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Freelance Data Analytics Engineer Jobs in Reston, VA

Axon

Senior Data Analytics Engineer

Sterling, VA

Your Impact Axon seeking a well-versed Data Analytics Engineer with expertise in SQL Server Management Studio (SSMS), Power BI, and/or SSRS to support and enhance analytics for Axon software ...

Axon

Senior Data Analytics Engineer

Sterling, VA · On-site

Your Impact Axon seeking a well-versed Data Analytics Engineer with expertise in SQL Server Management Studio (SSMS), Power BI, and/or SSRS to support and enhance analytics for Axon software ...

SAP

SAP NS2 Data Analytics Engineer

Herndon, VA · Hybrid

$117K - $141K/yr

SAP NS2 Data and Analytics Engineer - Hybrid - Herndon, VA; Newtown Square, PA The oCOO Data Management team is responsible for providing trusted data and analysis to support evaluation, research ...

SAP

SAP NS2 Data Analytics Engineer

Herndon, VA · On-site

$117K - $141K/yr

SAP NS2 Data and Analytics Engineer - Hybrid - Herndon, VA; Newtown Square, PA The oCOO Data Management team is responsible for providing trusted data and analysis to support evaluation, research ...

CGI Inc.

Data Analytics Developer, Senior

Arlington, VA · On-site

Data Analytics Developer, Senior Category: Project Management Main location: United States, Virginia, Arlington Position ID:J0925-0670 Employment Type: Full Time Position Description: CGI Federal has ...

CGI

Data Analytics Developer, Senior

Arlington, VA · On-site

Data Analytics Developer, Senior Category: Project Management Main location: United States, Virginia, Arlington Position ID:J0925-0670 Employment Type: Full Time Position Description: CGI Federal has ...

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All JobsFreelance Data Analytics Engineer JobsFreelance Data Analytics Engineer Jobs in Reston, VA

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 Jun 25, 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:
Freelance Data Analytics Engineer jobs near you
Infographic showing various Freelance Data Analytics Engineer job openings in Reston, VA as of June 2026, with employment types broken down into 68% Full Time, and 32% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $134,951 per year, or $64.9 per hour.

Pega Data Analytics Engineer

Compass Pointe Consulting

Vienna, VA • On-site

$114K - $138K/yr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 13 days ago

Job description


Senior Data Analytics Engineer - Pega CDH / Databricks
Position Overview
We are seeking a highly analytical and technically skilled Senior Data Analytics Engineer to support the development, implementation, and monitoring of advanced Customer Decision Hub (CDH) modeling capabilities. This role will focus on enabling faster analysis, improving data accessibility, and standardizing analytical processes across enterprise marketing and analytics teams.
The ideal candidate will have strong experience working within Databricks environments using Python/PySpark and SQL, along with expertise in large-scale data analysis, model performance monitoring, and customer interaction analytics. Experience with Pega Customer Decision Hub (Pega CDH) is strongly preferred.
This position will partner closely with analytics, modeling, marketing, and decisioning teams to create scalable analytical frameworks, reusable notebooks, and actionable monitoring solutions that improve customer engagement and model effectiveness.
Key Responsibilities
  • Develop and maintain a library of reusable queries, scripts, and analytical assets to replicate CDH customer contextual objects within external analytical platforms such as Databricks and ASL.
  • Standardize analytical processes and data retrieval methodologies for broader team usage and consistency.
  • Build scalable data pipelines and analytical frameworks using Python/PySpark and SQL.
  • Create reusable Databricks notebooks that enable self-service analytics across multiple business functions.
  • Develop standardized analytical solutions for interaction-to-outcome attribution analysis, model-to-interaction mapping, predictor performance tracking, member profile mapping, distribution analysis, arbitration analysis, and channel engagement analysis.
  • Support implementation and analysis of new model-related capabilities and features.
  • Establish baseline KPIs and monitoring frameworks for new modeling initiatives.
  • Design and support back-testing methodologies for model enhancements and propensity threshold analysis.
  • Monitor model maturity, performance trends, and operational effectiveness.
  • Develop near real-time monitoring approaches to identify low propensity scores, ineffective actions, and engagement gaps.
  • Improve visibility into model health and Next Best Interaction (NBI) program effectiveness.
  • Design analytical frameworks for eligible audience monitoring and treatment analysis.
  • Correlate interactions with demographic and behavioral data for deeper customer insights.

Required Qualifications
  • Bachelor's degree in Computer Science, Data Analytics, Information Systems, Mathematics, Statistics, or related field (or equivalent experience)
  • Strong hands-on experience with Databricks environments
  • Advanced proficiency in Python, PySpark, and SQL
  • Experience building reusable analytical frameworks and notebooks
  • Experience performing large-scale data analysis and data modeling
  • Strong understanding of model performance monitoring and KPI development
  • Ability to translate business questions into scalable analytical solutions

Preferred Qualifications
  • Experience with Pega Customer Decision Hub (Pega CDH)
  • Experience supporting marketing analytics, customer engagement, or decisioning platforms
  • Familiarity with propensity models, arbitration logic, and customer interaction analytics
  • Experience with monitoring frameworks and real-time analytical alerting
  • Understanding of customer journey analytics and Next Best Action/Interaction programs
  • Experience working in enterprise analytics or customer intelligence environments

Key Skills
Databricks, Python, PySpark, SQL, Data Engineering, Data Analytics, Model Monitoring, KPI Development, Customer Analytics, Predictive Modeling, Marketing Analytics, Notebook Development, Data Standardization, Decisioning Analytics, Stakeholder Collaboration
Success Metrics
  • Creation of reusable and scalable analytical assets for enterprise use
  • Reduction in time required to conduct CDH and model analysis
  • Improved visibility into model health and customer engagement effectiveness
  • Increased consistency and repeatability of analytical processes
  • Enhanced ability for teams to perform self-service analytics and monitoring

We offer Medical, Dental, Vision, Basic Life, Short-Term Disability, Accident, Term Life, Whole Life, and 401k for all W2 Consultants. A benefit overview will be provided as requested.

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