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Xbrl Manager Jobs in Reston, VA (NOW HIRING)

Anika Systems

Data Engineer

Leesburg, VA · On-site +1

$115K - $139K/yr

The ideal candidate has hands-on experience with ETL/ELT pipelines, XBRL data processing, Apache ... Develop and manage data solutions leveraging AWS services (e.g., S3, Airflow, DAGs, Glue, Lambda ...

Anika Systems

Data Engineer

Leesburg, VA · Remote

$117K - $140K/yr

The ideal candidate has hands-on experience with ETL/ELT pipelines, XBRL data processing, Apache ... Develop and manage data solutions leveraging AWS services (e.g., S3, Airflow, DAGs, Glue, Lambda ...

TriSource Staffing Solutions

Be Seen First

Financial Reporting Manager

Bethesda, MD · On-site

$160K - $180K/yr

Familiarity with XBRL and EDGAR filing processes. * Strong analytical, organizational, and communication skills. * Ability to manage multiple priorities and meet strict reporting deadlines. Preferred ...

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Anika Systems

Quality Assurance Engineer

Leesburg, VA · On-site +1

Test ingestion and transformation of complex datasets, including XBRL financial data. * Implement ... Support enterprise data management programs and OCDO initiatives by ensuring data quality and ...

Anika Systems

Quality Assurance Engineer

Leesburg, VA · Remote

Test ingestion and transformation of complex datasets, including XBRL financial data. * Implement ... Support enterprise data management programs and OCDO initiatives by ensuring data quality and ...

Maximus

Software Development Manager

VA · On-site +1

$124K - $163K/yr

Preferred Skills and Qualifications: - Experienced in developing solutions using Java, XBRL, and ... managing IT/Software projects at a financial agency. - Consulting or Systems Integration experience ...

EagleBank

Financial Reporting Manager

Bethesda, MD · On-site

$125K - $215K/yr

Familiarity with XBRL tagging and EDGAR filing processes Preferences: * Master's degree in Arts ... Prior management or leadership experience * Previous financial modeling, financial analysis or ...

EagleBank

Financial Reporting Manager

Bethesda, MD · On-site

$125K - $215K/yr

Familiarity with XBRL tagging and EDGAR filing processes Preferences: * Master's degree in Arts ... Prior management or leadership experience * Previous financial modeling, financial analysis or ...

EagleBank

US-MD-Bethesda

Bethesda, MD

$125K - $215K/yr

The Financial Reporting Manager manages all of the Company's regulatory reporting requirements as a ... Familiarity with XBRL tagging and EDGAR filing processes Preferences: * Master's degree in Arts ...

All JobsXbrl Manager JobsXbrl Manager Jobs in Reston, VA

Xbrl Manager information

What is the difference between Xbrl Manager vs Xbrl Analyst?

AspectXbrl ManagerXbrl Analyst
CredentialsTypically requires a bachelor’s degree in accounting, finance, or related field; certifications like CPA or CFA are commonUsually holds a degree in accounting, finance, or related area; certifications like CPA or CPA candidate are advantageous
Work EnvironmentLeads teams, manages projects, and oversees XBRL reporting processes within organizationsPerforms detailed data analysis, prepares XBRL filings, and supports reporting tasks
Industry UsageUsed across finance, accounting, and regulatory reporting departments in various industriesPrimarily found in finance and accounting teams handling XBRL data and filings

The Xbrl Manager focuses on overseeing XBRL reporting processes and managing teams, while the Xbrl Analyst handles detailed data analysis and prepares filings. Both roles require similar credentials and are integral to financial reporting in organizations.

What are the key skills and qualifications needed to thrive as an XBRL Manager, and why are they important?

To thrive as an XBRL Manager, you need a strong background in financial reporting, knowledge of XBRL standards, and experience with accounting principles, often supported by a degree in finance, accounting, or information systems. Familiarity with XBRL tagging software, financial reporting tools, and regulatory filing systems (such as SEC EDGAR) is typically required, along with certifications like CPA or XBRL-specific credentials. Strong analytical skills, attention to detail, and effective communication are crucial soft skills for managing complex data sets and coordinating with internal and external stakeholders. These skills ensure accurate regulatory filings, compliance with reporting standards, and efficient collaboration across finance and IT teams.

What is an XBRL Manager?

An XBRL Manager is a professional responsible for overseeing the implementation, management, and compliance of XBRL (eXtensible Business Reporting Language) processes within an organization. This role typically involves coordinating the preparation and submission of financial reports in XBRL format, ensuring data accuracy, and staying up-to-date with regulatory requirements. XBRL Managers often work closely with finance, accounting, and IT teams to streamline financial reporting and improve data transparency. Their work helps organizations meet regulatory standards and improves the efficiency of data analysis and reporting.

What are the main collaboration points for an XBRL Manager within a financial reporting team?

