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Director Financial Data Engineer Jobs (NOW HIRING)

VTG

Senior Data Engineer

Herndon, VA

$109K - $148K/yr

In this dynamic role, you will not only support the team in conditioning financial data but also play a key role in the adoption of modern data engineering practices. Your contributions will directly ...

VTG

Senior Data Engineer

Chantilly, VA

$109K - $148K/yr

In this dynamic role, you will not only support the team in conditioning financial data but also play a key role in the adoption of modern data engineering practices. Your contributions will directly ...

LCS

Director, Financial Systems

Des Moines, IA · On-site

... Engineer This position partners closely with Finance and Operational leadership Experience is ... Ensure the integrity, accuracy, and confidentiality of financial and transactional data across all ...

LCS

Director, Financial Systems

Des Moines, IA

... Engineer This position partners closely with Finance and Operational leadership Experience is ... Ensure the integrity, accuracy, and confidentiality of financial and transactional data across all ...

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 ... direct stakeholder engagement Preferred But Not Required * Experience with financial data ...

KORE1 Technologies

Data Engineer

Charleston, SC · On-site +1

$107K - $128K/yr

The Data Engineer will own the end-to-end data stack, including ingestion, transformation, modeling ... Design and implement canonical data models across financial and operational datasets. * Write and ...

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Director Financial Data Engineer information

See salary details

$73K

$194.7K

$254K

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

As of Jul 20, 2026, the average yearly pay for director financial data engineer in the United States is $194,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,500.00 and $253,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Director Financial Data Engineer, you need deep expertise in data engineering, financial systems, and analytics, usually backed by a degree in computer science, finance, or a related field. Proficiency with big data platforms (such as Hadoop, Spark), programming languages (Python, SQL), and cloud data solutions, along with certifications like AWS Certified Data Analytics or Google Professional Data Engineer, is highly valuable. Strong leadership, communication, and strategic thinking skills help drive cross-functional teams and align data initiatives with business goals. These capabilities are essential for delivering reliable financial insights, ensuring data integrity, and supporting effective decision-making in complex financial environments.

How does a Director Financial Data Engineer typically collaborate with other departments to drive business outcomes?

A Director Financial Data Engineer works closely with cross-functional teams, including finance, IT, risk management, and business analytics, to ensure that financial data solutions align with organizational goals. They often lead data integration projects, facilitate communication between technical and non-technical stakeholders, and translate complex financial data requirements into actionable engineering tasks. This collaboration is crucial for delivering timely insights, maintaining data integrity, and supporting strategic decisions across the company. Building strong relationships and understanding the specific needs of each department are key aspects of the role.

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

AspectDirector Financial Data EngineerFinancial Data Engineer
CredentialsBachelor's/Master's in Computer Science, Finance, or related; often with leadership experienceBachelor's or higher in Computer Science, Data Science, or related; technical certifications beneficial
Work EnvironmentLeadership role overseeing teams, strategic planning, cross-department collaborationHands-on data pipeline development, data modeling, coding, and analysis
Employer & Industry UsageFinancial institutions, banks, investment firms, fintech companiesFinancial services, banking, investment firms, fintech companies

The main difference is that the Director Financial Data Engineer focuses on leadership, strategy, and team management, while the Financial Data Engineer is primarily involved in technical data engineering tasks. Both roles are essential in financial data operations but differ in scope and responsibilities.

What does a Director Financial Data Engineer do?

A Director Financial Data Engineer leads teams responsible for designing, building, and maintaining complex data systems that support financial operations and decision-making. They oversee the development of data pipelines, ensure data quality and security, and collaborate with other departments to deliver actionable financial insights. This role requires strong technical expertise in data engineering, deep knowledge of financial systems, and proven leadership skills. Additionally, they set strategies for data architecture, mentor engineering staff, and drive innovation in data analytics within the organization.
More about Director Financial Data Engineer jobs
What cities are hiring for Director Financial Data Engineer jobs? Cities with the most Director Financial Data Engineer job openings:
What are the most commonly searched types of Financial Data Engineer jobs? The most popular types of Financial Data Engineer jobs are:
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Director Financial Data Engineer jobs near you
Infographic showing various Director Financial Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $194,709 per year, or $93.6 per hour.
Senior Data Engineer

Senior Data Engineer

VTG

Herndon, VA

$109K - $148K/yr

Full-time

Re-posted 2 days ago

Job description

Overview

VTG is seeking a talented and experienced Senior Data Engineer to serve as an integrator between business needs and technical solutions. Must be able to work creatively and efficiently to solve difficult technical problems.

In this dynamic role, you will not only support the team in conditioning financial data but also play a key role in the adoption of modern data engineering practices. Your contributions will directly impact the efficiency and effectiveness of data processing, setting the stage for advanced data analysis and decision-making. The ideal candidate will bring a proven track record of building and implementing ETL processes, with a keen eye for optimizing data for various enterprise applications. If you have a passion for data engineering and are ready to take on a challenge that marries technical prowess with mission-critical analysis, this is the opportunity for you.


What will you do?

  • As a Data Engineer in this role, you will be at the forefront of transforming financial data into actionable insights for a mission-driven customer.

  • Your primary responsibility will be to develop, optimize, and maintain robust ETL processes and data pipelines.

  • You will leverage your expertise in Python and SQL to condition and normalize both raw and structured data, enhancing its usability and searchability within downstream enterprise tools. Your work will be pivotal in implementing cutting-edge technology, including AI models, to improve data fidelity and accelerate data engineering tasks.

  • Familiarity with Apache Airflow and Apache Hop will be beneficial as you build new and repeatable workflows to support the team's objectives.

  • Your success in this position will be bolstered by your ability to work independently as well as collaboratively with a team of technical experts, data managers, and operational stakeholders. Experience with Amazon Web Services (AWS) will be crucial as you deploy scalable solutions in a cloud environment. While not mandatory, a background in Kubernetes will give you an edge, as will any experience with financial data and language translation models.


Do you have what it takes?
  • Active TS/SCI with Polygraph required.
  • Bachelor’s degree in computer science, Software Engineering, or related field.

Required Skills:

  •  Python
  •  Structured Query Language (SQL)
  •  Apache Airflow
  •  Apache Hop
  •  Experience normalizing raw, unstructured, and structured data
  •  Ability to work independently and collaboratively
  •  Experience building, optimizing, and implementing ETL processes and data pipelines
  •  Experience with Amazon Web Services (AWS)           

Desired Skills:

  •  Experience with financial data
  •  Experience with language translation models
  •  Experience using Kubernetes

This position is open for current and future positions.

Qualifications:
  • Active TS/SCI with Polygraph required.
  • Bachelor’s degree in computer science, Software Engineering, or related field.

Required Skills:

  •  Python
  •  Structured Query Language (SQL)
  •  Apache Airflow
  •  Apache Hop
  •  Experience normalizing raw, unstructured, and structured data
  •  Ability to work independently and collaboratively
  •  Experience building, optimizing, and implementing ETL processes and data pipelines
  •  Experience with Amazon Web Services (AWS)           

Desired Skills:

  •  Experience with financial data
  •  Experience with language translation models
  •  Experience using Kubernetes

This position is open for current and future positions.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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