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Remote Xml Developer Jobs in Virginia (NOW HIRING)

ICF

Salesforce Integration Engineer (Public Trust)

Reston, VA · Remote

$57.75 - $76.50/hr

Remote work is authorized. Must support US Eastern time zone working hours. *If you accept this ... MuleSoft Developer certification or Salesforce integration-focused certifications. * Experience ...

New

ICF

Salesforce QA Engineer (Public Trust)

Reston, VA · Remote

$57.75 - $76.50/hr

Remote work is authorized. Must support US Eastern time zone working hours. *If you accept this ... MuleSoft Developer certification or Salesforce integration-focused certifications. * Experience ...

New

SAIC

Software Systems Integrator

Arlington, VA · On-site +1

SW Systems Engr Schedule: Full-Time Shift: Day Job Travel: Yes - 25% of the time Minimum Clearance ... TS/SCI Potential for Remote Work: ORA_HYBRID Description Join the Data Feed Integration (DFI) team ...

Atreides

Mission (Data) Engineer

Arlington, VA · Remote

$131K - $158K/yr

Familiarity with DevOps and CI/CDtools such asgit,containers,Kubernetes,GitHub Actions, etc ... Flexible remote work environment * Additional benefits like flexible hours, work travel ...

SAIC

QA Automation Tester

Reston, VA · On-site +1

$120K - $160K/yr

Test Engineer Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: None ... None Potential for Remote Work: ORA_HYBRID Description The AI Agentic Program seeks a senior ...

INflow Federal

Data Engineer

Arlington, VA · Remote

$131K - $158K/yr

This is a fully remote position. Here, your work is more than a job - it's a journey in innovation ... Familiarity with RESTful API integration and data exchange standards (JSON, XML, CSV)

INflow Federal

Data Engineer

Arlington, VA · On-site +1

$131K - $158K/yr

This is a fully remote position. Here, your work is more than a job - it's a journey in innovation ... Familiarity with RESTful API integration and data exchange standards (JSON, XML, CSV)

CTC

Web Scraping Engineer- 3566726

Arlington, VA · On-site +1

$105K - $110K/yr

... DevOps, Test Automation, Cyber Security, and infrastructure solutions. Additionally, we provide ... This position is currently remote, with occasional meetings in Arlington, VA. Daily ...

Morgan Stanley

Director, Lead Software Engineer

Broadway, VA · On-site +1

$158K - $165K/yr

Remote work from anywhere in the U.S. What you'll bring to the role: -Requires a Bachelor's degree ... Developer, Programmer Analyst, or a related role. -Requires five (5) yearsof experience with the ...

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All JobsXml Developer JobsRemote Xml Developer JobsRemote Xml Developer Jobs in Virginia

Remote Xml Developer information

See Virginia salary details

$16

$52

$81

How much do remote xml developer jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for remote xml developer in Virginia is $52.39, according to ZipRecruiter salary data. Most workers in this role earn between $40.05 and $64.09 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of a Remote Xml Developer?

As a Remote Xml Developer, your daily tasks often include designing and maintaining XML schemas, transforming data using XSLT, validating and troubleshooting XML documents, and integrating XML with various systems or APIs. You may also participate in virtual meetings with cross-functional teams to discuss project requirements or coordinate on data workflows. Regular code reviews, updating technical documentation, and supporting end-users with XML-related issues are also part of the role. This work is largely independent but requires strong collaboration and communication with project managers, QA engineers, and other developers to ensure seamless delivery.

What are the key skills and qualifications needed to thrive in the Remote Xml Developer position, and why are they important?

To thrive as a Remote Xml Developer, you need expertise in XML, XSLT, XPath, and strong programming abilities with languages like Java, C#, or Python, usually backed by a degree in computer science or a related field. Familiarity with XML editors, data integration tools, and version control systems like Git, as well as optional certifications in XML development, are highly valuable. Excellent problem-solving, attention to detail, self-motivation, and effective remote communication skills help you excel in distributed teams. These skills are essential for producing robust data solutions, efficiently resolving technical challenges, and collaborating with cross-functional teams in remote settings.

