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Financial Data Engineer Remote Jobs in Washington

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 ... XBRL & Financial Data Processing * Develop pipelines to ingest, parse, and normalize XBRL ...

Level Up Llc

Data Engineer

Reston, VA · On-site +1

$119K - $143K/yr

This position has an on-site requirement and is not eligible for fully remote candidates. At Level ... Financially, we provide flexible spending accounts (FSA), a 401(k) plan with company contributions ...

AVIAN, LLC

Data Engineer

Reston, VA · On-site +1

$119K - $143K/yr

This position has an on-site requirement and is not eligible for fully remote candidates. At Level ... Financially, we provide flexible spending accounts (FSA), a 401(k) plan with company contributions ...

Info Gain Consulting

Data Engineer

Alexandria, VA · Remote

$122K - $147K/yr

We deliver program management, financial management, performance improvement, and technology ... Ability to work independently and collaboratively in a remote team environment. Preferred ...

Info Gain Consulting

Data Engineer

Alexandria, VA · On-site +1

$122K - $147K/yr

We deliver program management, financial management, performance improvement, and technology ... Ability to work independently and collaboratively in a remote team environment. Preferred ...

Mondo

SQL Data Engineer

Centreville, VA · Remote

$125K - $140K/yr

SQL Data Engineer, location is Remote. The start date is ASAP for this permanent position. Job ... Experience within tax, government, financial services, or other regulated industries. * Familiarity ...

Graham Technologies

Data Engineer

Upper Marlboro, MD · Remote

$117K - $140K/yr

Remote Key Responsibilities: * Collaborate with customer data practitioners and IT staff to develop ... Minimum 7+ years of experience in data engineering, cloud infrastructure, or enterprise data ...

HelioCampus

Data Engineer

Bethesda, MD · On-site +1

$122K - $147K/yr

Refining and expanding reporting models to track student learning outcomes and financial ... This specific role is primarily remote, with occasional travel to an office or client site.

HelioCampus

Data Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

Refining and expanding reporting models to track student learning outcomes and financial ... This specific role is primarily remote, with occasional travel to an office or client site.

HelioCampus

Data Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

Refining and expanding reporting models to track student learning outcomes and financial ... This specific role is primarily remote, with occasional travel to an office or client site.

VivSoft Technologies LLC

Data Engineer

Herndon, VA · On-site +1

$117K - $141K/yr

Data Engineer Location: Remote, USA Clearance: Top-Secret Type: Full-time, W2About VivSoft We are a mission-driven technology company specializing in Cloud, DevSecOps, Artificial Intelligence, and ...

VivSoft Technologies

Data Engineer

Herndon, VA · Remote

$117K - $140K/yr

Data Engineer Location: Remote, USA Clearance: Top-Secret Type: Full-time, W2 About VivSoft We are a mission-driven technology company specializing in Cloud, DevSecOps, Artificial Intelligence, and ...

Alphataraxia

Data Engineer II

Washington, DC · On-site +1

$150K - $170K/yr

The Data Engineer II will play an important role in expanding our data engineering capabilities ... Hybrid remote work environment-most of the year we are in the office Tuesday to Thursday with ...

Booz Allen Hamilton, Inc.

Data Engineer

Mclean, VA · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0239684 Location: McLean,VA,US Share job via: Share Data Engineer The ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

GRVTY

Data Engineer

Chantilly, VA · On-site +1

$117K - $140K/yr

We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence ... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer)

Ad Hoc

Data Engineer III

Mclean, VA · Remote

$115K - $139K/yr

Data Engineer III Job number: 820 This is a remote position. Ad Hoc is a technology company that empowers organizations to deliver scalable, impactful digital services. Using modern, agile methods ...

Troutman Pepper

Senior Data Engineer

Washington, DC · Remote

$120K - $163K/yr

... technologies and financial software. The Senior Data Engineer will build and maintain small ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

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Financial Data Engineer Remote information

What does a Financial Data Engineer do in a remote role?

A Financial Data Engineer designs, builds, and maintains systems that process and analyze large sets of financial data. Working remotely, they collaborate with teams to develop data pipelines, integrate financial databases, and ensure the reliability of data used for financial analysis and reporting. They often use programming languages like Python or SQL, and work with big data tools to support data-driven decision-making for financial institutions or fintech companies. Their work is crucial to transforming raw financial data into actionable insights.

What are the typical challenges faced by remote Financial Data Engineers when collaborating with cross-functional teams?

Remote Financial Data Engineers often work closely with data analysts, software developers, and business stakeholders across different time zones. One common challenge is ensuring effective communication and alignment on project requirements, especially when dealing with complex financial data pipelines and evolving business needs. Utilizing collaborative tools, maintaining clear documentation, and participating in regular virtual meetings can help bridge gaps and foster productive teamwork. Staying proactive about updates and being responsive to feedback are key to ensuring smooth collaboration in a remote environment.

What are the key skills and qualifications needed to thrive as a Financial Data Engineer in a remote role, and why are they important?

To thrive as a Financial Data Engineer (Remote), you need strong programming skills (such as Python or SQL), experience with data modeling, and a background in finance or quantitative analysis, often supported by a relevant degree. Proficiency with big data platforms (like Hadoop or Spark), ETL tools, and cloud data services (such as AWS or Azure) is typically required, alongside certifications in data engineering or finance. Excellent problem-solving, communication, and time management skills help you collaborate effectively and independently in a distributed environment. These capabilities are crucial for building reliable financial data pipelines, ensuring data quality, and supporting timely, data-driven business decisions.
What are the most commonly searched types of Financial Data Engineer jobs in Washington? The most popular types of Financial Data Engineer jobs in Washington are:
What are popular job titles related to Financial Data Engineer Remote jobs in Washington? For Financial Data Engineer Remote jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Financial Data Engineer Remote jobs in Washington look for? The top searched job categories for Financial Data Engineer Remote jobs in Washington are:
What cities in Washington are hiring for Financial Data Engineer Remote jobs? Cities in Washington with the most Financial Data Engineer Remote job openings:
Financial Data Engineer Remote jobs near you
Data Engineer

Data Engineer

Anika Systems

Leesburg, VA • Remote

$115K - $139K/yr

Full-time

Posted 3 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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