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Amazon Sql Jobs (NOW HIRING)

Amazon

Sr. Process Engineer, Amazon Air

Nashville, TN

$100K - $129K/yr

In Amazon Air, process driven techniques helps us deliver smiles to both our internal and external ... SQL, and/or other data management systems) - Participate in long term planning and modeling ...

Amazon

Sr. Process Engineer, Amazon Air

Nashville, TN

$100K - $129K/yr

In Amazon Air, process driven techniques helps us deliver smiles to both our internal and external ... SQL, and/or other data management systems) - Participate in long term planning and modeling ...

SES

Python, SQL, AWS Developer

Reston, VA · On-site

$52.25 - $72/hr

Work with AWS data services, including AWS Lambda , Amazon Redshift , Apache Iceberg , and Amazon ... Advanced proficiency in SQL , including complex query development and performance optimization.

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How much do amazon sql jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for amazon sql in the United States is $64.42, according to ZipRecruiter salary data. Most workers in this role earn between $57.69 and $73.56 per hour, depending on experience, location, and employer.

What is an Amazon SQL?

An Amazon SQL job typically involves working with Amazon's database services, such as Amazon RDS, Redshift, or DynamoDB, to manage and optimize data storage, retrieval, and analysis. Professionals in this role use SQL to write queries, design schemas, and ensure database performance and security. These jobs are commonly found in data engineering, database administration, and business intelligence roles at Amazon or companies using AWS databases. Skills in SQL, AWS services, and data modeling are often required.

What are the typical responsibilities of an Amazon SQL specialist on a data engineering team?

As an Amazon SQL specialist, you’ll typically be responsible for designing, writing, and optimizing complex SQL queries, maintaining and monitoring AWS-hosted databases, and supporting data integration workflows. You may also collaborate closely with data engineers, analysts, and business stakeholders to ensure data accessibility and support reporting needs. On a daily basis, you could be troubleshooting database issues, implementing data quality checks, automating routine data tasks, and helping to implement best practices for data security and compliance. The role is dynamic, requiring both independent problem-solving and cross-functional teamwork in a collaborative, cloud-centric environment.

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

To thrive in an Amazon SQL role, you need strong proficiency in SQL programming, database design, and data analysis, usually backed by a degree in computer science or a related field. Experience with Amazon Web Services (AWS) data tools such as Amazon RDS, Redshift, and related cloud-based database management systems is highly valuable, along with certifications like AWS Certified Data Analytics. Analytical thinking, attention to detail, and effective communication are important soft skills for gathering requirements and presenting data insights. These capabilities enable you to efficiently manage large datasets, ensure data integrity, and drive data-driven decisions in a fast-paced e-commerce environment.

Are Amazon SQL jobs in demand?

Amazon SQL jobs are in high demand due to the company's extensive data infrastructure and reliance on data analysis, reporting, and database management. Skills in SQL, data warehousing, and cloud platforms like AWS increase employability in these roles, which are often available in data engineering and analytics teams.

Does Amazon use SQL?

Amazon uses SQL extensively for managing and analyzing data within its various services and platforms. Many Amazon jobs, including data analysts and database administrators, require proficiency in SQL to work with large datasets and support business operations.
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Amazon Sql jobs near you
Infographic showing various Amazon Sql job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 2% Part Time, and 10% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $134,000 per year, or $64.4 per hour.

Senior Amazon Redshift Developer

Interon IT Solutions

Chantilly, VA • Remote

Contractor

Re-posted 12 days ago

Job description

#W2 Role Job Description We are seeking an experienced Amazon Redshift / SQL Developer with strong expertise in large-scale data warehouse environments and Healthcare/Medical Claims data. The ideal candidate will have deep hands-on experience with Amazon Redshift, advanced SQL development, stored procedures, query optimization, and performance tuning. The candidate must be comfortable working with high-volume healthcare datasets and translating complex business requirements into scalable, reliable, and high-performance data solutions. Key Responsibilities Design, develop, and optimize databases and data solutions using Amazon Redshift. Develop, debug, maintain, and optimize complex Redshift Stored Procedures. Write high-performance SQL queries involving complex joins, CTEs, window functions, aggregations, and advanced SQL techniques. Perform query optimization and troubleshoot slow-running SQL queries, Redshift workloads, and ETL/ELT pipelines. Work with large-scale transactional and analytical datasets in high-volume data environments. Design and support scalable data warehouse solutions using dimensional modeling, star schemas, and snowflake schemas. Develop and maintain ETL/ELT processes integrating data from multiple heterogeneous data sources. Analyze business and technical requirements and translate them into efficient SQL and data transformation solutions. Implement Redshift performance best practices, including distribution keys, sort keys, workload management, data compression, and table optimization. Perform data validation, reconciliation, and quality checks to ensure data accuracy and integrity across multiple systems. Troubleshoot data issues and perform root cause analysis for production defects and performance problems. Collaborate with Data Engineers, Business Analysts, QA teams, and business stakeholders throughout the development lifecycle. Develop production-ready code while meeting tight project deadlines and established quality standards. Follow version control, deployment, release management, and software development best practices. Support cloud-based data solutions and integrations with AWS services related to Amazon Redshift. Work extensively with Healthcare and Medical Claims data, including claims processing, adjudication, eligibility, member and provider data, ICD and CPT codes, and healthcare reporting. Communicate technical designs, data solutions, and issues effectively to both technical and non-technical stakeholders. Required Qualifications Strong hands-on experience with Amazon Redshift, including database design, query optimization, workload management, and performance tuning. Minimum 4+ years of experience working with large-scale datasets and high-volume data environments. Expert-level experience developing and optimizing Amazon Redshift Stored Procedures. Advanced SQL development and performance tuning skills. Strong understanding of data warehousing and dimensional data modeling concepts. Hands-on experience with ETL/ELT processes and complex data transformations. Strong knowledge of Redshift distribution keys, sort keys, compression, and performance optimization techniques. Experience with data validation, reconciliation, and data quality processes. Strong Healthcare/Medical Claims domain knowledge. Experience working with claims adjudication, eligibility, provider/member data, ICD/CPT codes, and healthcare reporting. Excellent analytical, troubleshooting, and problem-solving skills. Strong written and verbal communication skills. Preferred Qualifications Experience with AWS cloud-based data ecosystems and Redshift-related AWS services. Experience with version control, CI/CD, deployment, and release management processes. Prior experience working in large-scale healthcare data warehouse or claims analytics environments.