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Amazon Redshift Jobs in Virginia (NOW HIRING)

Beyond SOF

Data Scientist 4

Richmond, VA · On-site

Amazon Web Services (AWS), EC2, S3, RDS, VPC, EMR, SNS, IAM, Redshift, CloudWatch, SQS, Route53, CloudFront, Athena, Kinesis, QuickSight, Lambda. Statistical tools: Snowflake, Redshift, Oracle, MySQL ...

NSS

Full Stack Software Engineer

Herndon, VA · On-site

Experience with AWS services like Lambda, EC2, EMR, Redshift, Glue, S3, IAM, RDS, Aurora, DynamoDB etc. * Hands-on experience in relational databases (Oracle, PostgreSQL, RDS, Amazon Aurora, SQL ...

USM

AWS Consultant with DevOps experience

Mclean, VA · On-site

VPC, EC2, ELB, Route53, S3, CloudFormation, IAM, Redshift, OpsWorks, DirectConnect Experience with high availability and scalability in AWS Fluent in Linux (RedHat/CentOS/Amazon) administration ...

Absolute Business Solutions Corp.

DevOps Engineer

Herndon, VA · On-site

$54.25 - $74.25/hr

AWS Redshift, AWS EMR, AWS RDS, AWS Kinesis, GCP Dataproc, GCP Dataflow etc.). Clearance Required ... Experience with Amazon VPC, ELB, IAM, KMS, EC2, EMR, CloudTrail, Athena, RDS, Glue * Experience ...

RDR Inc

Full Stack Developer (Mid-Level)

Chantilly, VA · Hybrid

... Cloud (GovCloud/C2S) Familiar with Amazon Web Managed Services (AWS) JavaScript, Angular ... S3, Redshift, Redis, and Elasticsearch Familiar with technologies jQuery, ASP/.Net, NoSQL, PL/SQL ...

RDR, Inc

Full Stack Developer (Mid-Level)

Chantilly, VA · On-site

... Familiar with Amazon Web Managed Services (AWS) • JavaScript, Angular, Typescript, Node.js, ... Redshift, Redis, and Elasticsearch • Familiar with technologies jQuery, ASP/.Net, NoSQL, PL/SQL ...

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All JobsAmazon Redshift JobsAmazon Redshift Jobs in Virginia

Amazon Redshift information

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$28

$56

$78

How much do amazon redshift jobs pay per hour?

As of Jul 16, 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 AWS jobs are in high demand?

AWS-related roles such as Cloud Engineer, Solutions Architect, DevOps Engineer, and Cloud Security Specialist are in high demand. These positions often require skills in cloud infrastructure, scripting, and certifications like AWS Certified Solutions Architect or AWS Certified DevOps Engineer.

What does Amazon Redshift do?

Amazon Redshift is a data warehousing service that allows organizations to store and analyze large volumes of structured data efficiently. It enables fast query performance using columnar storage and parallel processing, making it suitable for business intelligence and analytics tasks. Data analysts and database administrators often use Redshift to support data-driven decision-making.

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 is also important, along with knowledge of performance optimization and security best practices.

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 finance, retail, 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
Infographic showing various Amazon Redshift job openings in Virginia as of July 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $117,642 per year, or $56.6 per hour.
Data Scientist 4

Data Scientist 4

Beyond SOF

Richmond, VA • On-site

Full-time

Re-posted 15 days ago

Job description

This Data Scientist position with the Professional Services Procurement Office will be an important member of the VDOT PSPO team. In this role, the Data Scientist collects and analyzes statistics and information from multiple sources to spot trends and to gain maximum insight that can give the company a competitive advantage and communicates informed conclusions and recommendations across an organization's leadership structure. Strategizes and identifies unique opportunities to locate and collect new data, explores and mines data from many angles, and determines what it means. Communicates data findings to both business and IT leaders to influence how an organization approaches and meets business challenges of an evolving customer base and changing marketplace, using strong business acumen. Finds and recommends new uses for existing data sources; designs, modifies, and builds new data processes; and builds large, complex data sets.
In addition to standard knowledge, skills and abilities for a Data Scientist, the successful candidate for this role will have experience and knowledge of procurement, preferably professional services procurement and the data related to this business need as well as procurement related reporting systems and technology.
Skills Specific to this Position:
Provide expertise to agency on data-driven decision making and strategy.
Provide expertise in specific areas, such as machine learning, predictive analytics using data and systems related to public procurement.
Leading research projects, for advanced date mining, developing algorithms, or building data pipelines related to public procurement.
Tools and Technologies:
Programming languages: SQL, Python, PySpark, Shell Scripting, PowerShell
Data visualization: Tableau Desktop & Server, Power BI, Looker, Jupyter Notebooks
Other frameworks: git, GitHub, SSH Secure Shell, Putty, XML, JSON, SQL Workbench, Big data platforms: Apache Spark, Spark SQL, Hive, HDFS, MapReduce, Azure Data Lake
Cloud platforms: Amazon Web Services (AWS), EC2, S3, RDS, VPC, EMR, SNS, IAM, Redshift, CloudWatch, SQS, Route53, CloudFront, Athena, Kinesis, QuickSight, Lambda.
Statistical tools: Snowflake, Redshift, Oracle, MySQL, Microsoft SQL Server, PostgreSQL

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