What is a Remote XML Developer job?

A Remote XML Developer is responsible for designing, developing, and maintaining XML-based applications and data structures while working from a remote location. They often collaborate with other developers, analysts, and designers to integrate XML with various systems, such as databases, APIs, and web services. Key responsibilities include parsing and transforming XML data, writing XSLT for document rendering, and ensuring compliance with industry standards. Strong knowledge of XML technologies like XPath, XQuery, and schema validation is essential. Remote XML Developers typically work for tech companies, publishing firms, and organizations that rely on structured data processing.

What are popular job titles related to Remote Xml Developer jobs in Virginia? For Remote Xml Developer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Xml Developer jobs in Virginia look for? The top searched job categories for Remote Xml Developer jobs in Virginia are:
What cities in Virginia are hiring for Remote Xml Developer jobs? Cities in Virginia with the most Remote Xml Developer job openings:
Remote Xml Developer jobs near you
Infographic showing various Remote Xml Developer job openings in Virginia as of July 2026, with employment types broken down into 85% Full Time, 3% Part Time, 1% Temporary, and 11% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $108,962 per year, or $52.4 per hour.
Data Engineer (Fraud Analytics & Investigative Support)

Data Engineer (Fraud Analytics & Investigative Support)

Praescient Analytics

Fairfax, VA • On-site, Remote

$117K - $140K/yr

Full-time

Retirement, PTO

Posted 23 days ago

Job description

Location: Remote (Occasional Travel May Be Required)
Clearance: Ability to obtain and maintain a Public Trust
U.S. Citizenship is Required.
Position Overview:
Praescient Analytics is seeking an experienced Data Engineer to design, build, and maintain scalable data pipelines supporting advanced fraud analytics and investigative solutions for a federal oversight organization. This individual will play a critical role in ensuring diverse data sources are efficiently ingested, transformed, governed, and made available for analytics, machine learning, graph analytics, and investigative support.
The ideal candidate is a hands-on engineer who enjoys solving complex data integration challenges while building modern cloud-native data pipelines that prioritize quality, reliability, scalability, and performance. They understand that high-quality analytics begin with high-quality data and are committed to developing robust data engineering solutions that enable timely, accurate, and defensible analytic products.
Key Responsibilities:
  • Design, develop, maintain, and optimize scalable ETL pipelines supporting advanced analytics and investigative workloads.
  • Ingest, transform, and integrate structured and unstructured data from diverse sources including flat files, JSON, XML, Excel, APIs, graph databases, relational databases, and other evolving data formats.
  • Develop and optimize data pipelines supporting both streaming and batch ingestion frameworks.
  • Manage, organize, and optimize data within modern cloud-based analytics platforms, including Databricks Unity Catalog, SQL Server managed instances, and Lakehouse architectures.
  • Develop efficient SQL and Python-based data transformation processes that support downstream analytics, machine learning, graph analytics, and business intelligence solutions.
  • Implement data quality validation, lineage tracking, metadata management, and monitoring processes to ensure data reliability and integrity throughout the analytics lifecycle.
  • Collaborate with Data Scientists, Graph Data Scientists, Investigative Analysts, Forensic Accountants, and Project Managers to understand data requirements and support analytic initiatives.
  • Troubleshoot pipeline failures, optimize performance, and continuously improve scalability, reliability, and maintainability of enterprise data solutions.
  • Support enterprise data governance by implementing data management standards, documenting data assets, and ensuring compliance with enterprise data management (EDM) policies.
  • Contribute to data architecture improvements, ingestion strategies, and modernization efforts that enhance overall analytic capabilities.

