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Weekend Data Analytics Jobs in McLean, VA (NOW HIRING)

The Data Analytics Architect leads the design, integration, and governance of data systems that enable advanced analytics, operational insights, and decision support for a government C-UxS program.

In this context we are looking for a Data Analytics Specialist to join our Digital & Analytics Team in Herndon, VA . WHAT'S IN IT FOR YOU Here is a selection of some of the benefits we offer our ...

In this context we are looking for a Data Analytics Specialist to join our Digital & Analytics Team in Herndon, VA . WHAT'S IN IT FOR YOU Here is a selection of some of the benefits we offer our ...

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Weekend Data Analytics information

See McLean, VA salary details

$34.4K

$83.5K

$137.5K

How much do weekend data analytics jobs pay per year?

As of Aug 26, 2026, the average yearly pay for weekend data analytics in McLean, VA is $83,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,200.00 and $98,100.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Data Analytics vs Data Analyst?

AspectWeekend Data AnalyticsData Analyst
CredentialsBachelor's degree in data-related field, certifications like Google Data AnalyticsBachelor's or higher in data, statistics, or related fields, certifications optional
Work EnvironmentPart-time, flexible hours, often remote or on-site during weekendsFull-time, standard weekday hours, typically on-site or hybrid
Industry UsageUsed in industries needing weekend data support, such as retail or hospitalityUsed across various industries for data analysis, reporting, and insights

Weekend Data Analytics roles focus on part-time, flexible weekend work, often requiring specific certifications and catering to industries with weekend operations. Data Analysts typically work full-time during weekdays, handling broader data tasks across multiple sectors. Both roles involve data skills but differ mainly in schedule and scope.

Do data analysts work on weekends?

Data analysts typically work standard weekday hours, but they may occasionally work on weekends to meet project deadlines or analyze time-sensitive data. Weekend work is more common in roles with urgent reporting needs or in industries that operate 24/7, and it often depends on the company's policies and project requirements.

What are the most commonly searched types of Data Analytics jobs in McLean, VA?

The most popular types of Data Analytics jobs in McLean, VA are:

Data Analytics Architect

Alexandria, VA • On-site, Remote


Parsons
Civil Engineering Construction • 10K+ employees

7.7

Company rating: 7.7 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

267th of 450 rated engineering

People enjoy working here

Good employer

Recommended by students


Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

In a world of possibilities, pursue one with endless opportunities. Imagine Next!At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what's possible.

Job Description:

The Data Analytics Architect leads the design, integration, and governance of data systems that enable advanced analytics, operational insights, and decision support for a government C-UxS program. The role builds and maintains the data architecture required to fuse sensor feeds, intelligence sources, operational telemetry, and system performance data into secure, scalable, and mission-ready analytics environments. This position collaborates with engineers, operators, analysts, and cybersecurity teams to ensure data solutions align with mission needs, technical constraints, and security requirements.

Job Description:

Specific Responsibilities:

Data Architecture & Engineering

  • Design and maintain enterprise data architectures supporting C-UxS mission data, including sensor streams, radar feeds, RF signatures, telemetry, and intelligence datasets.
  • Develop data pipelines, ETL/ELT processes, and ingestion frameworks for structured, semi-structured, and unstructured data.
  • Architect cloud, hybrid, or on-premises data environments compliant with government security and accreditation standards.
  • Implement data models, schemas, and metadata structures optimized for analytics, machine learning, and real-time operational use.

Analytics & Decision Support

  • Enable advanced analytics capabilities, including threat detection models, pattern analysis, system performance metrics, and predictive analytics.
  • Partner with data scientists and analysts to operationalize models and integrate them into mission workflows.
  • Develop dashboards, analytic tools, and visualization frameworks that support leadership, operators, and interagency partners.
  • Ensure analytic outputs are accurate, timely, and aligned with mission priorities.

Data Governance & Security

  • Establish data governance policies, data quality standards, and lifecycle management processes.
  • Ensure compliance with classification guidelines, OPSEC, cybersecurity requirements, and cross-domain data transfer rules.
  • Coordinate with cybersecurity teams to implement secure architectures, access controls, and monitoring.
  • Maintain authoritative data catalogs, lineage documentation, and audit trails.

Program Integration & Stakeholder Engagement

  • Work closely with engineering, intelligence, and operational teams to understand mission needs and translate them into data requirements.
  • Support test events, demonstrations, and field operations by ensuring data capture, storage, and analysis capabilities are mission-ready.
  • Provide technical guidance to leadership on data strategy, emerging technologies, and system modernization.
  • Collaborate with interagency partners, industry vendors, and integrators to align data architectures across systems and organizations.

Education and Typical Experience

  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field; advanced degree preferred plus 7+ years of experience.
  • Extensive experience designing and implementing data architectures in technical, defense, aerospace, or government environments.
  • Proficiency with modern data engineering tools and frameworks (e.g., SQL/NoSQL databases, data lakes, streaming platforms, cloud services).
  • Strong understanding of analytics, machine learning workflows, and operational data requirements.
  • Experience with secure system design, cybersecurity principles, and government accreditation processes.
  • Ability to obtain and maintain a security clearance (Secret, TS/SCI, or program-specific requirement).

Specialized Knowledge/Skills Requirements

  • Experience with C-UxS, radar systems, RF analytics, or sensor fusion.
  • Familiarity with DoD or DHS data standards, tactical data links, and operational architectures.
  • Experience with real-time data processing, edge computing, or distributed systems.
  • Knowledge of geospatial data, intelligence data formats, or multi-INT fusion.
  • Background in DevSecOps, containerization, or infrastructure-as-code.

Licenses and Certifications

  • FAA Part 107 Remote Pilot Certification (required)

Physical Requirements / Working Conditions

  • Full-time, 40-hour workweek with flexibility for mission requirements.
  • Travel: Candidates should be willing to travel / TDY away from their home location for up to 30% of a typical work year, potentially to international diplomatic facilities and high-threat environments. Typical deployments are expected to be 7-30 days, however candidates should be willing support deployments up to 90 days in special circumstances
  • Physical requirements can include walking, climbing, crawling through small spaces, and standing or sitting for long periods of time.
  • Must meet most stringent country medical clearance requirements. Position requires adherence to approved vaccination protocols as determined by location.

Security Clearance Requirement:

An active Secret security clearance is required for this position.This position is part of our Federal Solutions team.The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what's next to deliver the solutions our customers need now.Salary Range: $112,200.00 - $196,400.00We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest-APPLY TODAY!

Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer tohttps://www.parsons.com/fraudulent-recruitment/.



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