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Financial Data Engineer Jobs (NOW HIRING)

Apple

Finance Data Engineer

Austin, TX

$146K - $244K/yr

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent ...

Anika Systems

Data Engineer

Leesburg, VA · Remote

$115K - $139K/yr

XBRL & Financial Data Processing * Develop pipelines to ingest, parse, and normalize XBRL ... Context Engineering & Data Modeling Support * Apply context engineering principles to ensure data ...

Capital One

Lead Data Engineer (Finance Tech)

Richmond, VA

$113K - $136K/yr

Lead Data Engineer (Finance Tech) Do you love building and pioneering in the technology space? Do ... By defining the next generation of financial technology, we ensure that every business process is ...

Capital One

Lead Data Engineer (Finance Tech)

Richmond, VA · On-site

$113K - $136K/yr

Lead Data Engineer (Finance Tech) Do you love building and pioneering in the technology space? Do ... By defining the next generation of financial technology, we ensure that every business process is ...

Anika Systems

Data Engineer

Leesburg, VA · Remote

$117K - $140K/yr

XBRL & Financial Data Processing * Develop pipelines to ingest, parse, and normalize XBRL ... Context Engineering & Data Modeling Support * Apply context engineering principles to ensure data ...

Carlyle

Data Engineer

Washington, DC · On-site

$160K - $200K/yr

Data Engineer Location: Washington, DC Line of Business: Data Science Job Function: Investor ... The role demands expertise in Python, deep familiarity with financial data sources, and the ability ...

Capital One

Lead Data Engineer (Finance Tech)

Cambridge, MA

$125K - $150K/yr

Lead Data Engineer (Finance Tech) Do you love building and pioneering in the technology space? Do ... By defining the next generation of financial technology, we ensure that every business process is ...

Anika Systems

Data Engineer

Leesburg, VA · On-site +1

$115K - $139K/yr

XBRL & Financial Data Processing * Develop pipelines to ingest, parse, and normalize XBRL ... Context Engineering & Data Modeling Support * Apply context engineering principles to ensure data ...

Capital One

Lead Data Engineer (Finance Tech)

Mclean, VA · On-site

$115K - $139K/yr

Lead Data Engineer (Finance Tech) Do you love building and pioneering in the technology space? Do ... By defining the next generation of financial technology, we ensure that every business process is ...

Benesch Law

Financial Data Analyst

Cleveland, OH · On-site

$81K - $98K/yr

Then the Financial Data Analyst position may be what you're looking for! This position is the ... Bachelor's degree in computer science, business intelligence, data engineering or business ...

Apple

Finance Data Engineer

Austin, TX

$146K - $244K/yr

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent ...

Benesch

Financial Data Analyst

Cleveland, OH · Hybrid

$81K - $98K/yr

Then the Financial Data Analyst position may be what you're looking for! This position is the ... Bachelor's degree in computer science, business intelligence, data engineering or business ...

Apple

Finance Data Engineer

Austin, TX

$146K - $244K/yr

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent ...

Apple

Finance Data Engineer

Austin, TX

$146K - $244K/yr

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent ...

Exactera

Staff Data Engineer

San Diego, CA

$121K - $146K/yr

The Role As Staff Data Engineer, you will provide senior onshore technical leadership for the data ... Experience with financial data, accounting systems (NetSuite), or enterprise ERP platforms

Purpose Financial

Data Engineer

Greenville, SC · On-site

$107K - $129K/yr

Purpose Financial Address : 322 Rhett Street, Greenville, South Carolina, United States - 29601 ... Position Summary The Data Engineer will play a critical role in designing, building, and ...

Humana, Inc.

Lead Data Engineer

$117K - $140K/yr

Lead month-end Finance data operationalization processes, including ingestion, snapshot management, reconciliations, validation controls, auditability, and close-cycle reporting readiness.

Prosum Inc.

Sr. Data Engineer

Glendale, CA · On-site

$93.95/hr

Sr. Data Engineer Location: Glendale, CA (Onsite/Hybrid - details upon request) Pay Rate: Up to $93 ... Design, build, and maintain scalable data pipelines integrating financial and operational data from ...

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Financial Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do financial data engineer jobs pay per year?

As of Jun 24, 2026, the average yearly pay for financial data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a Financial Data Engineer job?

