/hr

Amazon EC2 * AWS Lambda * Design and implement scalable data solutions using Amazon Redshift and Amazon Aurora PostgreSQL. * Develop, optimize, and troubleshoot complex database logic using SQL and ...

Cloud BC Labs

AWS Glue Developer

Reston, VA · On-site

Amazon Redshift * SQL * Python * ETL * Data Transformation * Data Integration Responsibilities: * Implement solutions using appropriate and sanctioned AWS services. Services include AWS Glue, Athena ...

Sidram Technologies

AWS Data Engineer - w2

Reston, VA · On-site

$119K - $143K/yr

Design and optimize data storage and querying in Amazon Redshift * Write performant SQL for data transformations, validation, and reporting * Ensure data quality, monitoring, error handling, and ...

Ekcel Technologies Inc

Sr AWS Python Developer

Reston, VA · On-site

$126K - $170K/yr

Design and optimize data storage and querying in Amazon Redshift * Write performant SQL for data transformations, validation, and reporting * Ensure data quality, monitoring, error handling and ...

Sidram Technologies

AWS Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Design and optimize data storage and querying in Amazon Redshift * Write performant SQL for data transformations, validation, and reporting * Ensure data quality, monitoring, error handling, and ...

TriOptus LLC

Informatica Developer

Mclean, VA · On-site

$54.25 - $71.25/hr

Work with AWS data services such as Amazon S3, AWS Glue, and Amazon Redshift where applicable. * Implement data validation, error handling, and monitoring processes to ensure high data quality.

TriOptus LLC

Informatica Developer

Mclean, VA · On-site

$54.75 - $71.75/hr

Work with AWS data services such as Amazon S3, AWS Glue, and Amazon Redshift where applicable. * Implement data validation, error handling, and monitoring processes to ensure high data quality.

Accenture Federal Services

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Amazon Redshift, Google BigQuery, Snowflake) • Experience with Python, SQL, Spark, and PySpark • Experience with data platforms like Databricks, Palantir, and Snowflake • Familiarity with data ...

Infosys

Cloud Support Engineer

Reston, VA · On-site

$58 - $77.75/hr

... Amazon Redshift. • Collaborate with data engineers and analytics teams on ingestion, transformation, and reporting pipelines. • Support and maintain backend services using Java/Python. • ...

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All JobsAmazon Redshift JobsAmazon Redshift Jobs in Virginia

Amazon Redshift information

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How much do amazon redshift jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for amazon redshift in Virginia is $56.56, according to ZipRecruiter salary data. Most workers in this role earn between $48.61 and $63.17 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.

What is the highest paying position in Amazon?

In roles related to Amazon Redshift, senior data engineers, solutions architects, and cloud infrastructure managers tend to have the highest salaries, often exceeding six figures annually. These positions require advanced technical skills, certifications, and experience with cloud services and data warehousing tools.

What is an Amazon Redshift?

Amazon Redshift is a fully managed data warehouse service that allows organizations to analyze large datasets using SQL and business intelligence tools. It is designed for high-performance querying and integrates with AWS cloud services, requiring knowledge of database management and data modeling for effective use.

What skills are needed for Redshift?

Amazon Redshift professionals need strong skills in SQL, data warehousing concepts, and database management. Familiarity with cloud computing, ETL processes, and tools like AWS services, along with knowledge of performance tuning and security best practices, are also important for effective Redshift roles.

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.

What companies use Amazon Redshift?

Many large organizations across various industries use Amazon Redshift for data warehousing and analytics, including companies in retail, finance, healthcare, and technology. These companies leverage Redshift's scalability and integration with AWS services to manage large datasets and support business intelligence efforts.
What are popular job titles related to Amazon Redshift jobs in Virginia? For Amazon Redshift jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Amazon Redshift jobs in Virginia look for? The top searched job categories for Amazon Redshift jobs in Virginia are:
Amazon Redshift jobs near you
Java FSD with Data Engineer

Java FSD with Data Engineer

Hexaware Technologies, Inc

Reston, VA • On-site

$119K - $143K/yr

Other

Posted 12 days ago

Job description

Key Responsibilities

  • Design, build, enhance, and support Master Data Management applications and related data services. (Prefered)
  • Develop and maintain enterprise-grade applications using Java and related frameworks.
  • Build and support cloud-native microservices on AWS, leveraging services such as:
    • Amazon ECS
    • Amazon EC2
    • AWS Lambda
  • Design and implement scalable data solutions using Amazon Redshift and Amazon Aurora PostgreSQL.
  • Develop, optimize, and troubleshoot complex database logic using SQL and PL/SQL.
  • Build and maintain automated deployment pipelines using GitLab CI/CD.
  • Develop and manage cloud infrastructure using Terraform and infrastructure-as-code practices.
  • Support data ingestion, transformation, integration, and distribution patterns across enterprise platforms.
  • Collaborate with business, data management, architecture, and technology teams to understand requirements and deliver reliable solutions.
  • Support production incidents, root-cause analysis, performance tuning, and ongoing operational improvements.
  • Ensure solutions follow enterprise standards for security, scalability, availability, logging, monitoring, and compliance.
  • Participate in code reviews, technical design discussions, and release planning activities.

Required Experience

  • Experience building and supporting a Master Data Management application.
  • Strong hands-on experience with Java enterprise application development.
  • Experience designing and building cloud-native microservices in AWS.
  • Hands-on experience with AWS services, including ECS, EC2, and Lambda functions.
  • Experience working with Amazon Redshift for data warehousing and analytics workloads.
  • Experience working with Amazon Aurora PostgreSQL or PostgreSQL-based relational databases.
  • Strong database development skills using SQL and PL/SQL.
  • Experience building and managing CI/CD pipelines using GitLab.
  • Experience provisioning and managing infrastructure using Terraform.
  • Strong understanding of data integration, data quality, metadata, and enterprise data management concepts.
  • Ability to troubleshoot application, data, and infrastructure issues across distributed systems.

Preferred Qualifications

  • Experience supporting enterprise-scale data platforms or regulated business environments.
  • Familiarity with data governance, reference data, golden record management, survivorship rules, and data stewardship workflows.
  • Experience with API-based data distribution and service-oriented architecture.
  • Knowledge of AWS monitoring, logging, and security patterns.
  • Experience working in Agile delivery teams with product owners, architects, engineers, and operations teams.
  • Ability to translate business requirements into technical design and implementation plans.

Technical Skills

  • Languages: Java, SQL, PL/SQL
  • Cloud: AWS, ECS, EC2, Lambda
  • Databases / Data Platforms: Amazon Redshift, Amazon Aurora PostgreSQL, PostgreSQL
  • DevOps / IaC: GitLab CI/CD, Terraform
  • Architecture: Microservices, APIs, data integration, enterprise application design
  • Data Domain: Master Data Management, enterprise data management, data quality, data governance

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