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Remote Aws Quicksight Jobs in Virginia (NOW HIRING)

One active data, cloud, analytics, AI/ML, or data governance certification, such as CDMP, DAMA, AWS ... QuickSight, Looker, Palantir Foundry, or similar platforms. * 3+ years of experience with cloud ...

Remote Aws Quicksight information

What is a Remote AWS QuickSight?

A Remote AWS QuickSight job involves working with Amazon QuickSight, a cloud-powered business intelligence (BI) service, from a remote location. Professionals in this role are responsible for designing, developing, and managing data visualizations, dashboards, and reporting solutions using AWS QuickSight. The position typically requires strong analytical skills, experience with data sources, and the ability to collaborate with team members virtually. Remote AWS QuickSight jobs are popular in organizations that rely on cloud-based analytics and value flexible work arrangements.

What are the key skills and qualifications needed to thrive as a remote AWS QuickSight professional?

To excel as a Remote AWS QuickSight professional, you need expertise in data analytics, business intelligence concepts, and proficiency with AWS QuickSight, often supported by a degree in computer science, information systems, or a related field. Familiarity with AWS services, SQL, data visualization tools, and certifications like AWS Certified Data Analytics are typically expected. Strong analytical thinking, attention to detail, and effective communication skills distinguish top performers in this role. These competencies are crucial for transforming complex data into actionable insights and ensuring successful remote collaboration with stakeholders.

What are some common challenges faced by remote AWS QuickSight professionals, and how can they be addressed?

Remote AWS QuickSight professionals often encounter challenges such as collaborating effectively with distributed teams and ensuring data security when accessing sensitive datasets remotely. To address these, it's important to establish clear communication channels, use secure VPNs, and leverage AWS's built-in access controls. Regular check-ins with team members and staying updated on AWS QuickSight releases can also help streamline workflows and avoid miscommunication. Proactively seeking feedback and participating in virtual team meetings fosters collaboration and supports professional growth.

What is the difference between Remote Aws Quicksight vs Remote Data Analyst?

AspectRemote Aws QuicksightRemote Data Analyst
Required skillsData visualization, AWS services, SQLData analysis, SQL, Excel, visualization tools
CertificationsAWS certifications (e.g., AWS Certified Data Analytics)None mandatory, but certifications like CAP or Microsoft Data Analyst helpful
Work environmentCloud-based, primarily using AWS platformVaries; often cloud or on-premises, using various tools
Industry usageTech, finance, healthcare, any industry using AWSBroad; finance, marketing, healthcare, retail

Remote Aws Quicksight specialists focus on creating dashboards and visualizations within AWS, leveraging cloud infrastructure. Remote Data Analysts perform broader data analysis tasks across various tools and platforms. While both roles require data skills, Remote Aws Quicksight roles are more specialized in AWS cloud services and visualization, whereas Remote Data Analysts have a wider scope in data interpretation and reporting.

What are the most commonly searched types of Aws Quicksight jobs in Virginia?

The most popular types of Aws Quicksight jobs in Virginia are:

What are popular job titles related to Remote Aws Quicksight jobs in Virginia?

For Remote Aws Quicksight jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Aws Quicksight jobs in Virginia look for?

The top searched job categories for Remote Aws Quicksight jobs in Virginia are:

What cities in Virginia are hiring for Remote Aws Quicksight jobs?

Cities in Virginia with the most Remote Aws Quicksight job openings:

Infographic showing various Remote Aws Quicksight job openings in Virginia as of August 2026, with employment types broken down into 83% Full Time, 11% Part Time, and 6% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution.

Senior Data Engineer - Remote (USA)

ICF International, Inc.

Reston, VA • On-site, Remote

$110K - $149K/yr

Full-time

Posted 13 days ago


Job description

ICF is a mission-driven company filled with people who care deeply about improving the lives of others and making the world a better place. Our core values include Embracing Difference; we seek candidates who are passionate about building a culture that encourages, embraces, and hires dimensions of difference.
Our Health Engineering Systems (HES) team works side by side with customers to articulate a vision for success, and then make it happen. We know success doesn't happen by accident. It takes the right team of people, working together on the right solutions for the customer. We are looking for a seasoned Senior Data Engineer who will be a key driver to make this happen.
Responsibilities:
  • Design, develop, and maintain scalable data pipelines using Spark, Hive, and Airflow
  • Develop and deploy data processing workflows on the Databricks platform
  • Develop API services to facilitate data access and integration
  • Create interactive data visualizations and reports using AWS QuickSight
  • Builds required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies
  • Monitor and optimize the performance of data infrastructure and processes
  • Develop data quality and validation jobs
  • Assembles large, complex sets of data that meet non-functional and functional business requirements
  • Write unit and integration tests for all data processing code
  • Work with DevOps engineers on CI, CD, and IaC
  • Read specs and translate them into code and design documents
  • Perform code reviews and develop processes for improving code quality
  • Improve data availability and timeliness by implementing more frequent refreshes, tiered data storage, and optimizations of existing datasets
  • Maintain security and privacy for data at rest and while in transit
  • Other duties as assigned

Minimum Qualifications:
  • Bachelor's degree
  • 7+ years of hands-on software development experience
  • 4+ years of experience building data pipelines using Python, Java, and cloud technologies, with hands-on experience leveraging Spark and Hive for large-scale data processing.
  • Candidate must be able to obtain and maintain a Public Trust clearance
  • Candidate must reside in the US, be authorized to work in the US, and work must be performed in the US
  • Must have lived in the US 3 full years out of the last 5 years

Preferred Qualifications:
  • Experience building job workflows with the Databricks platform
  • Strong understanding of AWS products including S3, Redshift, RDS, EMR, AWS Glue, AWS Glue DataBrew, Jupyter Notebooks, Athena, QuickSight, EMR, and Amazon SNS
  • Familiar with work to build processes that support data transformation, workload management, data structures, dependency and metadata
  • Experienced in data governance process to ingest (batch, stream), curate, and share data with upstream and downstream data users.
  • Experienced in data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.
  • Demonstrated understanding using software and tools including relational NoSQL and SQL databases including Cassandra and Postgres; workflow management and pipeline tools such as Airflow, Luigi and Azkaban; stream-processing systems like Spark-Streaming and Storm; and object function/object-oriented scripting languages including Scala, C++, Java and Python.
  • Familiar with DevOps methodologies, including CI/CD pipelines (Github Actions) and IaC (Terraform)
  • Ability to obtain and maintain a Public Trust; residing in the United States
  • Experience with Agile methodology, using test-driven development.

Job Location: This position requires that the job be performed in the United States. If you accept this position, you should note that ICF does monitor employee work locations and blocks access from foreign locations/foreign IP addresses, and also prohibits personal VPN connections.
Bot and Third-Party Applications
Please note that this application must be submitted directly by the applicant for consideration. Failure to do so may result in the application being excluded for consideration. Applicants needing an accommodation for disability or religious purposes in connection with the application process should contact Candidateaccommodation@icf.com for assistance.
Working at ICF
ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.
We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy.
We will consider for employment qualified applicants with arrest and conviction records.
Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act.
Candidate AI Usage Policy
At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.
However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.
Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.
The pay range for this position based on full-time employment is:
$89,649.00 - $152,404.00
Nationwide Remote Office (US99)