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Financial Data Engineer Remote Jobs in Virginia (NOW HIRING)

This is a Remote position. Key Responsibilities * Data Ingestion and Integration: * Design and ... Integrate data engineering workflows with existing software systems and platforms. * Monitoring and ...

Health IT Data Engineer

Alexandria, VA · Remote

$125K - $135K/yr

The Health IT Data Engineer will design, build, integrate, and optimize enterprise data pipelines ... This is a remote position requiring all work be performed in the continental United States. US ...

Hoboken, NJ or Remote with Travel Division : Revenue Department: Customer Success About Us: Quantum ... Collaborate crossfunctionally with Sales, Engineering, Product, Data Science, and Marketing to ...

... Engineer to support our US Government client. * This remote Contract-to-Hire position will be ... Translate traditional relational data warehousing paradigms into scalable, distributed Lakehouse ...

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Data Integration & Architecture Alignment * Work closely with Data Engineering to align ML ... pipelines with the Bronze, Silver, Gold layers of a Medallion Architecture. * Engineer high-quality ...

The data engineer will work with and analyze our client's challenges and provide solutions by ... financial wellness, retirement planning, family assistance, continued education, and paid time off.

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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 engineer makes $500,000 a year?

Senior financial data engineers or those in executive or specialized roles with extensive experience and advanced skills in data architecture, cloud platforms, and programming can earn $500,000 or more annually. Such high salaries are typically found in large organizations, financial firms, or tech companies with competitive compensation packages and performance bonuses.

What engineers make $300,000 a year?

Senior financial data engineers or data architects with extensive experience, advanced skills in data modeling, programming, and cloud platforms can earn $300,000 or more annually. High compensation often involves working in large organizations, with specialized expertise, and sometimes includes bonuses or stock options.

Can I work remotely as a data engineer?

Yes, many data engineering roles, including those for financial data engineers, are available as remote positions. These jobs typically require strong skills in programming, data pipelines, and cloud platforms, and often involve collaboration through online tools. Remote work arrangements depend on the employer's policies and the specific role requirements.

Can I make 200K as a data engineer?

Financial Data Engineers with extensive experience, advanced skills in SQL, Python, and cloud platforms, and working in high-demand industries can potentially earn salaries of $200,000 or more, especially in senior or specialized roles. Compensation varies based on location, company size, and individual expertise, with some remote positions offering competitive pay at this level.

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 Virginia? The most popular types of Financial Data Engineer jobs in Virginia are:
What are popular job titles related to Financial Data Engineer Remote jobs in Virginia? For Financial Data Engineer Remote jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Financial Data Engineer Remote jobs in Virginia look for? The top searched job categories for Financial Data Engineer Remote jobs in Virginia are:
What cities in Virginia are hiring for Financial Data Engineer Remote jobs? Cities in Virginia with the most Financial Data Engineer Remote job openings:
Data Engineer - Palantir Foundry - Must be government clearance eligible

