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Financial Data Engineer Remote Jobs in Washington

Serigor, Inc.

Palantir Data Engineer (Remote)

Washington, DC · On-site +1

$129K - $156K/yr

Palantir Data Engineer (Remote) Location: Washington, DC Duration: 12 Months * Palantir Data Engineer design, build, and operate ontology-driven data products in Palantir Foundry (SaaS). This role ...

New

Bright Vision Technologies

ML Data Engineer

Herndon, VA · Remote

$100K - $150K/yr

ML Data Engineer - Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is ...

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 ...

Booz Allen Hamilton, Inc.

Data Engineer

Washington, DC · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0243926 Location: Washington,DC,US Share job via: Share Data Engineer ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0239070 Location: Chantilly,VA,US Share job via: Share Data ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0244707 Location: Chantilly,VA,US Share job via: Share Data ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

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 ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0244477 Location: Arlington,VA,US Share job via: Share Data ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0241347 Location: Chantilly,VA,US Share job via: Share Data Engineer ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0239091 Location: Chantilly,VA,US Share job via: Share Data Engineer ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0241523 Location: Arlington,VA,US Share job via: Share Data ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

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 ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0242536 Location: Arlington,VA,US Share job via: Share Data ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0242942 Location: Arlington,VA,US Share job via: Share Data ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

GRVTY

Data Engineer

Chantilly, VA · On-site +1

$150K - $200K/yr

... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer ... 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 Washington? The most popular types of Financial Data Engineer jobs in Washington are:
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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
Palantir Data Engineer (Remote)

Palantir Data Engineer (Remote)

Serigor, Inc.

Washington, DC • On-site, Remote

$129K - $156K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Palantir Data Engineer (Remote)
Location: Washington, DC
Duration: 12 Months
Job Description:
  • Palantir Data Engineer design, build, and operate ontology-driven data products in Palantir Foundry (SaaS). This role emphasizes semantic data modeling, entity-centric design, and ontology-backed analytics and operational workflows, rather than pure pipeline engineering alone.
  • You will work closely with product owners, analysts, and mission stakeholders to translate real-world domains-such as case management, operations, and reporting-into well-governed ontologies composed of entities, relationships, properties, and actions. You will then implement and maintain the data pipelines and transformations that reliably populate and evolve those ontologies.
  • This role is ideal for an engineer who enjoys ontology-first thinking, data product design, strong governance, and enabling both analytics and operational use cases from a shared semantic foundation.

Ontology Design & Semantic Data Modeling (Primary Focus):
  • Design, implement, and maintain Palantir Foundry Ontologies, including entities, relationships, properties, actions, and permissions.
  • Translate business processes and domain requirements into clear, reusable entity and relationship models.
  • Ensure semantic consistency across datasets by enforcing standardized definitions, naming conventions, and relationship patterns.
  • Evolve ontologies over time while maintaining lineage, backward compatibility, and data contracts.

Build & Operate Foundry Pipelines Supporting the Ontology
  • Design and implement ingestion pipelines into Foundry from APIs, relational databases, object storage, file drops, and external partners.
  • Build transformation logic that materializes ontological entities and relationships from raw and curated data sources.
  • Implement incremental processing and CDC patterns to keep ontology-backed data current.
  • Optimize pipeline performance and reliability while maintaining clarity between raw, curated, and ontology-backed layers.

Deliver Ontology-Backed Analytics & Case Management Data Products
  • Produce analysis-ready datasets that power case views, entity timelines, dashboards, cohort analysis, and trend reporting.
  • Enable self-service analytics by ensuring ontology-backed datasets are intuitive, well-documented, and reusable.
  • Support both human workflows (case review, operations) and analytical/ML consumption from the same semantic foundation.

Governance, Lineage & Data Quality
  • Ensure datasets and entities are fully documented with ownership, descriptions, and business definitions.
  • Maintain end-to-end lineage from source systems through transformations into ontological entities.
  • Implement policy-based access controls and secure handling aligned to organizational and compliance requirements.
  • Operationalize data quality checks (freshness, completeness, validity) tied to mission-critical entities.

Reliability, Performance & Operational Excellence
  • Monitor pipelines and ontology-backed datasets using metrics, logs, and alerts.
  • Troubleshoot failures, conduct root-cause analysis, and implement preventive improvements.
  • Support environment promotion practices (DEV / TEST / PRE-PROD / PROD) with repeatable and auditable processes.

Cross-Team Collaboration
  • Partner with platform engineering, security, analytics, and application teams to align ontology design with operational needs.
  • Communicate complex ontology and data concepts clearly to both technical and non-technical stakeholders.
  • Participate in design and architecture reviews related to ontology evolution and data modeling standards.

What You Will Need:
  • A Bachelor's degree is required
  • A minimum of 8 years of experience building and operating production data pipelines and data models is required
  • Hands-on experience with Palantir Foundry, or strong data engineering experience with the ability to ramp quickly.
  • Palantir Foundry Ontology experience, including:
    • Entity and relationship modeling
    • Ontology-backed actions and workflows
    • Permissioning and governance within the ontology
  • Strong proficiency in SQL and at least one data engineering language (Python preferred; Scala/Java acceptable).
  • Experience implementing ETL/ELT pipelines, incremental processing, and transformation best practices.
  • Familiarity with governance fundamentals, including metadata, lineage, access controls, and data quality.
  • Strong communication skills and experience working directly with product and mission stakeholders.

What Would Be Nice To Have:
  • Palantir Application Developer experience, building operational applications and workflows on top of the ontology.
  • Bachelor's degree in Engineering, Computer Science, Information Systems, or a related field (or equivalent practical experience).
  • Palantir AIP experience, including:
    • Ontology-backed document understanding and summarization
    • Entity extraction and enrichment
    • Human-in-the-loop review with governance controls
  • Generative AI-assisted coding experience, such as:
    • Using AI copilots for pipeline development, transformations, ontology evolution, and code review
    • Applying generative AI to improve developer productivity while maintaining data quality and governance
  • Experience supporting ontology-first designs for case management systems.
  • Knowledge of entity resolution, relationship extraction, and graph-based modeling.
  • Familiarity with Databricks, Spark, or Lakehouse architectures in hybrid environments.
  • Exposure to CI/CD practices for data pipelines and ontology changes.

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