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Contract Aws Redshift Jobs (NOW HIRING)

eTeam

BI Lead/Data Modeler

BI Lead/Data Modeler Duration: 12 Months Contract Location: Newark, NJ 07102-2660 Hybrid: 2 or 3 ... • AWS Redshift performance optimization • AWS Glue, Redshift, Step Functions for data ...

Perficientcorp Inc

Sr. AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Contract Role Summary We are seeking a highly skilled AWS Data Engineering Lead with strong hands ... AWS Redshift AWS Athena S3, Glue, Lambda (nice to have but expected in ecosystem) • Advanced ...

iSpace, Inc

Database Architect- AWS

Westlake Village, CA · On-site

$67 - $86.25/hr

*** ONLY ON W2 CONTRACT, NO C2C/1099 *** Cloud Database Architect Location: Westlake Village CA ... AWS Redshift, Snowflake, Databricks, Delta Lake, Apache Iceberg. * Strong expertise in event ...

ClifyX

Python/ R Developer

Washington Crossing, PA · On-site

$50 - $69/hr

Contract /FTEPosition Job Summary: Should have experience with Python, R. Should have experience ... Preferred experience in data management on AWS Redshift. Strong written and verbal communication ...

ClifyX

AWS Architect

San Diego, CA · On-site

$68.75 - $90.25/hr

... Contract JD: * Hands on experience on AWS Big Data Services like AWS S3 / Glue / EMR / DynamoDB / ECS Fargate / Redshift / RedShift Spectrum * Hands on experience in AWS Debugging / Triaging ...

Intake IT Solutions

AWS Data Architect

Alameda, CA · On-site

$74 - $95/hr

Core skills: * AWS Redshift * ETL with Medallion architecture * Business Intelligence Optional ... Open for FTE/Contract Experience Range 15 Years Primary (Must-Have Skills)* To be Screened by TA ...

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How much do contract aws redshift jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for contract aws redshift in the United States is $54.05, according to ZipRecruiter salary data. Most workers in this role earn between $38.70 and $64.42 per hour, depending on experience, location, and employer.

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

To thrive as a Contract AWS Redshift Developer, you need expertise in data warehousing, SQL, ETL development, and a solid understanding of cloud computing, typically supported by experience with AWS services. Familiarity with AWS Redshift, Glue, S3, and relevant ETL tools, along with AWS certifications like Solutions Architect or Data Analytics, is often required. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These skills ensure efficient data management, optimized performance, and successful collaboration with stakeholders and technical teams.

What is a Contract AWS Redshift professional?

A Contract AWS Redshift professional is an expert hired on a temporary basis to manage, develop, and optimize Amazon Redshift data warehouses for organizations. They are responsible for designing, implementing, and maintaining scalable data solutions using AWS Redshift, often integrating with other AWS services. These professionals may also handle data migration, performance tuning, and ensuring data security and compliance. Their contract role allows companies to leverage specialized Redshift skills for specific projects or periods without a long-term employment commitment.

What are some common challenges faced by Contract AWS Redshift professionals and how can they be addressed?

Contract AWS Redshift professionals often encounter challenges such as optimizing complex queries, managing large-scale data migrations, and ensuring data security in multi-tenant environments. To address these, it’s helpful to stay current with best practices for performance tuning, use automated tools for migration and monitoring, and collaborate closely with DevOps and security teams. Effective communication with stakeholders is also crucial to clarify requirements and deliver scalable, reliable solutions within set timelines.

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

AspectContract Aws RedshiftData Engineer
CredentialsAWS certifications, SQL, data warehousing knowledgeComputer science degree, SQL, Python, cloud certifications
Work EnvironmentProject-based, cloud-focused, short-term contractsFull-time or contract, collaborative teams, cloud and on-premises
Industry UsageData warehousing, analytics, cloud servicesData pipeline development, database management, analytics

Contract Aws Redshift professionals focus on managing and optimizing Amazon Redshift data warehouses, often working on specific projects. Data Engineers build and maintain data pipelines and infrastructure, which may include Redshift but also covers broader data architecture. While both roles require SQL and cloud knowledge, Contract Aws Redshift roles are more specialized in data warehousing, whereas Data Engineers have a wider scope in data systems development.

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Contract Aws Redshift jobs near you
Redshift Subject Matter Expert

Redshift Subject Matter Expert

Tryfacta, Inc.

