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Full Time Aws Quicksight Jobs (NOW HIRING)

Senior Data Engineer - AWS & Quicksight

$108K - $147K/yr

Senior Data Engineer Experience Level: 5+ years Employment type: Full Time Location: Remote (USA ... like AWS Step Functions or Apache Airflow. * Experience managing QuickSight assets, including ...

Hybrid -- 4 days onsite, 1 day remote Type: Full-time Relocation notice -- please read before ... Contribute to reporting and analytics workflows, including AWS QuickSight * Build and maintain CI ...

New

Hybrid 4 days onsite, 1 day remote Type: Full-time Relocation notice please read before applying ... Contribute to reporting and analytics workflows, including AWS QuickSight * Build and maintain CI ...

New

Hybrid -- 4 days onsite, 1 day remote Type: Full-time Relocation notice -- please read before ... Contribute to reporting and analytics workflows, including AWS QuickSight * Build and maintain CI ...

New

Job Type Full-time Description Welcome to Interclypse, where innovation meets passion. Every team ... AWS Quicksight, PowerBI ..) * Knowledge of cloud databases (e.g., AWS RDS) Why You Will Love ...

DevOps Engineer

Baltimore, MD · Remote

$100K - $120K/yr

This is a fully remote, full-time position. We're looking for a mid to senior-level DevOps Engineer ... Build automation and operational patterns across AWS services, including RDS, Glue, and QuickSight.

Data Engineer

Washington, DC · On-site

$99K - $225K/yr

Develop and maintain AWS Lambda functions supporting ingestion and orchestration workflows ... Build and maintain dashboards and reporting assets in Amazon QuickSight, Tableau, or Power BI to ...

Experience with Amazon QuickSight * Experience defining and governing enterprise KPIs, OKRs, and ... Schedule: Full-time, Monday - Friday, 8 AM - 5 PM local time zone * Benefits: Check out our ...

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Data Engineer ETL

Charlotte, NC · On-site

$75K - $125K/yr

No C2C or third parties Fulltime W2 Prefer Charlotte NC Data Engineer Company is looking for an ... Integrate with AWS services such as S3, Lambda, Glue, and IAM to support data ingestion, processing ...

Senior Data Engineer

Berkeley, CA · On-site

$90K - $100K/yr

Contract/Full-Time About the Role We are seeking a Senior Data Engineer to join an innovative ... AWS (S3, RDS, IAM, VPC) * Apache Airflow * dbt * Docker * Git and CI/CD * Proven experience ...

... AWS data and analytics technologies including EMR, Redshift, SageMaker, Comprehend, QuickSight ... to full time employees, including a Health Savings Account (HSA) option as well as two tiers of ...

... AWS data and analytics technologies including EMR, Redshift, SageMaker, Comprehend, QuickSight ... to full time employees, including a Health Savings Account (HSA) option as well as two tiers of ...

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Full Time Aws Quicksight information

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How much do full time aws quicksight jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for full time aws quicksight 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.

What are some typical challenges faced by professionals working full time with AWS QuickSight, and how can they be addressed?

Full-time AWS QuickSight professionals often encounter challenges such as ensuring data accuracy when integrating multiple data sources, optimizing dashboard performance for large datasets, and managing user permissions securely. Addressing these challenges involves working closely with data engineering teams to establish robust data pipelines, using best practices like efficient data modeling and aggregations, and staying updated on AWS security features. Regular collaboration with stakeholders also helps ensure that dashboards meet business needs and remain user-friendly.

What is a full time AWS QuickSight professional?

A Full Time AWS QuickSight professional is someone who works primarily with Amazon QuickSight, a cloud-based business intelligence (BI) service offered by Amazon Web Services (AWS). Their main responsibilities include creating interactive dashboards, analyzing data, and generating insights to help organizations make data-driven decisions. They typically collaborate with data engineers, analysts, and business stakeholders to design, implement, and maintain BI solutions. Working full-time means they are dedicated to this role as their primary occupation, often within a company that relies heavily on AWS for its data and analytics needs.

What are the key skills and qualifications needed to thrive as a full time AWS QuickSight specialist?

