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Remote Performance Optimization Jobs in Virginia

Anika Systems

Data Engineer

Leesburg, VA · On-site +1

$115K - $139K/yr

This opportunity is 100% remote. The ideal candidate has hands-on experience with ETL/ELT pipelines ... Data Optimization & Performance Engineering * Design and implement materialized views and other ...

Anika Systems

Data Engineer

Leesburg, VA · Remote

$115K - $139K/yr

This opportunity is 100% remote. The ideal candidate has hands-on experience with ETL/ELT pipelines ... Data Optimization & Performance Engineering * Design and implement materialized views and other ...

Team Velocity

Senior Data Engineer

Herndon, VA · Remote

$109K - $148K/yr

Strong troubleshooting and performance optimization skills. * Excellent communication and ... Experience working in a remote-first environment. COMPENSATION Compensation commensurate on ...

Team Velocity

Senior Data Engineer

Herndon, VA · On-site +1

$109K - $148K/yr

Strong troubleshooting and performance optimization skills. * Excellent communication and ... Experience working in a remote-first environment. COMPENSATION Compensation commensurate on ...

ATPCO

Senior UX Engineer

Herndon, VA · On-site +1

$110K - $136K/yr

Remote-First Culture - Flexibility to work from home in your country of hire Inclusive ... Performance Optimization: Optimize front-end code for performance and troubleshoot issues across ...

ATPCO

Senior UX Engineer

Herndon, VA · On-site +1

... Remote-First Culture - Flexibility to work from home in your country of hire​ ✅ Inclusive ... Performance Optimization: Optimize front-end code for performance and troubleshoot issues across ...

ATPCO

Senior UX Engineer

Herndon, VA · On-site +1

$110K - $136K/yr

Remote-First Culture - Flexibility to work from home in your country of hire Inclusive ... Performance Optimization: Optimize front-end code for performance and troubleshoot issues across ...

VivSoft Technologies LLC

Data Engineer

Herndon, VA · On-site +1

$117K - $141K/yr

Remote, USA Clearance: Top-Secret Type: Full-time, W2About VivSoft We are a mission-driven ... Perform data modeling, database design, schema modifications, and database performance optimization.

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All JobsRemote Performance Optimization JobsRemote Performance Optimization Jobs in Virginia

Remote Performance Optimization information

What is the difference between Remote Performance Optimization vs Remote Performance Analyst?

AspectRemote Performance OptimizationRemote Performance Analyst
Primary FocusImproving overall system, application, or website performance through technical strategiesAnalyzing performance data to identify issues and recommend improvements
Required SkillsTechnical expertise in performance tuning, coding, and system architectureData analysis, reporting, and troubleshooting skills
Work EnvironmentCollaborates with developers, IT teams, and stakeholders on performance projectsWorks with data sets, monitoring tools, and reports to assess performance
Common UsageUsed by companies aiming to optimize their digital assets' speed and efficiencyUsed by organizations to monitor and analyze system performance metrics

While both roles focus on performance, Remote Performance Optimization involves proactive technical improvements, whereas Remote Performance Analyst emphasizes analyzing data to inform performance strategies. Understanding these differences helps organizations assign the right talent for their performance needs.

What are the most commonly searched types of Performance Optimization jobs in Virginia? The most popular types of Performance Optimization jobs in Virginia are:
What are popular job titles related to Remote Performance Optimization jobs in Virginia? For Remote Performance Optimization jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Performance Optimization jobs in Virginia look for? The top searched job categories for Remote Performance Optimization jobs in Virginia are:
What cities in Virginia are hiring for Remote Performance Optimization jobs? Cities in Virginia with the most Remote Performance Optimization job openings:
Remote Performance Optimization jobs near you
Data Engineer

Data Engineer

Anika Systems

Leesburg, VA • On-site, Remote

$115K - $139K/yr

Full-time

Posted 6 hours 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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