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Aws Athena Jobs (NOW HIRING)

AWS data engineer

Austin, TX · On-site

$113K - $136K/yr

The primary responsibilities include working on the backend with Indeed tools, which involves managing data lakes, AWS Athena, Presto, Trino, iQL, S3, and orchestration frameworks like Airflow and ...

CA

$144K - $190K/yr

Must have strong familiarity with public cloud infrastructure, particularly AWS (including native tools like AWS Glue, AWS S3, and AWS Athena). * Strong familiarity with Agile software development ...

IL

$126K - $166K/yr

Must have strong familiarity with public cloud infrastructure, particularly AWS (including native tools like AWS Glue, AWS S3, and AWS Athena). * Strong familiarity with Agile software development ...

$138K - $182K/yr

Must have strong familiarity with public cloud infrastructure, particularly AWS (including native tools like AWS Glue, AWS S3, and AWS Athena). * Strong familiarity with Agile software development ...

ETL/Data Developer

Malvern, PA · On-site

$50 - $65.50/hr

Skilled in using AWS tools such as Redshift, Athena, and Glue The pipelines are already created so they will not be building data pipelines. The resource will be "editing and customizing the ...

GA

$117K - $155K/yr

Must have strong familiarity with public cloud infrastructure, particularly AWS (including native tools like AWS Glue, AWS S3, and AWS Athena). * Strong familiarity with Agile software development ...

Data Engineer in Sunnyvale CA

Sunnyvale, CA · On-site

$134K - $161K/yr

Should be familiar with modern data platforms like Apache Presto or AWS Athena, and workflow tools like Apache Airflow. Engineers will write data collection scripts, aggregation algorithms, and ...

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Aws Athena information

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$10

$70

$95

How much do aws athena jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for aws athena in the United States is $70.06, according to ZipRecruiter salary data. Most workers in this role earn between $62.26 and $81.73 per hour, depending on experience, location, and employer.

Is Athena better than Redshift?

As an AWS Athena professional, understanding the differences between Athena and Redshift is key. Athena is a serverless query service ideal for ad-hoc analysis of data stored in S3, while Redshift is a managed data warehouse suited for complex, large-scale analytics with dedicated clusters. The choice depends on workload requirements, data size, and performance needs.

What exactly is AWS Athena?

AWS Athena is an interactive query service that allows users to analyze data stored in Amazon S3 using standard SQL. It is serverless, meaning no infrastructure management is required, and is commonly used by data analysts and data engineers to perform quick, ad-hoc queries on large datasets. Familiarity with SQL and cloud data environments is beneficial for roles involving AWS Athena.

What are the key skills and qualifications needed to thrive as an AWS Athena Specialist, and why are they important?

To thrive as an AWS Athena Specialist, you need a strong background in SQL, data analysis, and cloud computing, often supported by experience with AWS services and a relevant technical degree or certification. Familiarity with AWS Athena, S3, Glue, IAM, and tools like AWS CLI or SDKs is typically required. Analytical thinking, problem-solving skills, and effective communication help specialists translate business needs into efficient data queries and solutions. These skills are crucial for optimizing data workflows, ensuring secure access, and enabling actionable insights from large datasets in cloud environments.

Is AWS Athena paid?

AWS Athena is a pay-per-query service, meaning you are charged based on the amount of data scanned during each query. Costs can vary depending on query complexity and data size, and users should monitor usage to manage expenses effectively.

How does an AWS Athena specialist typically collaborate with data engineers and analysts on a project?

As an AWS Athena specialist, you’ll often work closely with data engineers to define and optimize the structure of data stored in Amazon S3, ensuring efficient query performance. Collaboration with data analysts is also key, as you help them write and troubleshoot SQL queries to extract insights from large datasets. Clear communication and an understanding of both data architecture and business requirements are essential for success in this role. It's common to participate in regular meetings to align on data availability, query optimization, and reporting needs.

What is the difference between Aws Athena vs Data Analyst?

AspectAws AthenaData Analyst
Primary RoleServerless query service for analyzing data stored in S3Interprets data, creates reports, and provides insights
Required SkillsSQL, cloud services, data queryingSQL, data visualization, statistical analysis
Work EnvironmentCloud platform, data lakesBusiness or research environments, often in offices
CertificationsAWS certifications (e.g., AWS Certified Data Analytics)Often no formal certification, but data analysis certifications are common

While Aws Athena is a cloud-based data querying service, Data Analysts focus on interpreting data and creating insights. Both roles require SQL skills, but Athena emphasizes cloud and data lake knowledge, whereas Data Analysts focus on data interpretation and visualization. They often work together in data-driven organizations to analyze and utilize data effectively.

What is AWS Athena?

AWS Athena is an interactive query service provided by Amazon Web Services that allows you to analyze data directly in Amazon S3 using standard SQL. You don't have to manage any servers or infrastructure; Athena is serverless and automatically scales to accommodate your queries. It integrates with a variety of AWS services and supports a wide range of data formats, making it ideal for ad-hoc querying and data analysis. You are only charged for the queries you run, based on the amount of data scanned, which makes it cost-effective for analyzing large datasets.

What AWS jobs are in high demand?

AWS-related roles such as Cloud Engineer, Solutions Architect, Data Engineer, and DevOps Engineer are in high demand due to the widespread adoption of cloud services. These positions often require skills in AWS services, scripting, and certifications like AWS Certified Solutions Architect or AWS Certified Data Analytics. The demand is driven by organizations migrating to cloud infrastructure and seeking expertise in cloud architecture, security, and data management.
Infographic showing various Aws Athena job openings in the United States as of June 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $145,725 per year, or $70.1 per hour.
Product Support Engineer

Product Support Engineer

Inherent Technologies

Chandler, AZ • Remote

Other

Posted 27 days ago


Job description

Basic qualifications:

  • 5+ years of software development, or 5+ years of technical support experience
  • Experience troubleshooting and debugging technical systems
  • Experience troubleshooting and documenting findings
  • Bachelor's degree in computer science, Engineering, or a related technical field, or equivalent work experience
  • Knowledge of AWS, Varicent ICM, ETL, SQL based technologies
  • Demonstrable understanding of web services, data systems, technical workflows, and software development lifecycle


Preferred Qualifications:

  • 5+ years of software development, or 5+ years of technical support experience
  • Experience on ETL based system, SQL
  • Experience using AWS tools, including AWS CloudWatch, AWS S3, AWS EMR, AWS Lambda, AWS Glue, AWS Athena.
  • Experience on Varicent, SAP Callidus, HANA (optional)
  • Experience supporting large-scale enterprise applications (whether internal or external facing)
  • Experience on Security, SOX Compliance regulations.
  • 2+ years of experience writing SQL queries, scripts in programming languages such as Java, Python, etc.
  • Well versed on ITIL processes.
  • Well Versed on Agile software processes and methodologies.
  • Good written and communication skills.
  • Cross team co-ordination skills to resolve issues.
  • Knowledge on networking concepts.

Ability to identify performance issues in enterprise application