To excel as a Full Time AWS QuickSight specialist, you need strong analytical skills, experience in data visualization, and proficiency in SQL and BI concepts, often supported by a degree in computer science or a related field. Familiarity with AWS QuickSight, AWS data services (like Redshift or S3), and relevant certifications such as AWS Certified Data Analytics are highly valued. Effective communication, problem-solving, and attention to detail help you translate complex data into actionable business insights for stakeholders. These skills ensure that organizations can leverage their data for informed decision-making and drive business success.
More about Full Time Aws Quicksight jobs
What cities are hiring for Full Time Aws Quicksight jobs? Cities with the most Full Time Aws Quicksight job openings:
What are the most commonly searched types of Aws Quicksight jobs? The most popular types of Aws Quicksight jobs are:
Infographic showing various Full Time Aws Quicksight job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 83% In-person, 6% Hybrid, and 11% Remote job distribution, with an average salary of $145,725 per year, or $70.1 per hour.

Senior Data Engineer - AWS & Quicksight

Quantiphi, Inc.

Remote

$108K - $147K/yr

Full-time

Posted 4 days ago


Job description

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
About Quantiphi:
Quantiphi is an award-winning, AI-First global digital engineering company that helps the world's leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies-we solve the problems that matter most to our clients.
Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries.
Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters.
We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:
  • 21 Google Cloud Partner of the Year awards in the past 10 years
  • 3 AWS AI/ML Partner of the Year awards
  • 3 NVIDIA Partner of the Year awards
  • 3 Snowflake Partner of the Year awards
  • Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms

Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators.
We are also proud to be certified as a Great Place to Work-reflecting our commitment to our people and our culture.
For more details, visit: Website or LinkedIn Page
Role: Senior Data Engineer
Experience Level: 5+ years
Employment type: Full Time
Location: Remote (USA)
Basic Qualifications (BQ):
  • Hands-on experience in building and maintaining scalable and cost-effective data pipelines, data warehouses and data lake using AWS S3, AWS Glue/Amazon EMR, AWS Lambda to ingest data from various sources (e.g., APIs, databases, flat files, etc.).
  • Expertise in implementing data modeling and data warehousing concepts to create a well-structured analytical layer on top of the data lake, optimized for querying with AWS Redshift and AWS Athena.
  • Proficiency in SQL (complex joins, window functions, query optimization) and strong programming skills in Python/PySpark for data processing and automation.
  • Ensure data quality, integrity, and reliability by implementing robust monitoring, alerting, and validation frameworks for all data pipelines.
  • Solid understanding of data modeling concepts (e.g., star/snowflake schemas, SCD) and data warehousing principles.
  • Hands-on experience with Amazon QuickSight, with a strong understanding of the latest features and capabilities.
  • Ability to understand business requirements and translate them into scalable dashboards, including KPIs, tooltips, user interactions, dashboard navigation, personas, access management, and reporting requirements.
  • Strong experience in:
  • SPICE optimization
  • Direct Query
  • Data blending
  • Custom visual creation
  • Calculated fields and parameters
  • Experience implementing Row-Level Security (RLS) and other security controls within QuickSight.
  • Ability to independently design, develop, test, and deploy production-grade QuickSight dashboards.
  • Validate dashboard functionality, KPI calculations, and data accuracy against business requirements.
  • Experience documenting dashboard design, implementation, testing, validations, and deployment activities.
  • Ability to optimize queries, datasets, and visualizations for performance and scalability.
  • Experience developing and maintaining datasets and data models for Amazon QuickSight and other BI platforms.
  • Ability to gather reporting requirements from business stakeholders and convert them into meaningful dashboards and visualizations.
  • Strong verbal and written communication skills with the ability to communicate effectively with both business and technical teams.

Other Qualifications (OQ):
  • Experience with workflow orchestration tools like AWS Step Functions or Apache Airflow.
  • Experience managing QuickSight assets, including publishing dashboards, scheduling refreshes, user administration, and access management.
  • Experience with Tableau or Power BI.
  • Proven experience migrating dashboards and reports from BI platforms such as Qlik, Tableau, or Power BI to Amazon QuickSight.
  • Experience monitoring and supporting analytics solutions in AWS environments.

What is in it for you:
  • Join one of the world's fastest-growing AI-first digital engineering companies and make a real impact at scale.
  • Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges.
  • Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents.
  • Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!