As an XBRL Manager, you'll regularly collaborate with accounting, finance, and IT teams to ensure financial data is accurately tagged and compliant with regulatory standards. You may also work closely with external auditors and regulatory bodies to address data validation and submission requirements. Effective communication skills are important, as you'll often translate complex XBRL concepts for stakeholders who may not be familiar with the technical details. This cross-functional teamwork is essential for maintaining data integrity and streamlining the reporting process.
What are popular job titles related to Xbrl Manager jobs in Reston, VA? For Xbrl Manager jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Xbrl Manager jobs in Reston, VA look for? The top searched job categories for Xbrl Manager jobs in Reston, VA are:
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Xbrl Manager jobs near you
Data Engineer

Data Engineer

Anika Systems

Leesburg, VA • On-site, Remote

$115K - $139K/yr

Full-time

Posted 12 days ago

Job description

Anika Systems is seeking a skilled Data Engineer to design, build, and optimize scalable data pipelines and platforms supporting federal clients. This role will play a critical part in enabling enterprise data strategies, supporting Office of the Chief Data Officer (OCDO) initiatives, and delivering high-quality, trusted data for analytics, reporting, and mission operations.
This opportunity is 100% remote.
The ideal candidate has hands-on experience with ETL/ELT pipelines, XBRL data processing, Apache Iceberg-based architectures, and advanced data optimization techniques such as materialized views and context-aware data engineering. This role also requires proficiency in AI tools and AI-assisted development workflows, along with experience building and deploying CI/CD pipelines for data and analytics platforms.
Key Responsibilities
Data Pipeline Development & ETL/ELT
  • Design, develop, and maintain robust ETL/ELT pipelines to ingest, transform, and deliver data across enterprise platforms.
  • Build scalable data ingestion frameworks for structured and semi-structured data, including XBRL filings and financial datasets.
  • Implement data transformation logic to support analytics, reporting, and regulatory use cases.
  • Ensure data pipelines are reliable, performant, and scalable in cloud environments.
  • Leverage AI-assisted development tools to accelerate pipeline development, testing, and optimization.
Cloud Data Platforms & Iceberg Architecture
  • Develop and manage data solutions leveraging AWS services (e.g., S3, Airflow, DAGs, Glue, Lambda, Redshift).
  • Implement and optimize Apache Iceberg table formats for large-scale, ACID-compliant data lakes.
  • Support lakehouse architectures that unify data lakes and data warehouses.
  • Optimize data storage and retrieval strategies for performance and cost efficiency.
  • Enable data platforms that support AI/ML workloads and downstream generative AI use cases.
CI/CD & DataOps Engineering
  • Design and implement CI/CD pipelines for data pipelines, infrastructure, and analytics code using tools such as GitHub Actions, GitLab CI, Jenkins, or AWS-native services.
  • Automate build, test, and deployment processes for ETL pipelines and data platform components.
  • Implement DataOps best practices, including version control, automated testing, environment promotion, and rollback strategies.
  • Ensure reproducibility, reliability, and governance of data pipeline deployments across environments.
  • Integrate AI-driven testing and monitoring tools to improve pipeline quality and reduce operational risk.
Data Optimization & Performance Engineering
  • Design and implement materialized views and other performance optimization techniques to improve query efficiency.
  • Tune data pipelines and queries for performance, scalability, and cost.
  • Implement partitioning, indexing, and caching strategies aligned to workload patterns.
XBRL & Financial Data Processing
  • Develop pipelines to ingest, parse, and normalize XBRL (eXtensible Business Reporting Language) data.
  • Support regulatory and financial data use cases requiring high accuracy and traceability.
  • Ensure alignment with data standards and validation rules for financial reporting datasets.
Context Engineering & Data Modeling Support
  • Apply context engineering principles to ensure data is enriched with meaningful metadata, lineage, and business context.
  • Collaborate with Data Architects to support data modeling, schema design, and entity relationships.
  • Enable downstream analytics and AI use cases by structuring data for usability, discoverability, and governance.
Metadata, Data Catalog, and Governance Integration
  • Integrate pipelines with enterprise data catalogs and metadata management systems.
  • Support automated metadata capture, lineage tracking, and data quality monitoring.
  • Ensure alignment with data governance frameworks and standards established by OCDO organizations, including AI data readiness and traceability.
Stakeholder Collaboration & Agile Delivery
  • Collaborate with data architects, analysts, and business stakeholders to understand data needs and deliver solutions.
  • Participate in stakeholder listening campaigns, workshops, and data discovery efforts.
  • Work in Agile teams to iteratively deliver data capabilities and enhancements.
  • Contribute to identifying and implementing AI-driven efficiencies and automation opportunities across the data lifecycle.
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
  • 5+ years of experience in data engineering, ETL development, or data platform engineering.
  • Strong hands-on experience with:
    • ETL/ELT tools and frameworks
    • AWS data services (S3, Glue, Lambda, Redshift, etc.)
    • Apache Iceberg and modern data lake architectures
  • Experience designing and implementing CI/CD pipelines for data platforms and ETL workflows.
  • Demonstrated proficiency using AI tools and AI-assisted development workflows (e.g., LLM copilots, automated code generation, pipeline optimization tools).
  • Experience processing XBRL or complex financial/regulatory datasets.
  • Proficiency in SQL and Python.
  • Experience implementing materialized views and query optimization techniques.
  • Understanding of data modeling concepts and metadata management.
  • Familiarity with data governance, data quality practices, and data readiness for AI/ML use cases.
  • Ability to work in Agile, DevOps-oriented environments.
  • U.S. Citizenship required; ability to obtain and maintain a federal clearance.
Preferred Qualifications
  • Experience supporting federal agencies such as SEC, DHS, Treasury, or Federal Reserve System.
  • Familiarity with data catalog tools (e.g., Collibra, Alation, ServiceNow).
  • Experience with Apache Spark, Kafka, or other distributed data processing frameworks.
  • Experience enabling data pipelines for AI/ML or generative AI applications.
  • Knowledge of data maturity frameworks (e.g., EDM DCAM, TDWI).
  • Exposure to context engineering or semantic data layer design.
  • AWS or data engineering certifications.
  • Experience with infrastructure-as-code (IaC) tools (e.g., Terraform, CloudFormation) in support of CI/CD pipelines.

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