Data Engineer - Palantir Foundry - Must be government clearance eligible

NavAide

Arlington, VA • On-site, Remote

$100K - $175K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 25 days ago


Job description

Data Engineer - Palantir Foundry
Hybrid | Full-Time
About Navaide
Navaide partners with federal clients to deliver mission-focused solutions across financial management, ERP, and digital transformation. We bring deep domain expertise, practical execution, and a people-first culture to complex government environments.
Catalysts for a Stronger Tomorrow
At Navaide, we exist to empower organizations to evolve and adapt in a rapidly changing world. By combining human ingenuity with transformative technology, we develop innovative solutions that drive progress for the people and systems that strengthen our nation. Our mission is rooted in agility, scalability, and a commitment to exceeding expectations, ensuring impactful results for our clients and communities.
How You Will Make an Impact
Navaide is seeking a skilled Data Engineer to lead data engineering and analytics projects within the Palantir Foundry platform. The ideal candidate will be proficient in data architecture, processing, and solution development in Foundry's native platform. This role involves close collaboration with various departments and key client stakeholders to design and implement data solutions that enhance operational efficiency and decision-making. If you are proactive, curious, and a skilled analytics technologist with a pragmatic approach to engineering challenges, this role may be perfect for you.
Key Duties & Responsibilities
Pipeline Design & Orchestration
  • Pipeline Development: Build and maintain ETL/ELT pipelines in Foundry's Pipeline Builder and Code Repositories - from raw ingest through staging to curated, production-ready datasets.
  • Data Integration: Connect and sync external source systems into Foundry using Data Connection, unifying data across logistics, personnel, and financial domains.
  • Ontology Modeling: Design and extend object types, properties, and links in Ontology Manager, reflecting real-world mission processes and back downstream workflows.
  • Pipeline Hygiene: Enforce automation, version control, orchestration, and health monitoring via Data Lineage to keep data flows secure, repeatable, and auditable.
  • Architecture Standards: Define and enforce data architecture standards for distributed environments within Foundry and adjacent platforms.

Data Quality, Governance & Observability
  • Data Quality: Build scalable, rule-based methods in Foundry to assess accuracy, completeness, and timeliness - with feedback loops that drive remediation.
  • Lineage & Compliance: Leverage Data Lineage to trace dataset provenance, supporting discovery, traceability, and regulatory compliance.
  • Performance Optimization: Tune pipeline schedules, workloads, and resource allocation for cost-efficient, reliable performance.
  • Monitoring: Surface latency issues and pipeline failures against SLAs.

Collaboration & Standards Development
  • Cross-Team Partnership: Work directly with analysts, product leads, and mission stakeholders to translate requirements into clean, well-documented data products.
  • Technical Leadership: Mentor junior engineers and establish Foundry engineering standards for naming, object design, testing, and change management.

Relevant Skills & Experience
  • 4+ years of experience in data engineering, platform engineering, or analytics engineering
  • Hands-on experience building and maintaining production-grade pipelines, data connections, and ontologies in Palantir Foundry (Pipeline Builder, Code Repositories, Ontology Manager, Data Lineage, Workshop)
  • Strong proficiency in Python and SQL; comfort with TypeScript/JavaScript
  • Traditional data lakehouse experience (Databricks, Snowflake, dbt)
  • Familiarity with Foundry Data Connection architecture - setting up sources and syncs from external systems
  • Proven delivery in DoD or federal environments
  • Familiarity with Navy, DON, or DoD logistics, financial, or personnel data landscapes
  • Strong communication skills; able to work across technical and non-technical stakeholders
  • Palantir Foundry Data Engineer or Application Developer certification preferred
  • Eligibility to obtain US Government Security Clearance

Travel
Up to 10% travel, depending on environment cutovers, stakeholder design sessions, and validation/test events.
Education
Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, Mathematics, Physics, or a related technical field, or equivalent experience.
What We Offer
Navaide is committed to fostering a supportive, inclusive, and forward-thinking workplace where our team members can thrive. Our benefits are designed to support your well-being, professional growth, and ability to work at a sustainable pace.
  • Competitive compensation: $100,000 - $175,000 / year (commensurate with experience)
  • Comprehensive benefits, including medical, dental, and vision coverage
  • Flexible time off
  • Professional development opportunities
  • Company perks such as flex spending, wellness initiatives, etc.
  • 401(K) matching

About Our Culture
Navaide honors integrity, curiosity, diligence, and collaboration in everything we do. We believe in building strong relationships with our clients, communities, and teammates, united by a shared purpose of creating a stronger tomorrow. Navaide is proud to be an Equal Employment Opportunity employer.
Ready to Make a Difference?
For more about us, please check out the following links:
  • About Navaide
  • Other Opportunities
  • Employee Benefits
  • Connect with us on LinkedIn!

Equal Opportunity Employer: Navaide is an EEO Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
  • E-Verify Participation:
  • E-Verify Participation Poster
  • IER Right to Work Poster

No third parties, please.

NavAide logo

About NavAide

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

51 - 200 Employees

Headquarters location

San Diego, CA, US

Year founded

2016