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Junior Aws Redshift Jobs (NOW HIRING)

Sr. AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

... Mentor and guide junior data engineers and enforce engineering excellence Required Skills ... AWS Redshift AWS Athena S3, Glue, Lambda (nice to have but expected in ecosystem) • Advanced ...

AWS Data Architect

Torrance, CA · On-site

$67.50 - $88.75/hr

... RDS Redshift AWS DMS EMR Glue Lambda S3 and Step Functions to enhance data integration and ... junior data engineers and architects Collaborate with stakeholders to define data strategy ...

... Snowflake, AWS Redshift, or Google BigQuery) to ensure optimal structure for media reporting ... Mentor and guide junior developers on data storytelling, dashboard design principles, SQL ...

Nexus IT Group is seeking a Junior to Midlevel Software Engineer eager to learn and contribute to ... AWS Redshift and SQL Server to support data pipelines, reporting, and platform operations. • ...

Software Dev Engineer III, Redshift

East Palo Alto, CA · On-site

$67.75 - $91/hr

... junior engineers through design reviews, code reviews, and technical guidance Raise the bar on ... Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud ...

Lead BI/Data/Web Developer

New York, NY · On-site

$130K - $155K/yr

... Snowflake, AWS Redshift, or Google BigQuery) to ensure optimal structure for media reporting ... Mentor and guide junior developers on data storytelling, dashboard design principles, SQL ...

AWS Data Engineer

Alameda, CA · On-site

$129K - $155K/yr

Proficiency in AWS services (Glue, Redshift, S3, Lambda, MWAA, etc.), SQL, Python, and ETL tools ... Proven experience in leading data engineering projects and mentoring junior Cloud BC Labs Inc is a ...

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Junior Aws Redshift information

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$19K

$52.5K

$88K

How much do junior aws redshift jobs pay per year?

As of Jul 26, 2026, the average yearly pay for junior aws redshift in the United States is $52,462.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,000.00 and $57,500.00 per year, depending on experience, location, and employer.

What are some common challenges a Junior AWS Redshift professional might face when managing large datasets?

As a Junior AWS Redshift professional, you may encounter challenges related to efficiently loading and transforming large volumes of data, optimizing query performance, and managing costs associated with storage and compute resources. It's also common to work closely with data engineers and analysts to troubleshoot data pipelines and ensure data integrity. Gaining familiarity with Redshift best practices, such as distribution styles, sort keys, and workload management, will help you address these challenges and collaborate effectively within your team.

What does a Junior AWS Redshift professional do?

A Junior AWS Redshift professional assists in managing and maintaining Amazon Redshift data warehouses. Their responsibilities typically include loading and transforming data, monitoring system performance, writing and optimizing SQL queries, and supporting data analytics teams. They often work under the supervision of senior engineers and help troubleshoot issues, ensure data security, and participate in routine maintenance tasks. This role is ideal for those starting their cloud data engineering careers and looking to gain experience with scalable, cloud-based data solutions.

What are the key skills and qualifications needed to thrive as a Junior AWS Redshift Engineer, and why are they important?

To thrive as a Junior AWS Redshift Engineer, you need a solid understanding of SQL, data modeling, and cloud computing fundamentals, along with a bachelor's degree in computer science or a related field. Familiarity with AWS services—especially Redshift, S3, and IAM—as well as experience using ETL tools and basic knowledge of data warehousing concepts are typically required. Strong analytical thinking, attention to detail, and effective communication help you solve data issues and collaborate with team members. These skills and qualifications are crucial for maintaining efficient data pipelines, ensuring data integrity, and supporting scalable analytics solutions.

What is the difference between Junior Aws Redshift vs Junior Data Engineer?

AspectJunior Aws RedshiftJunior Data Engineer
Required CertificationsAWS Certified Data Analytics - Specialty, AWS Cloud PractitionerNone mandatory, often AWS or data-related certifications
Work EnvironmentFocus on data warehousing, database management, and query optimization within AWSBroader data pipeline tasks, including ETL, data modeling, and infrastructure setup
Industry UsagePrimarily in cloud data analytics and warehousing projectsAcross various data-driven roles, including analytics, data science, and infrastructure

Junior Aws Redshift roles focus on managing and optimizing data warehouses in AWS, while Junior Data Engineers handle broader data pipeline tasks. Both roles require some AWS knowledge, but Redshift specialists concentrate on database performance and queries, whereas Data Engineers work on end-to-end data solutions.

