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Full Time Aws Quicksight Jobs (NOW HIRING)

Data Engineer

Denver, CO · On-site

$110K - $120K/yr

Job Type Full-time Description Full-Time $110K - $120K Continuum is a Managed Service TV ... One cloud computing service (AWS, GCP, Azure, etc.) * Git version control (Bitbucket, GitHub, etc.

... or AWS. * Experience using digital analytics platforms such as Google Analytics to understand ... Schedule: Full-time M-F - 8 AM to 5 PM * Benefits: Check out our benefits offerings Neighborly ...

Data Engineer

Denver, CO · On-site

$110K - $120K/yr

Description: Full-Time $110K - $120K Continuum is a Managed Service TV advertising platform ... One cloud computing service (AWS, GCP, Azure, etc.) * Git version control (Bitbucket, GitHub, etc.

Data Engineer

Denver, CO · On-site

$110K - $120K/yr

Description Full-Time $110K - $120K Continuum is a Managed Service TV advertising platform - making ... One cloud computing service (AWS, GCP, Azure, etc.) * Git version control (Bitbucket, GitHub, etc.

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

As of Aug 22, 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 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.

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.
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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.

$110K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 hours ago


Job description

Job Type
Full-time
Description
Full-Time
$110K - $120K
Continuum is a Managed Service TV advertising platform - making the buying and execution of linear TV advertising easier, faster, and more effective.
Our proprietary platform is the industry's only true linear TV exchange and it connects directly into cable, broadcast, and streaming inventory, allowing us to plan, activate, and optimize campaigns end-to-end within a single system for agencies and advertisers.
We replace the manual, RFP-based buying process with an exchange model that predicts the availability and price of linear inventory - powered by automation, data, and expert media stewardship. The result: more effective reach, faster execution, and a unified view of campaign performance.
We're a team of around 80 people - independent, profitable, and proud of it. Headquartered in Denver, Colorado, with offices in New York and Cardiff, Wales, we've built a culture anchored in respect, trust, and curiosity. We invest in our people through generous benefits, meaningful profit sharing, and an environment that values both performance and perspective.
The BI Team:
The Business Intelligence team is a team of 6 highly collaborative, pragmatic, analytical individuals. We're full-lifecycle data engineers - each team member owns solutions end-to-end, from design through deployment to validation, eliminating single points of failure and ensuring seamlessness when delivering on the day-to-day and long-term projects alike, gaining the knowledge of not just specific functionalities, but all within the department. Whether it is creating and managing visualizations in our reporting platform for our customers to utilize on the front-end, engineering ETLs regarding numerous, disparate data sources feeding our dashboards and other data assets on the back-end, or supporting our operational teams with custom data processes, you will have a hand in the entirety of the BI platform!
You will report directly to a Lead Data Engineer and work closely with the VP of Data and COO to understand business needs and deliver data solutions that drive decision-making across the organization and move our product forward.
Responsibilities:
  • Engineer and own robust, scalable ETLs for cleaning and ingesting datasets
  • Build and maintain dashboards for use by internal stakeholders and external clients
  • Investigate data discrepancies across ingestion, transformation, and reporting layers, identifying root causes and implementing durable fixes
  • Automate, modularize, and improve existing data ingestions while contributing to orchestration pipelines and expanding data quality assurance
  • Materially improve and expand the company's cloud-based, data platform
  • Implement and/or refine CI/CD, IaC, automated testing, agile, and reporting strategies for the department that can scale
  • Gather requirements from external clients and internal stakeholders and translate them into actionable bodies of work for the BI team
  • Collaborate with software developers and data scientists to deliver cross-departmental solutions
  • Communicate new features and lead trainings for internal users
  • Foster and embrace a healthy culture of collaboration and feedback, strengthening the team's agile roots

Requirements
1-3 years with:
  • BI platform development and/or data engineering
  • Scripting and programming in Python
  • SQL-based databases (Redshift, Athena, SQL Server, MySQL, etc.)
  • One cloud computing service (AWS, GCP, Azure, etc.)
  • Git version control (Bitbucket, GitHub, etc.)
  • Automated tests as a core part of development workflow (unit, integration, etc.)
  • Data visualization tools (Tableau, QuickSight, Power BI, etc.)
  • Validating data accuracy and troubleshooting discrepancies across pipelines or reporting layers (e.g., reconciling source vs. destination data, root-causing anomalies, auditing for correctness, etc.)
  • Working within an agile framework (Kanban, Scrum, etc.)

Preferred Experience:
  • 1-2 years with:
  • IaC tools (CloudFormation, CDK, Terraform, etc.)
  • Building and maintaining CI/CD pipelines (Bitbucket Pipelines, Jenkins, GitHub Actions, etc.)
  • Containerization technologies (Docker, ECS, etc.)

What we offer:
The annual base salary for this position ranges from $110,000 - $120,000, and a comprehensive benefits package - with premiums fully covered by the company. Compensation is determined by role, level, and location, with individual pay further shaped by relevant skills, experience, and education or training.
  • 100% employer-paid premiums for medical, vision, dental and disability
  • Participation in employee profit-sharing bonuses (subject to company performance)
  • Life Insurance, EAP, HSA with employer contribution, Pet Insurance option
  • Unlimited PTO
  • Vacation Incentive Program
  • Hybrid work schedule 3 days in office (Highlands Ranch)
  • 401K company match

Salary Description
$110K - $120K