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Aws Redshift Jobs in Washington (NOW HIRING)

AWS Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Role: AWS Data Engineer Location- Reston, VA( In Person Interview at Herndon VA ) Duration ... Design and optimize data storage and querying in Amazon Redshift * Write performant SQL for data ...

AWS Cloud Architect

Mclean, VA · On-site

$66.50 - $87.25/hr

... Aurora, Amazon Redshift, Amazon DynamoDB, Amazon S3, AWS Glue, Amazon Athena, AWS Database Migration Service, and related monitoring and security services. • Define database patterns for ...

AWS Data Engineer - w2

Reston, VA · On-site

$119K - $143K/yr

Role: AWS Data Engineer Location- Reston, VA( In Person Interview at Herndon VA ) Duration ... Design and optimize data storage and querying in Amazon Redshift * Write performant SQL for data ...

Sr AWS Python Developer

Reston, VA · On-site

$126K - $170K/yr

Sr AWS Python Developer (2 positions) Location- Reston, VA (In person Client interview) day one ... Design and optimize data storage and querying in Amazon Redshift * Write performant SQL for data ...

... AWS Redshift, DynamoDB, Salesforce.com - Experience with metadata manager and business glossary - Expert SQL query skill in Oracle and SQL Server for any analysis -Experience with Informatica ...

Showing results 41-60

Aws Redshift information

See Washington salary details

$44

$68

$101

How much do aws redshift jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for aws redshift in Washington is $68.48, according to ZipRecruiter salary data. Most workers in this role earn between $55.00 and $78.94 per hour, depending on experience, location, and employer.

What is an AWS Redshift?

An AWS Redshift job typically involves managing, optimizing, and maintaining Amazon Redshift, a cloud-based data warehousing service. Responsibilities may include designing efficient data models, writing complex SQL queries, monitoring cluster performance, and ensuring data security. Professionals in this role work with ETL processes, data migration, and integration with other AWS services. Strong skills in SQL, database administration, and cloud computing are essential.

What are some common challenges faced in an AWS Redshift role?

A key challenge in an AWS Redshift role involves optimizing query performance and managing large-scale data migrations to ensure quick and reliable access to data. You may also face complex troubleshooting scenarios, such as identifying bottlenecks or configuring security and access controls in a fast-evolving cloud environment. Close collaboration with data engineers, analysts, and architects is often required to align data solutions with business goals. Successfully overcoming these challenges can significantly improve data-driven decision making and organizational efficiency.

What are the key skills and qualifications needed to thrive in the AWS Redshift position, and why are they important?

To excel in an AWS Redshift role, you need a strong background in data warehousing, database administration, and SQL development, often supported by a degree in computer science or a related field. Familiarity with AWS services, especially Redshift, as well as ETL tools and certifications such as AWS Certified Solutions Architect or AWS Certified Big Data are highly beneficial. Strong problem-solving, analytical, and communication skills help you interpret data needs and collaborate with cross-functional teams. These capabilities ensure efficient management, optimization, and secure handling of large-scale data environments in cloud-based architectures.

What are the most commonly searched types of Aws Redshift jobs in Washington?

The most popular types of Aws Redshift jobs in Washington are:

What are popular job titles related to Aws Redshift jobs in Washington?

For Aws Redshift jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Aws Redshift jobs in Washington look for?

The top searched job categories for Aws Redshift jobs in Washington are:

Infographic showing various Aws Redshift job openings in Washington as of August 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $142,445 per year, or $68.5 per hour.

Data Engineer 3 - TS clearance required - Wash DC area

Bow Wave LLC

Arlington, VA • On-site

$100 - $125/hr

Other

Posted 16 days ago


Job description

Education Requirement: Bachelor's Degree

Key Responsibilities
  • Design, develop, and maintain scalable ETL pipelines for ingesting, transforming, and loading structured and unstructured datasets.
  • Analyze complex data structures and source-to-target mappings to identify opportunities for workflow optimization and automation.
  • Monitor and ensure data accuracy, consistency, and integrity across systems and platforms.
  • Implement data migration strategies to support application modernization and transitions across platforms or cloud environments.
  • Collaborate with analysts, data scientists, developers, and business partners to translate requirements into effective data engineering solutions.
  • Monitor pipeline performance, troubleshoot operational issues, and enhance reliability, scalability, and efficiency.
  • Document data flows, transformation logic, and operational procedures for maintainability and knowledge sharing.
Required Skills & Experience
  • 2+ Years Professional Experience
  • Hands-on experience with data analysis, ETL development, and data migration.
  • Proficiency in SQL, including writing complex queries, transformations, and performance tuning.
  • Familiarity with Python for data manipulation, scripting, and workflow automation.
  • Experience with ETL frameworks or orchestration tools such as Apache Airflow, Talend, dbt, or similar.
  • Understanding of data warehousing principles including dimensional modeling and staging architecture.
  • Exposure to cloud-based data platforms such as AWS Redshift, Google BigQuery, Azure SQL, or similar environments.
Preferred Qualifications
  • Experience with cloud ecosystems such as AWS, Azure, or Google Cloud Platform.
  • Knowledge of big data technologies (Hadoop, Spark, or distributed processing frameworks).
  • Exposure to data visualization tools (Power BI, Tableau, Looker) and version control systems (e.g., Git).
  • Experience designing automated data workflows or integrating workflow orchestration tools.
Core Skills & Competencies
  • ETL pipeline development & optimization
  • SQL & Python for data processing
  • Data modeling and profiling
  • Understanding of data warehousing concepts
  • Cross-functional collaboration
  • Problem-solving & root cause analysisAbility to document technical processes clearly
  • Continuous improvement mindset
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