Baltimore, MD • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

About US:
Tryfacta is a leading, nationally renowned Workforce Management Solution provider for private &public sector firms across the US. We specialize in Healthcare, IT, Business Support, and Professional & Craft/Light Industrial ecosystems.
Founded in March 1996, we have a presence in all 50 States. Tryfacta has Ranked number 1 as one of the fastest-growing companies by Inc. Magazine (Inc. 5000)!
Tryfacta is certified by the Joint Commission for Healthcare Staffing Services & has numerous ISO Certifications that capture our commitment to continuous improvement.
Job Summary:
Tryfacta is seeking a Redshift Subject Matter Expert for our client in. This is a temporary contract assignment. If you meet the qualifications listed below and are interested, please Apply Now!
Role - Redshift Subject Matter Expert
Position Description: AWS Redshift Subject Matter Expert (SME) will be providing deep technical leadership, optimization, and strategic guidance for an organization's cloud data warehousing solutions, covering both Provisioned and Serverless deployments. This role requires a blend of hands-on technical skills, architectural oversight, and strong communication to ensure Redshift environments are scalable, cost-efficient, and highly performant.
1. Architectural & Strategic Leadership
  1. Solution Design: Architect, design, and implement scalable, secure, and cost-effective data warehousing solutions using both Redshift Provisioned and Redshift Serverless.
  2. Deployment Strategy: Determine the optimal deployment model (Provisioned vs. Serverless) for various workloads, considering factors like predictability, cost, concurrency, and required fine-grained control.
  3. Modernization: Lead efforts to modernize existing on-premise or cloud data warehouses (e.g., Teradata, Snowflake, etc.) to AWS Redshift, including developing migration strategies and execution plans.
  4. Integration: Define and implement integration patterns with the broader AWS ecosystem, including Amazon S3 (for Redshift Spectrum/Data Lake), AWS Glue, Amazon Kinesis, Amazon EMR, and machine learning services (Redshift ML).
2. Performance and Optimization
  1. Query Tuning: Expertly analyze, optimize, and refactor complex SQL queries for maximum performance and cost efficiency, utilizing features like Workload Management (WLM) in Provisioned clusters and capacity settings in Serverless.
  2. Design Optimization: Tune data warehouse performance by implementing best practices for data distribution keys, sort keys, and compression encodings for both Provisioned nodes (RA3) and Serverless data.
  3. Monitoring and Troubleshooting: Establish and manage advanced monitoring using Amazon CloudWatch and Redshift system tables to preemptively identify and resolve performance bottlenecks, resource contention, and system failures.
  4. Cost Management: Implement effective cost controls, managing node types/reserved instances for Provisioned clusters and defining Redshift Processing Units (RPUs) capacity and usage limits for Serverless environments to ensure predictable spending.
3. Data Governance and Operations
  1. Security: Enforce enterprise-level data security, including implementing encryption (at rest and in transit), managing access control via AWS IAM and database user management, and configuring VPC endpoints.
  2. High Availability & Disaster Recovery (HA/DR): Define and implement backup/restore strategies using snapshots, cross-region replication, and leverage the inherent HA features of Redshift Serverless and Multi-AZ for Provisioned.
  3. Data Modeling & ETL/ELT: Advise on and implement best-practice data models (e.g., Dimensional, Data Vault) and design efficient Extract, Transform, and Load (ETL)/Extract, Load, and Transform (ELT) pipelines.
Category Key Skills & Experience AWS Redshift Deep, hands-on experience with both Provisioned (RA3 nodes) and Serverless architectures. Data Warehousing Expert knowledge of data warehousing concepts, ETL/ELT methodologies, and dimensional modeling. SQL Mastery Advanced proficiency in complex SQL, DDL, and DML, with a focus on Redshift-specific commands (e.g., COPY, UNLOAD). Performance Tuning Query optimization, WLM configuration, distribution styles, sort keys, and understanding query execution plans. AWS Ecosystem Hands-on experience with core AWS services: S3, Glue, IAM, CloudWatch, Lambda, Lake Formation, and Kinesis. Programming Scripting/Automation skills using Python (for ETL/API interaction) or similar languages. Education: This position requires a Bachelor's in Computer Science, Information Systems, or a related field or equivalent work experience. (Note: A Master's degree is preferred.)
  1. General Experience: The proposed candidate must have at least three (15) years of experience in data warehousing, with at least 3 years focused specifically on AWS Redshift.
  2. Certifications: AWS Certified Data Analytics - Specialty or AWS Certified Solutions Architect - Professional is highly desirable.
  3. Communication: Exceptional ability to communicate complex technical concepts to both technical teams and executive stakeholders.
  4. Mentorship: Act as a technical mentor for Data Engineers, Administrators, and Analysts.

Tryfacta is an Equal Opportunity/Affirmative Action Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

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