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What cities are hiring for Junior Aws Redshift jobs? Cities with the most Junior Aws Redshift job openings:
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Infographic showing various Junior Aws Redshift job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $52,462 per year, or $25.2 per hour.
Information Technology_USA - USA_Engineer

Information Technology_USA - USA_Engineer

Real Soft, Inc.

Jacksonville, FL • On-site

$106K - $127K/yr

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Job description

LOCAL to Naperville,IL ONLY!
Role Descriptions: Role OverviewWe are looking for a Junior AWS Data Engineer to support the design| development| and maintenance of scalable data pipelines and cloud-based data solutions on Amazon Web Services (AWS). The ideal candidate will work under the guidance of senior data engineers and contribute to building reliable ETL processes that enable data-driven decision-making.This role is well-suited for candidates with a strong foundation in Python| SQL| and AWS data services| who are eager to learn and grow in a cloud data engineering environment.Key ResponsibilitiesAssist in the development and maintenance of ETLdata pipelines using AWS services such as AWS Glue| S3| Redshift| and LambdaSupport data ingestion| transformation| and validation from multiple structured and semi-structured data sourcesWrite and optimize SQL queries for data transformation and analysisDevelop basic Python PySpark scripts for data processing and automationParticipate in data quality checks| monitoring| and basic troubleshooting of data pipelinesCollaborate with senior engineers| analysts| and stakeholders to understand data requirementsFollow established coding standards| security practices| and data governance guidelinesAssist in documentation of data pipelines| processes| and technical designsRequired Skills QualificationsBachelors degree in Computer Science| Information Technology| Engineering| or a related field02 (or up to 3) years of experience in data engineering| data development| or cloud-based projectsWorking knowledge of AWS servicesS3| AWS Glue| Redshift| Lambda (at least 23 of these)Proficiency in SQL and basic-to-intermediate PythonFamiliarity with ETL concepts| data warehousing| and relational databasesUnderstanding of basic cloud concepts and distributed systemsExperience with Git or any version control system
Essential Skills: Role OverviewWe are looking for a Junior AWS Data Engineer to support the design| development| and maintenance of scalable data pipelines and cloud-based data solutions on Amazon Web Services (AWS). The ideal candidate will work under the guidance of senior data engineers and contribute to building reliable ETL processes that enable data-driven decision-making.This role is well-suited for candidates with a strong foundation in Python| SQL| and AWS data services| who are eager to learn and grow in a cloud data engineering environment.Key ResponsibilitiesAssist in the development and maintenance of ETLdata pipelines using AWS services such as AWS Glue| S3| Redshift| and LambdaSupport data ingestion| transformation| and validation from multiple structured and semi-structured data sourcesWrite and optimize SQL queries for data transformation and analysisDevelop basic Python PySpark scripts for data processing and automationParticipate in data quality checks| monitoring| and basic troubleshooting of data pipelinesCollaborate with senior engineers| analysts| and stakeholders to understand data requirementsFollow established coding standards| security practices| and data governance guidelinesAssist in documentation of data pipelines| processes| and technical designsRequired Skills QualificationsBachelors degree in Computer Science| Information Technology| Engineering| or a related field02 (or up to 3) years of experience in data engineering| data development| or cloud-based projectsWorking knowledge of AWS servicesS3| AWS Glue| Redshift| Lambda (at least 23 of these)Proficiency in SQL and basic-to-intermediate PythonFamiliarity with ETL concepts| data warehousing| and relational databasesUnderstanding of basic cloud concepts and distributed systemsExperience with Git or any version control system
Desirable Skills:
Keyword:
Skills: Digital : Amazon Web Service(AWS) Cloud Computing~Digital : Python Web Frameworks~MySQL
Experience Required: 6-8, Project Code :