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Director Financial Data Engineer Jobs (NOW HIRING)

Data Engineer

Charleston, SC · On-site

$160K/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 ...

Finance Data Engineer

Austin, TX · On-site

$113K - $136K/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 ...

Finance Data Engineer

Austin, TX · On-site

$113K - $136K/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 ...

The IT Systems Analyst (Financial Data Engineering Analyst) provides technical and analytical support for information technology systems, applications, and business processes. This role works with ...

New

Data Engineer 3

San Jose, CA · Hybrid

$65.49/hr

The Financial Data Engineer performs a wide range of job duties utilizing technical know-how and develop an analytics product that will generate insights into financial metrics and customer journey.

Senior Data Engineer with Security Clearance

Chantilly, VA · On-site

$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 ...

Staff Data Engineer

Austin, TX · On-site

$160K - $195K/yr

Self Financial is a venture-backed, high-growth FinTech company with a mission to increase economic ... making a direct impact on our mission. We want you to provide technical leadership to your ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

... financial data integrity checks • Support the migration from legacy systems to a modern data ... engineering, including building, maintaining, and optimizing data pipelines and workflow • ...

... data flows accurately and efficiently across the entire enterprise ecosystem. What You'll Do ... Manage and mentor a high-performing team of systems analysts and integration engineers, fostering a ...

Sr. Snowflake Data Engineer - Finance

Austin, TX · On-site

$113K - $136K/yr

... financial reporting and decision-making. Responsibilities : • Serve as the Snowflake technical lead for Finance, defining architecture, standards, and best practices for data engineering and data ...

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 ...

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 ...

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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:
What states have the most Director Financial Data Engineer jobs? States with the most job openings for Director Financial Data Engineer jobs include:
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.
Data Engineer

$160K/yr

Full-time

Medical, Retirement

Posted 18 days ago


Job description

KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a Data Engineer that is based in Charleston, SC. Remote /hybrid flexibility.
Position Overview
We are seeking a highly capable Data Engineer to design and build the data infrastructure that powers investment operations, reporting, and business intelligence capabilities. This is a foundational role within a firm actively modernizing its data architecture by replacing fragmented automations with scalable, production-grade pipelines and establishing a centralized, reliable source of truth across multiple systems.
The Data Engineer will own the end-to-end data stack, including ingestion, transformation, modeling, data quality, and governance. This role requires deep technical expertise along with the ability to navigate a complex, multi-system financial data environment.
This position will play a central role in supporting the organization's evolving AI and analytics initiatives. The ideal candidate will help structure, govern, and optimize warehouse data to support future AI-enabled workflows and advanced reporting capabilities.
The Data Engineer will work closely with cross-functional teams including Operations, IT, business stakeholders, and external technology partners to ensure the data platform evolves in alignment with operational and strategic needs.
Key Responsibilities
Architecture & Infrastructure
* Evaluate and recommend scalable data architecture solutions, including warehouse and lakehouse strategies.
* Build and maintain a centralized cloud data warehouse environment.
* Design and maintain scalable ingestion pipelines across multiple operational and financial systems.
* Develop data structures and governance models that support analytics, reporting, and future AI-driven workflows.
* Ensure the data platform is designed with long-term scalability, security, and accessibility in mind.
Data Modeling & Transformation
* Design and implement canonical data models across financial and operational datasets.
* Write and optimize complex SQL queries, transformations, and performance-tuned data workflows.
* Replace manual or lightweight automations with production-grade ETL/ELT pipelines using Python and cloud-native tooling.
Integrations & APIs
* Build and maintain REST API integrations across third-party platforms and internal systems.
* Develop Python-based ingestion and transformation processes.
* Support orchestration and storage within a cloud environment using modern data engineering best practices.
Data Quality, Governance & Security
* Implement validation frameworks, deduplication logic, monitoring, and exception handling processes.
* Configure role-based access controls and maintain auditability across the data environment.
* Document and maintain end-to-end data lineage and governance standards.
* Support compliance and security requirements for sensitive financial and operational data.
Reporting & Documentation
* Deliver reporting-ready datasets supporting portfolio analytics, operational reporting, and business intelligence initiatives.
* Support BI tool integrations and semantic layer development for technical and non-technical users.
* Create and maintain documentation for architecture decisions, pipelines, and data dictionaries.
Cross-Functional Collaboration
* Partner closely with Operations, IT, and leadership teams to align data infrastructure with business goals.
* Participate in ongoing technology and systems planning initiatives.
* Act as a key liaison between technical and business stakeholders to ensure data solutions meet organizational needs.
Technical Requirements
* Advanced Python development for data engineering and automation
* Advanced SQL skills including performance optimization and complex transformations
* Strong experience with Snowflake or similar cloud data warehouse platforms
* Experience designing scalable data models and ETL/ELT pipelines
* REST API integration experience including authentication, pagination, and error handling
* Cloud platform experience, preferably AWS
* Strong understanding of data quality, governance, and access controls
* Ability to work cross-functionally in fast-paced environments
Preferred Skills
* Experience supporting AI or LLM-enabled workflows
* Financial services, private equity, asset management, or investment operations experience
* Familiarity with CRM, fund administration, or portfolio management platforms
* Experience with BI tools such as Tableau, Looker, or Sigma
Required Qualifications
* Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field
* 5+ years of experience in data engineering
* Strong production experience with Python and SQL
* Experience building scalable cloud-based data platforms
* Strong documentation and communication skills
Preferred
* Experience working with financial datasets and investment operations
* Exposure to AI-driven analytics or agent-based workflows
* Experience implementing enterprise reporting and business intelligence solutions
Core Competencies
* Ownership and accountability
* Strong analytical and systems thinking
* Cross-functional collaboration
* Clear communication with technical and non-technical stakeholders
* Adaptability in fast-paced environments
* High standards for governance, accuracy, and compliance
Location & Work Environment
This position is preferably based in the Southeast United States, though remote candidates may be considered for the right fit.
Compensation & Benefits
* Competitive compensation package
* Performance-based incentives
* Comprehensive health and retirement benefits
* High visibility with leadership and strategic initiatives
* Opportunity to help build foundational infrastructure within a growing organization
Job Requirements
Compensation depends on experience but is typically 145-160k
ABOUT KORE1
Specializing in professional and technical recruiting, KORE1 is committed to supporting top IT, Engineering, Creative, Scientific, Accounting and Finance professionals in their career paths. We build deep relationships with leading companies, connecting them to exceptional talent every day. With extensive industry expertise and unmatched opportunities, our goal is to provide a unique experience for our contractors and consultants as they prepare for their next role. We are passionate about matching the right people with the right companies.
Kore1 provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Kore1 complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Kore1 expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Kore1's employees to perform their job duties may result in discipline up to and including discharge.