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Amazon Redshift Jobs in Virginia (NOW HIRING)

BI Reporting & AWS Quick Sight

Arlington, VA ยท On-site

$58.75 - $76.25/hr

Amazon Redshift * Amazon Athena * AWS Lambda * Amazon RDS * AWS Quick Sight * Implement data security, access controls, and compliance requirements within AWS. Collaboration & Support * Partner with ...

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

Sr AWS Python Developer

Reston, VA ยท 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 ...

AWS Data Engineer

Reston, VA ยท 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 ...

AWS Data Engineer - w2

Reston, VA ยท 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 ...

Informatica Developer

Mclean, VA ยท 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.

Data Engineer (Engineer IV)

Fairfax, VA ยท On-site

$117K - $140K/yr

Build and maintain data warehouses using platforms like Snowflake, Amazon Redshift, or Google BigQuery. * Optimize storage and query performance for analytical workloads. * Support the Management of ...

Cloud/AI Engineer

Arlington, VA ยท Remote

$64.25 - $85.75/hr

Experience leading or executing migrations from on-premises data warehouses to cloud-based data warehouse platforms (e.g., Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse), including data ...

Cloud/AI Engineer

Arlington, VA ยท Remote

$64.25 - $85.75/hr

Experience leading or executing migrations from on-premises data warehouses to cloud-based data warehouse platforms (e.g., Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse), including data ...

Familiarity with Amazon RedShift, Snowflake, Postgres, Microsoft SQL Server, Oracle, or equivalent database software preferred. * Familiarity with ETL coding via Python, or ETL software such as ...

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Amazon Redshift information

See Virginia salary details

$28

$56

$78

How much do amazon redshift jobs pay per hour?

As of Jul 15, 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:
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.
BI Reporting & AWS Quick Sight with Security Clearance

BI Reporting & AWS Quick Sight with Security Clearance

Tria Federal

Arlington, VA โ€ข On-site

$58.25 - $75.75/hr

Other

Medical, Life

Posted 15 days ago


Job description

Who we are: Tria Federal delivers digital services and technology solutions that support the health and safety of veterans, service members and civilians. For two decades, federal agencies have relied on Tria companies to advance their critical missions and modernize their systems, so that they can uphold their commitment to the American people. Today, we are pushing the boundaries of possibility through partnerships and investments in artificial intelligence and emerging technologies, developing solutions for the biggest challenges that government will face tomorrow. We are proud to employ and support military veterans who bring mission-first mindset, technical expertise, and leadership qualities that strengthen our work. Veterans, transitioning service members, and military spouses are strongly encouraged to apply. Job Description: We are seeking a highly skilled Data Engineer with strong Business Intelligence (BI) reporting experience to design, build, and maintain scalable data solutions that support enterprise analytics and reporting needs. The ideal candidate will have expertise in data engineering, data warehousing, ETL/ELT development, and dashboard creation using AWS Quick Sight. This role will collaborate closely with business stakeholders, analysts, and technical teams to transform data into actionable insights. Key Responsibilities Data Engineering * Design, develop, and maintain scalable data pipelines and ETL/ELT processes. * Build and optimize data models, data lakes, and data warehouses in AWS environments. * Integrate data from multiple internal and external sources while ensuring data quality and consistency. * Implement data governance, validation, monitoring, and security best practices. * Optimize database performance, query execution, and data processing workflows. BI Reporting & Analytics * Develop, maintain, and enhance interactive dashboards and reports using AWS QuickSight. * Translate business requirements into meaningful KPIs, metrics, and visualizations. * Design data models and datasets optimized for reporting and analytics. * Collaborate with business users to gather reporting requirements and provide actionable insights. * Create self-service reporting solutions for business stakeholders. * Ability to configure and manage Row-Level Security (RLS) and apply it across datasets, analyses, and dashboards. * Ability to securely embed QuickSight dashboards into web portals/applications with integrated application-level security and RLS-based access control. * Ability to create and manage QuickSight Topics and Spaces to enable natural language querying and self-service analytics for business users. * Ability to provide AI-powered insights and dashboard interactions through Amazon QuickSight Q/Generative BI capabilities. * Develop cloud-native data solutions leveraging AWS services. * Work with AWS services such as: * Amazon S3 * AWS Glue * Amazon Redshift * Amazon Athena * AWS Lambda * Amazon RDS * AWS Quick Sight * Implement data security, access controls, and compliance requirements within AWS. Collaboration & Support * Partner with business analysts, data scientists, and application teams to deliver analytics solutions. * Provide technical guidance on reporting architecture and dashboard best practices. * Troubleshoot data issues and support production reporting environments. * Document data pipelines, reporting solutions, and technical processes. Required Qualifications * Bachelorโ€™s degree in Computer Science, Information Systems, Data Engineering, or related field. * 5+ years of experience in Data Engineering, Data Warehousing, or BI Development. * Hands-on experience building and maintaining dashboards using AWS QuickSight. * Strong experience with SQL and relational databases. * Experience developing ETL/ELT pipelines using AWS Glue, Python, Spark, or similar technologies. * Strong understanding of dimensional modeling, star/snowflake schemas, and data warehousing concepts. * Experience with AWS cloud services and data analytics architecture. * Proficiency in Python and/or other scripting languages. * Experience with Git and CI/CD deployment practices. Preferred Qualifications * AWS Certifications (e.g., AWS Certified Data Engineer, AWS Certified Solutions Architect, AWS Certified Data Analytics). * Experience with Redshift, Athena, and large-scale cloud data platforms. * Knowledge of data governance, data quality frameworks, and metadata management. * Experience working in Agile/Scrum environments. * Familiarity with healthcare, federal, financial, or regulated industry reporting environments. Technical Skills Required * AWS QuickSight * SQL * Python * AWS Glue * Amazon Redshift * Amazon S3 * Amazon Athena * ETL/ELT Development * Data Modeling * Data Warehousing Preferred * Apache Spark * Lambda * Airflow * Terraform * Tableau or Power BI * Snowflake Key Competencies * Strong analytical and problem-solving skills. * Excellent communication and stakeholder engagement abilities. * Ability to translate business requirements into technical solutions. * Attention to detail and commitment to data quality. * Strong collaboration and teamwork skills. Nice-to-Have Experience * Federal government or healthcare data environments. * Building executive dashboards and KPI scorecards. * Data migration and modernization initiatives. * Real-time or near-real-time analytics solutions. Target Experience Level: Junior-Mid (5โ€“10+ years)
Primary Focus: Data Engineering, AWS Data Platform, BI Reporting, AWS Quick Sight Dashboard Development. Why Tria ?
What defines the Tria brand is more than just our dedication to excellence in our craft; itโ€™s our incredible team of dedicated, talented, and passionate people that make Tria so exceptional. As people powering possible, we are all partners in our teamโ€™s shared success. As a company that cares about people, we seek to cultivate a culture in which all can thrive personally and professionally. We offer a top-tier benefits package to invest in your physical, mental, and financial health and wellness so that you can be your best self - at work and in life. At Tria, we are growth-minded, entrepreneurial in spirit, and committed to fostering a culture of inclusion and opportunity for all. Whatever your background, your role, your department, or stage in your professional journey, here you will have opportunities to learn new skills, seize new challenges, and advance your career as we grow. California Consumer Privacy Act (CCPA) We are committed to protecting your privacy. As part of our compliance with the California Consumer Privacy Act (CCPA), we want to inform you about how we collect, use, and protect your personal information during the job application process. For more details, please review https://www.oag.ca.gov/privacy/ccpa.