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Freelance Data Analytics Engineer Jobs in Reston, VA

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that powers Arbor's intelligence layer. You'll be the connective tissue between our production systems and ...

As The Bulwark's first Analytics Engineer, you'll build the foundation for how we use data across ... You'll connect data across subscriptions, newsletters, podcasts, video, live events, marketing ...

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... engineering, business administration, or other related discipline. Masters degree in a related ... Data Analyst teams to develop and implement the Ab Initio solution - Develop generic solutions ...

Bachelors degree in Engineering, Computer Science, Data Science or related field * 10% Domestic and ... and analytics adoption * Fluent in English, both spoken and written * Robust coding abilities ...

Bachelors degree in Engineering, Computer Science, Data Science or related field * 10% Domestic and ... and analytics adoption * Fluent in English, both spoken and written * Robust coding abilities ...

... analysis, and visualization in large-scale data driven environments • Apply software systems engineering methods and tools across the system lifecycle to large and complex data systems • Perform ...

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Freelance Data Analytics Engineer information

See Reston, VA salary details

$46.3K

$135K

$184.7K

How much do freelance data analytics engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for freelance data analytics engineer in Reston, VA is $134,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $143,000.00 per year, depending on experience, location, and employer.

What is the difference between Freelance Data Analytics Engineer vs Data Scientist?

AspectFreelance Data Analytics EngineerData Scientist
CredentialsOften requires a degree in data analysis, statistics, or related fields; certifications like Google Data Analytics or Microsoft Certified Data Analyst are commonTypically holds a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist or SAS Certified Data Scientist are common
Work EnvironmentFreelance, project-based, remote or on-site depending on client needsUsually employed full-time in organizations or research settings; some freelance roles exist but are less common
Industry UsageUsed across various industries including finance, marketing, healthcare, and e-commercePrimarily in tech, finance, healthcare, and research sectors

While both roles analyze data to extract insights, Freelance Data Analytics Engineers focus on building and maintaining data pipelines and dashboards on a project basis, whereas Data Scientists develop predictive models and advanced algorithms, often requiring deeper statistical expertise.

What are the most commonly searched types of Data Analytics Engineer jobs in Reston, VA? The most popular types of Data Analytics Engineer jobs in Reston, VA are:
What are popular job titles related to Freelance Data Analytics Engineer jobs in Reston, VA? For Freelance Data Analytics Engineer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Freelance Data Analytics Engineer jobs in Reston, VA look for? The top searched job categories for Freelance Data Analytics Engineer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Freelance Data Analytics Engineer jobs? Cities near Reston, VA with the most Freelance Data Analytics Engineer job openings:
Senior Data Visualization and Augmented Analytics Engineer

Senior Data Visualization and Augmented Analytics Engineer

Navy Federal Credit Union

Vienna, VA • On-site

Full-time

Posted 10 days ago


Navy Federal Credit Union rating

8.1

Company rating: 8.1 out of 10

Based on 272 frontline employees who took The Breakroom Quiz

59th of 148 rated financial services


Job description

Job Summary:
Navy Federal Credit Union is seeking a Senior Data Visualization and Augmented Analytics Engineer to support their Analytics Center for Enablement. This role involves designing visualization solutions, leading the integration of augmented analytics capabilities, and driving user engagement to enhance decision-making across the organization.
Responsibilities:
• Design and implement advanced data visualizations and interactive dashboards that transform complex data into clear, actionable insights, applying strong user experience principles to drive understanding and data-driven decision-making.
• Lead the adoption and integration of Augmented Analytics capabilities, including AI/ML-driven insights, natural language query (NLQ), and natural language generation like “Talk to your Data” features within enterprise BI platforms.
• Lead and evolve self-service analytics (BIaaS) enablement frameworks, providing training, guidance, and reusable assets to empower business users and improve data literacy across the organization.
• Drive enterprise adoption and engagement through Analytics User Communities (Power BI/Tableau User Group etc.), incorporating feedback to continuously improve analytics capabilities and user experience.
• Own and manage the Analytics Service Catalog, ensuring user requests are fulfilled through standardized, governed, and scalable solutions aligned with enterprise priorities.
• Lead modernization efforts by migrating legacy BI assets to enterprise platforms (Power BI/Tableau), improving performance, scalability, and alignment with enterprise data strategy.
• Establish and maintain governance practices for visualization assets, including certification, reuse, lifecycle management, and adherence to data standards.
• Maximize the value of BI solutions by ensuring strong user engagement and platform reliability — tracking usage and performance, managing access/licensing, and providing proactive support to maintain solution integrity.
• Identify opportunities for optimization, automation, and innovation across analytics platforms, user experience, and data consumption patterns.
• Establish and enforce data visualization standards and best practices to ensure consistent, high-quality, user-centric analytics experiences across platforms.
• Provide subject matter expertise in BI and analytics, guiding Agile project teams with technical leadership to drive successful solution delivery.
• Mentor team members and others through Job Rotation/Shadow or skill up program and promote best practices in data visualization, storytelling, and analytics design.
• Perform other duties as assigned.
Qualifications:
Required:
• Bachelor’s degree in computer science or related field, or the equivalent combination of education, training, and experience.
• Experience with UI/UX design principles to develop immersive, interactive, and intuitive visualizations.
• Experience in leading Analytics User Communities, presenting to various audiences, and collaboration at various levels to drive success with Analytics C4E.
• Significant experience in delivering data analytics solutions to accelerate business decisions.
• Proven expertise with using our enterprise anchor BI platforms Tableau, Power BI, or similar.
• Experience with Augmented Analytics capabilities including integration and roll out of Power BI Copilot/Fabric IQ, Tableau – Pulse/Agent/Next, Databricks Genie or similar.
• Experience working with SQL, Python for Big Data Analytics.
• Experience in documenting BI standards, training end users, and communicating with analytics user communities.
• Experience working with Agile teams in productionizing capabilities at scale ensuring high availability and performance in enterprise cloud ecosystems.
• Demonstrated ability to collaborate and work with cross-functional teams in a dynamic environment.
• Analytical mindset with a strong ability to translate complex data into actionable business insights.
• Demonstrate change management and evangelize adoption of analytics capabilities in Cloud.
• Strong communication and presentation skills and executive presence.
Preferred:
• Master’s degree in computer science or related field.
• Experience working with big data sets in Azure Data Lake, Databricks, and Fabric.
• Experience with front end design technologies to build creative widgets.
• Experience in DevOps, monitoring analytics.
• Knowledge of banking/financial industry trends, products, and services.
Company:
Since 1933, Navy Federal has grown from seven members to over 4 million members. And since that time, their vision statement has remained Founded in 1933, the company is headquartered in Vienna, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Navy Federal Credit Union employees say

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Navy Federal Credit Union logo

About Navy Federal Credit Union

Sourced by ZipRecruiter

Navy Federal Credit Union, based in Vienna, Virginia, United States, is a significant player in the financial services industry. Their official website is navyfederal.org. With its roots dating back to 1933, it was initially established to provide credit to Navy members. Over the years, Navy Federal has magnified its scope, evolving into a full-service credit union serving all branches of the military, the Department of Defense, veterans, and their families. The company’s core values include integrity, service, education, and leadership. Navy Federal aims to be the most preferred and trusted financial institution serving the military and their families.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Vienna, VA, US

Year founded

1933