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Amazon Redshift Jobs in Cincinnati, OH (NOW HIRING)

Omm IT Solutions

Database Architect

Woodlawn, KY · On-site

$120 - $155/hr

Utilize the AWS database and data processing services, including Amazon RDS, AuroraDB, DynamoDB, Redshift, ElastiCache, EMR, and Neptune. * Configure, launch, and manage EMR clusters, optimizing for ...

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$27

$54

$76

How much do amazon redshift jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for amazon redshift in Cincinnati, OH is $54.78, according to ZipRecruiter salary data. Most workers in this role earn between $47.07 and $61.15 per hour, depending on experience, location, and employer.

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 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 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 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.

Is Amazon Redshift hard to learn?

Amazon Redshift is a data warehousing service that requires understanding SQL, database concepts, and cloud infrastructure. Learning it involves gaining familiarity with data modeling, query optimization, and AWS tools, which can take several weeks to months depending on prior experience with databases and cloud platforms.

What are popular job titles related to Amazon Redshift jobs in Cincinnati, OH?

For Amazon Redshift jobs in Cincinnati, OH, the most frequently searched job titles are:

What job categories do people searching Amazon Redshift jobs in Cincinnati, OH look for?

The top searched job categories for Amazon Redshift jobs in Cincinnati, OH are:

Amazon Redshift jobs near you
Infographic showing various Amazon Redshift job openings in Cincinnati, OH as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 49% In-person, and 51% Remote job distribution, with an average salary of $113,942 per year, or $54.8 per hour.

Database Architect

Omm IT Solutions

Woodlawn, KY • On-site

$120 - $155/hr

Other

Re-posted 10 days ago

Job description

Permanent W-2 Employee / Corp2Corp Contractor | Omm IT Solutions | United States

Posted On 08/24/2026

Job Information

Start Date 07/26/2026 12:00 AM

Compensation Negotiable

IT Services

Work Authorization Authorized to work in USA

Background Check/Public Trust Clearance US Public Trust Clearance

Job Opening ID Omm2981J

State/Province Maryland

City Woodlawn

21207

Job Description

PLEASE NOTE:

  • IT IS 100% ON-SITE POSITION IN WOODLAWN
  • The selected candidate must be able to obtain and maintain a public trust clearance
  • The selected candidate must be willing to work on-site in Woodlawn, MD, 5 days a week

Key Required Skills:

Database architecture experience with AWS, Snowflake, SQL, and automation and scripting.

DESCRIPTION:

  • Utilize the AWS database and data processing services, including Amazon RDS, AuroraDB, DynamoDB, Redshift, ElastiCache, EMR, and Neptune.
  • Configure, launch, and manage EMR clusters, optimizing for performance and cost, and integrating with various data sources.
  • Architect scalable, high-performance, and secure database solutions.
  • Integrate databases with other AWS services such as Lambda, S3, EC2, and Glue.
  • Utilize AWS security best practices (IAM, encryption, VPC, security groups) and compliance requirements for data storage.
  • Design backup, disaster recovery, high availability, and failover solutions (Multi-AZ, read replicas).
  • Troubleshoot AWS-related issues and incidents.
  • Design, implement, and manage virtual data warehouses in Snowflake.
  • Write complex SQL queries for data analysis, transformation, and reporting.
  • Optimize queries; manage caching, clustering, and leveraging auto-scaling to handle workloads.
  • Ensure compliance with SSA security, privacy, and data management policies.
  • Brief management, customer, team, or vendors using written or oral skills at appropriate technical level for the audience.
  • Provide guidance/support to other junior/mid-level developers.
  • All other duties as assigned or directed.
Requirements

Skills Requirements
BASIC QUALIFICATION

  • Bachelor's Degree in Computer Science, Mathematics, Engineering or a related field; Masters or Doctorate degree may substitute for required experience
  • 7+ years as a Database Architect.
  • Experience in AWS database and data processing services, including Amazon RDS, AuroraDB, DynamoDB, Redshift, ElastiCache, EMR, and Neptune.
  • Knowledgeable in AWS security best practices (IAM, encryption, VPC, security groups) and compliance requirements for data storage.
  • Strong troubleshooting skills for AWS related issues and incidents.
  • Skilled in optimizing queries, managing caching, clustering, and leveraging auto-scaling to handle workloads.
  • Proficient in automation and scripting (CloudFormation, Terraform, AWS CLI, Python, Bash, PowerShell) for database and workflow management.

REQUIRED SKILLS

  • killed in both relational and NoSQL database management, data modeling, normalization, and schema design.
  • Experienced in configuring, launching, and managing EMR clusters, optimizing for performance and cost, and integrating with various data sources.
  • Skilled in designing backup, disaster recovery, high availability, and failover solutions (Multi-AZ, read replicas).
  • Advanced skills in writing complex SQL queries for data analysis, transformation, and reporting.

AWS Experience:

  • Proven ability to architect scalable, high-performance, and secure database solutions, with proficiency in query optimization, indexing, caching, and performance tuning using AWS tools.
  • Experienced in integrating databases with other AWS services such as Lambda, S3, EC2, and Glue.
  • Adept at securing AWS clusters, managing IAM roles, implementing encryption, and monitoring jobs using AWS tools (CloudWatch, CloudTrail).

Snowflake Experience:

  • Proficient in designing, implementing, and managing virtual data warehouses in Snowflake, with a strong understanding of micro-partitions.
  • Experienced in schema design, normalization, and building efficient data structures in Snowflake.
  • Familiar with data ingestion, transformation, and loading using Snowflake’s features and integration tools.
  • Knowledgeable in Snowflake’s role-based access control, data encryption, and security best practices.
  • Experienced in integrating Snowflake with BI tools (Tableau, Power BI) and using Python for data pipelines and machine learning applications.

DESIRED SKILLS

  • Experience identifying requirements, researching options, designing, and implementing solutions at a leadership level on project work.
  • Experience scripting in a Linux environment to automate ETL solutions and data migration jobs.
  • Understand and apply quality techniques and practices (automated unit testing, Test Driven Design/Development, performance analysis, continuous integration)
  • Ability to assist with architectural tactical thinking, information solutions and road maps to drive architectural recommendations.
  • Detail oriented and committed to consistently completing repetitive production-like tasks on-time and error-free.
  • Prior experience working in a federal agency or public sector environment.
  • Effective communication skills for working with cross-functional teams, including data scientists, analysts, and business stakeholders.
  • Ability to translate technical concepts into non-technical terms for business stakeholders.
  • Ability to manage multiple projects, priority tasks, and deliver within deadlines
Education/Work Experience

Bachelor's Degree in Computer Science, Mathematics, Engineering or a related field; a Master's or Doctorate degree may substitute for required experience

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