Required Qualifications:
  • Must have experience with Fraud Analysis
  • Three (3) or more years of professional experience in data engineering or a related technical field.
  • Demonstrated experience designing, building, maintaining, and optimizing scalable ETL pipelines across diverse data sources.
  • Strong SQL and Python programming skills, or equivalent technologies, for data ingestion, transformation, and processing.
  • Experience ingesting and transforming data from flat files, JSON, XML, Excel, APIs, graph databases, relational databases, and other structured and unstructured data sources.
  • Experience loading, managing, and optimizing data within Databricks Unity Catalog, SQL Server managed instances, or comparable cloud-based data platforms.
  • Experience working with streaming and batch ingestion frameworks and modern Lakehouse architectures.
  • Demonstrated ability to implement data quality controls, lineage tracking, reliability monitoring, and performance optimization processes.
  • Familiarity with enterprise data governance, enterprise data management (EDM), metadata management, and data quality best practices.
  • Strong analytical, problem-solving, written, and verbal communication skills.

Preferred Qualifications:
Preference will be given to candidates with demonstrated experience in one or more of the following areas:
  • Supporting fraud detection, anomaly detection, financial oversight, program integrity, or investigative analytics environments.
  • Building cloud-native data engineering solutions utilizing Azure Databricks, Azure Data Lake Storage (ADLS), Microsoft SQL Server, Microsoft Fabric, Azure Synapse Analytics, Power BI, Neo4j, Git repositories, or comparable cloud data platforms.
  • Developing scalable data pipelines supporting machine learning, artificial intelligence (AI), graph analytics, natural language processing (NLP), or advanced analytics solutions.
  • Working with public, non-public, commercial, financial, law enforcement, or cross-agency datasets supporting fraud detection and investigative missions.
  • Designing and implementing Lakehouse architectures, Delta Lake, data partitioning strategies, and performance optimization techniques for large-scale analytics environments.
  • Developing automated data quality validation, metadata management, lineage tracking, schema evolution, and monitoring capabilities.
  • Supporting enterprise data governance initiatives, data catalogs, master data management, and compliance with organizational data standards.
  • Utilizing orchestration and workflow tools such as Apache Spark, Databricks Workflows, Azure Data Factory, Airflow, or comparable pipeline automation technologies.
  • Collaborating within Agile software development teams using Git-based version control, sprint planning, backlog management, and continuous integration/continuous deployment (CI/CD) practices.
  • Supporting Offices of Inspector General (OIGs), federal oversight organizations, law enforcement agencies, or other government data modernization initiatives.

What We're Looking For:
We're looking for a data engineer who is passionate about building reliable, scalable data foundations that power advanced analytics. The ideal candidate enjoys working with complex data ecosystems, solving integration challenges, and continuously improving the quality, performance, and accessibility of enterprise data. They understand that trustworthy analytics depend on trustworthy data and take pride in developing robust engineering solutions that enable investigators and analysts to uncover fraud, waste, abuse, and emerging risks with confidence.
What you can expect from us:
  • Real opportunity for career growth in an environment where your achievements will be celebrated
  • Constant collaboration with numerous teams to ensure client success
  • A team that respects and embraces your ideas and expertise
  • Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain
  • A workplace dedicated to supporting and bettering public safety and government agencies

Benefits:
  • Competitive salary based on qualifications and experience
  • Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles)
  • 401(k) with company match
  • Travel & performance incentives
  • 3 weeks paid time off (plus Federal Holidays)
  • $5K annual training allowance
  • $500 book allowance
  • Tuition reimbursement program

Praescient Analytics is an Equal Employment Opportunity employer. Employment decisions are based on merit, qualifications, experience, performance, business needs, and applicable contract requirements. Praescient does not unlawfully discriminate or provide disparate treatment based on race, ethnicity, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable law.
Praescient Analytics acknowledges the applicable clause and provision updates implementing Executive Order 14398, Addressing DEI Discrimination by Federal Contractors, and the related FAR/RFO updates, including FAR 52.222-90 where applicable. Praescient does not engage in racially discriminatory DEI activities, including disparate treatment based on race or ethnicity in recruitment, hiring, promotion, contracting, program participation, training, mentoring, leadership development, or allocation of company resources. Praescient's employment and contracting decisions are made based on merit, qualifications, experience, performance, business needs, and applicable contract requirements.
Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
US Citizenship Required
Interested Candidates: Please forward your resume to recruiting@praescientanalytics.com and please visit our website to apply online at www.praescientanalytics.applicantstack.com/x/openings.

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