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Aws Redshift Jobs in Washington (NOW HIRING)

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

Implement AWS data services, including S3, Glue, Step Functions, Lambda, Kinesis, EMR, Athena, Redshift, RDS, and Aurora. * Create and maintain data models, schemas, technical documentation, and data ...

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

Implement AWS data services, including S3, Glue, Step Functions, Lambda, Kinesis, EMR, Athena, Redshift, RDS, and Aurora. * Create and maintain data models, schemas, technical documentation, and data ...

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

Implement AWS data services, including S3, Glue, Step Functions, Lambda, Kinesis, EMR, Athena, Redshift, RDS, and Aurora. * Create and maintain data models, schemas, technical documentation, and data ...

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

Implement AWS data services, including S3, Glue, Step Functions, Lambda, Kinesis, EMR, Athena, Redshift, RDS, and Aurora. * Create and maintain data models, schemas, technical documentation, and data ...

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

Implement AWS data services, including S3, Glue, Step Functions, Lambda, Kinesis, EMR, Athena, Redshift, RDS, and Aurora. * Create and maintain data models, schemas, technical documentation, and data ...

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

Implement AWS data services, including S3, Glue, Step Functions, Lambda, Kinesis, EMR, Athena, Redshift, RDS, and Aurora. * Create and maintain data models, schemas, technical documentation, and data ...

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

Implement AWS data services, including S3, Glue, Step Functions, Lambda, Kinesis, EMR, Athena, Redshift, RDS, and Aurora. * Create and maintain data models, schemas, technical documentation, and data ...

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

Implement AWS data services, including S3, Glue, Step Functions, Lambda, Kinesis, EMR, Athena, Redshift, RDS, and Aurora. * Create and maintain data models, schemas, technical documentation, and data ...

Wise Equation Solutions Inc.

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 ...

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All JobsAws Redshift JobsAws Redshift Jobs in Washington

Aws Redshift information

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$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?

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Aws Redshift jobs near you
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.

AWS Cloud Data Engineer

System One

Mclean, VA • Remote

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 16 days ago

Job description

Job Title: AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model: Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact: Crystal.dinnocenti@systemone.com RESPONSIBILITIES

  • Design, build, and maintain scalable data pipelines and processing solutions within AWS cloud environments.
  • Partner with AWS Cloud DBAs and cross-functional teams to migrate data from legacy applications to AWS while ensuring performance, reliability, and security.
  • Develop ETL/ELT workflows to ingest, transform, and load data into data lakes, data warehouses, and analytical platforms.
  • Implement AWS data services, including S3, Glue, Step Functions, Lambda, Kinesis, EMR, Athena, Redshift, RDS, and Aurora.
  • Create and maintain data models, schemas, technical documentation, and data access patterns for transactional and analytical workloads.
  • Establish data quality checks, monitoring, alerting, governance controls, and compliance practices for data retention, privacy, and security requirements.
REQUIREMENTS
  • Ability to obtain a Federal Public Trust clearance.
  • Bachelor’s degree in Computer Science, Data Engineering, or a related field; four additional years of relevant experience may be substituted for a degree.
  • Minimum of 6 years of data engineering experience, including at least 3 years in AWS cloud environments.
  • Strong experience with AWS data services, including S3, Glue, DMS, Athena, Redshift, EMR, Kinesis, and Lambda.
  • Proficiency in Python, Scala, or Java for data processing and pipeline development.
  • Experience with SQL, relational databases such as PostgreSQL or Oracle, and NoSQL databases such as DynamoDB or DocumentDB.
  • Understanding of data modeling concepts for transactional and analytical workloads.
  • Experience with Infrastructure as Code tools such as Terraform, CloudFormation, or CDK, and CI/CD pipelines for data engineering workflows.
  • Strong analytical, problem-solving, collaboration, and communication skills with a focus on data quality and system reliability.
NICE TO HAVE
  • AWS Certified Data Engineer – Associate certification.
  • AWS Certified Solutions Architect or other relevant AWS certifications.
  • Experience with Apache Spark, Apache Airflow, or AWS-native orchestration tools.
  • Knowledge of data formats such as JSON, Avro, Parquet, and ORC, including compression techniques for efficient storage and processing.
  • Familiarity with Git and collaborative development practices.
  • Knowledge of container technologies, including Docker, Kubernetes, ECS, or EKS.
  • Experience with data visualization tools such as QuickSight, Tableau, or Power BI.
  • Understanding of data privacy regulations and compliance frameworks.
  • Experience tuning and optimizing distributed data processing systems.
  • Knowledge of networking, security, and IAM policies related to data engineering workflows.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#M1 #LI-CD1 Ref: #851-Rockville-S1

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About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US

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