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Senior Financial Data Engineer Jobs (NOW HIRING)

Planned Parenthood Federation of America Inc.

$70 - $86/hr

This individual will support affiliate discussions by translating financial data into actionable recommendations. The Senior Financial Analyst will collaborate and maintain relationships with ...

New

Appodeal

Financial Data Analyst

Parkland, FL

Partner with Data Engineering to: - define financial data requirements, - validate pipelines and transformations, - ensure correct data mapping and lineage. * Maintain and improve the financial ...

VTG

Senior Data Engineer with Security Clearance

Chantilly, VA · On-site

$109K - $148K/yr

Overview VTG is seeking a talented and experienced Senior Data Engineer to serve as an integrator ... In this dynamic role, you will not only support the team in conditioning financial data but also ...

Accord Technologies Inc.

Sr. Big Data Engineer

Charlotte, NC · On-site

$54.50 - $72/hr

Big Data Engineer Location: Charlotte, NC (onsite) Duration : 12 months ext. Job Type: W2 contract ... Implement data governance and quality frameworks for financial data * Collaborate with data ...

Sanford Health

Senior Financial Analyst

Fargo, ND · On-site

$83K - $104K/yr

Maintain and report management systems, reviewing all financial data for accuracy. Maintains ... The Senior Financial Analyst works on projects that contribute to the financial functioning of ...

Sanford Health

Senior Financial Analyst

Fargo, ND · On-site

$83K - $104K/yr

Maintain and report management systems, reviewing all financial data for accuracy. Maintains ... The Senior Financial Analyst works on projects that contribute to the financial functioning of ...

Keurig Dr Pepper

Senior Financial Analyst

Frisco, TX · On-site

$76K/yr

Job Title: Sr. Financial Data Analyst, Corporate FP&A This role is specific to the current Coffee Operating Unit of KDP. Following the recent, successful acquisition of JDE Peet's in April 2026, the ...

KayDev Technology, LLC

Data Engineer

Manhattan, NY · On-site

$67.43/hr

The position focuses on data engineering, architecture, governance, financial-data validation, automated data ingestion, reporting, visualization, and cloud-based data platforms. Required ...

New

Sanford Health

Senior Financial Analyst

Marshfield, WI · On-site

$85K - $106K/yr

Maintain and report management systems, reviewing all financial data for accuracy. Maintains ... The Senior Financial Analyst works on projects that contribute to the financial functioning of ...

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Senior Financial Data Engineer information

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$81K

$126.3K

$175K

How much do senior financial data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for senior financial data engineer in the United States is $126,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $144,000.00 per year, depending on experience, location, and employer.

What does a senior financial data engineer do?

A Senior Financial Data Engineer designs, builds, and manages data infrastructure specifically for financial systems and organizations. They work with large volumes of financial data, ensuring its quality, security, and accessibility for analysis and reporting. This role often involves collaborating with data scientists, analysts, and business stakeholders to create pipelines and tools that support financial modeling, risk assessment, and business intelligence. Senior Financial Data Engineers also play a key role in implementing best practices for data governance and regulatory compliance.

How does a senior financial data engineer typically collaborate with cross-functional teams in a financial organization?

A Senior Financial Data Engineer often works closely with data analysts, financial modelers, software developers, and business stakeholders to design and implement robust data pipelines and solutions. Collaboration involves translating business requirements into technical specifications, ensuring data quality and compliance, and enabling seamless data integration across platforms. Regular meetings and agile ceremonies are common, fostering open communication and fast adaptation to changing business needs. This cross-functional teamwork is crucial for delivering accurate, timely financial insights and supporting strategic decision-making.

What are the key skills and qualifications needed to thrive as a senior financial data engineer, and why are they important?

To thrive as a Senior Financial Data Engineer, you need advanced knowledge in data engineering, financial data modeling, and programming languages such as Python or Scala, usually supported by a degree in computer science, finance, or a related field. Familiarity with big data platforms (like Hadoop or Spark), cloud services (AWS, Azure, or GCP), and data warehousing solutions, along with certifications in relevant technologies, are typically required. Strong problem-solving, communication, and project management skills distinguish top performers in this role. These competencies are crucial for efficiently transforming complex financial data into actionable insights and ensuring accuracy, security, and scalability in financial systems.

What is the difference between Senior Financial Data Engineer vs Financial Data Engineer?

AspectSenior Financial Data EngineerFinancial Data Engineer
Required CredentialsBachelor's/Master's in Computer Science, Finance, or related; experience in data engineeringBachelor's in relevant field; entry-level experience in data engineering
Work EnvironmentFinancial institutions, investment firms, banksFinancial firms, fintech companies, data consultancies
Employer & Industry UsageUsed in finance-heavy roles requiring advanced data skillsEntry to mid-level roles in finance and data sectors

The main difference is experience level and responsibility. Senior Financial Data Engineers handle complex data projects, mentor teams, and have more strategic input, while Financial Data Engineers focus on building and maintaining data pipelines at an entry or mid-level. Both roles require strong technical skills and finance industry knowledge, but the senior role involves leadership and advanced problem-solving.

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Senior Financial Data Engineer jobs near you
Infographic showing various Senior Financial Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.

Senior Data Engineer with MDM

Interon IT Solutions

Iselin, NJ • On-site

$107K - $146K/yr

Contractor

Re-posted 10 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