A Financial Data Engineer is responsible for designing, building, and optimizing data pipelines that process and analyze financial data. They work with large datasets, databases, and cloud platforms to ensure data is accurate, efficient, and accessible for financial analysts and decision-makers. This role requires expertise in programming languages like Python or SQL, data modeling, and financial domain knowledge. Financial Data Engineers help improve data quality and automate workflows, enabling organizations to make data-driven financial decisions.

What types of projects or responsibilities can I expect as a Financial Data Engineer?

As a Financial Data Engineer, you’ll typically design, develop, and maintain pipelines that collect and process large sets of raw financial data for analysis and reporting. You’ll work closely with data scientists, financial analysts, and software engineers to ensure high data quality and seamless integration with downstream applications. Common projects include automating data ingestion from different sources, transforming and warehousing financial datasets, and helping implement analytics or business intelligence platforms. The role often involves troubleshooting data issues, optimizing performance, and supporting strategic business initiatives through actionable data insights. This environment provides excellent opportunities for both technical growth and exposure to the finance industry.

What are the key skills and qualifications needed to thrive in the Financial Data Engineer position, and why are they important?

To thrive as a Financial Data Engineer, you need strong programming skills (such as Python or SQL), expertise in data modeling, and a solid understanding of financial systems or markets, typically supported by a degree in computer science, finance, or a related field. Familiarity with tools like AWS, Hadoop, Spark, or Tableau, and relevant certifications such as CFA or data engineering qualifications, are highly valued. Strong problem-solving abilities, analytical thinking, and effective communication skills set top candidates apart in this field. These skills ensure accurate financial data solutions, seamless collaboration with stakeholders, and the ability to adapt to rapidly evolving financial technologies.

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Financial Data Engineer jobs near you

Senior Data Engineer with MDM

Interon IT Solutions

Iselin, NJ • On-site

$107K - $146K/yr

Contractor

Posted 28 days ago

Job description

 Job title-Senior Data Engineer with MDM

Location- Iselin, NJ (Need Onsite day 1, hybrid 3 days from office).

Our Client is seeking a Senior Data Engineer with MDM experience to join our team in Iselin, NJ (Need Onsite day 1, hybrid 3 days from office).

Job Description:

We are seeking a highly skilled and experienced Senior Data Engineer specializing in Master Data Management (MDM) to join our data team. The ideal candidate will have a strong background in designing, implementing, and managing end-to-end MDM solutions, preferably within the financial sector. Candidate will be responsible for architecting robust data platforms, evaluating MDM tools, and aligning data strategies to meet business needs.

Responsibilities:

  • Lead the design, development, and deployment of comprehensive MDM solutions across the organization, with an emphasis on financial data domains.
  • Demonstrate extensive experience with multiple MDM implementations, including platform selection, comparison, and optimization.
  • Architect and present end-to-end MDM architectures, ensuring scalability, data quality, and governance standards are met.
  • Evaluate various MDM platforms (e.g., Informatica, Reltio, Talend, IBM MDM, etc.) and provide objective recommendations aligned with business requirements.
  • Collaborate with business stakeholders to understand reference data sources and develop strategies for managing reference and master data effectively.
  • Implement data integration pipelines leveraging modern data engineering tools and practices.
  • Develop, automate, and maintain data workflows using Python, Airflow, or Astronomer.
  • Build and optimize data processing solutions using Kafka, Databricks, Snowflake, Azure Data Factory (ADF), and related technologies.
  • Design microservices, especially utilizing GraphQL, to enable flexible and scalable data services.
  • Ensure compliance with data governance, data privacy, and security standards.
  • Support CI/CD pipelines for continuous integration and deployment of data solutions.

Requirements:

  • 12+ years of experience in data engineering, with a proven track record of MDM implementations, preferably in the financial services industry.
  • Extensive hands-on experience designing and deploying MDM solutions and comparing MDM platform options.
  • Strong functional knowledge of reference data sources and domain-specific data standards.
  • Expertise in Python, Pyspark, Kafka, microservices architecture (particularly GraphQL), Databricks, Snowflake, Azure Data Factory, SQL, and orchestration tools such as Airflow or Astronomer.
  • Familiarity with CI/CD practices, tools, and automation pipelines.
  • Ability to work collaboratively across teams to deliver complex data solutions.
  • Experience with financial systems (capital markets, credit risk, and regulatory compliance applications).

Preferred, but not required:

  • Familiarity with financial data models and regulatory requirements.
  • Experience with Azure cloud platforms
  • Knowledge of data governance, data quality frameworks, and metadata management