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Director Financial Data Engineer Jobs in Boca Raton, FL

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 ...

Appodeal

Financial Data Analyst

Parkland, FL · On-site

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

CAI

Financial Data Analyst

Miramar, FL · Hybrid

Financial Data Analyst Req number: R6473 Employment type: Full time Worksite flexibility: Onsite ... role will be direct employment with CAI. This position does not offer work authorization ...

GEI Consultants

Data Engineer

West Palm Beach, FL · On-site

$110K - $133K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses

GEI Consultants

Data Engineer

West Palm Beach, FL

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses

AgileEngine

Senior Data Engineer ID75059

West Palm Beach, FL · On-site +1

$102K - $139K/yr

... financial data daily. You will implement Python-based ETL/ELT pipelines, orchestrate workflows with Airflow, develop ingestion workflows from third-party APIs, and work with Snowflake, Spark, and AWS ...

AgileEngine

Senior Data Engineer ID75059

Fort Lauderdale, FL · On-site +1

$101K - $137K/yr

... financial data daily. You will implement Python-based ETL/ELT pipelines, orchestrate workflows with Airflow, develop ingestion workflows from third-party APIs, and work with Snowflake, Spark, and AWS ...

AgileEngine

Senior Data Engineer ID75059

Boca Raton, FL · On-site +1

$100K - $136K/yr

... financial data daily. You will implement Python-based ETL/ELT pipelines, orchestrate workflows with Airflow, develop ingestion workflows from third-party APIs, and work with Snowflake, Spark, and AWS ...

AgileEngine

Senior Data Engineer ID75059

West Palm Beach, FL · On-site

$102K - $139K/yr

... financial data daily. You will implement Python-based ETL/ELT pipelines, orchestrate workflows with Airflow, develop ingestion workflows from third-party APIs, and work with Snowflake, Spark, and AWS ...

ARC Group

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

This is 100 REMOTE and a full-time direct hire and requires you to currently hold permanent work authorization (no C2C). The Azure Data Engineer is 100% remote and working in the eastern time zone ...

ChenMed, LLC

Senior Data Engineer

Miami, FL · On-site

$99K - $141K/yr

The Senior Data Engineer will play a crucial role in developing, improving, and maintaining our ... Experience in the healthcare or finance industry PAY RANGE: $99,369 - $141,957 Salary The posted ...

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Showing results 1-20

All JobsFinancial Data Engineer JobsDirector Financial Data Engineer JobsDirector Financial Data Engineer Jobs in Boca Raton, FL

Director Financial Data Engineer information

See Boca Raton, FL salary details

$69.3K

$184.8K

$241K

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

As of Jul 27, 2026, the average yearly pay for director financial data engineer in Boca Raton, FL is $184,772.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,300.00 and $240,100.00 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.
What job categories do people searching Director Financial Data Engineer jobs in Boca Raton, FL look for? The top searched job categories for Director Financial Data Engineer jobs in Boca Raton, FL are:
Director Financial Data Engineer jobs near you
Financial Data Analyst

Financial Data Analyst

Appodeal

Parkland, FL

Other

Posted 14 days ago

Job description

We are seeking a Financial Data Analyst to own the integrity, structure, and usability of financial data across systems. This role sits at the intersection of Finance, Data, and Systems, ensuring that financial metrics are accurate, scalable, and directly usable for decision-making.The role will build and maintain a finance data layer that acts as the single source of truth and powers AI-driven insights and dashboards, and dynamically produce reports that drive business decisions.

Key Responsibilities 

Financial Data Integrity:

  • Ensure accuracy and consistency of financial data across:  
    - ERP (e.g., NetSuite), 
    - operational systems,
    - data warehouse / BI tools.  
  • Reconcile partner reported revenue across SSPs, DSPs, and exchanges with internal reporting and analytics.
  • Identify and resolve discrepancies between systems (e.g., revenue, cost, payments).
  • Establish repeatable reconciliation frameworks (not ad hoc fixes).

Data Pipeline & Systems Ownership:

  • Partner with Data Engineering to:  
    - define financial data requirements, 
    - validate pipelines and transformations,  
    - ensure correct data mapping and lineage.
  • Maintain and improve the financial system of record.
  • Translate accounting logic into data models and rules.  

Metrics & Data Modeling:

  • Define and maintain key financial metrics (revenue, gross profit, margins, etc.).
  • Ensure alignment between:  
    - dashboards,
    - internal reporting,  
    - financial statements; 
  •  Build datasets that support:  
    - executive reporting,
    - product and operational analysis.
  • Build dynamic, forecasting models that pull from historical data, update with new actuals, and support flexible scenario and assumption inputs.

Close & Reporting Support:

  • Support month-end close through:  
    - data validation,
    reconciliation automation.
  • Reduce reliance on manual journal entries by improving upstream data quality.

Controls & Audit Readiness:

  • Implement data-level controls to prevent errors at the source.  
  • Ensure financial data is:  
    - auditable,
    - traceable from source to reporting.
  • Support audits with clear data documentation.

Cross-Functional Collaboration 

  • Work closely with:  
    - Accounting,
    - FP&A,
    - Data Engineering,
    - Product / Operations.  
  • Act as a translator between finance requirements and technical implementation.  

Qualifications 

Required:

  • Bachelor's degree in Accounting, Finance, Data, or related field.
  • 2-5+ years experience in:  
    - financial data analysis, 
    - business intelligence,
    - or FP&A with strong data exposure.
  • Strong SQL skills.
  • Advanced Excel.
  • Familiarity with ERP systems (NetSuite).
  • Experience working with large datasets and high-volume environments (FinTech, Banking, Marketplaces, AdTech, or similar).  
  • Python - a plus.
  • Experience with BI tools (Tableau, Looker, Power BI) - a plus.

Skills & Competencies: 

  • Strong systems thinking (understands end-to-end data flows).  
  • Ability to identify root causes of data discrepancies.
  • Detail-oriented with high standards for data accuracy. 
  • Automation mindset (eliminate manual work).
  • Ability to communicate with both finance and engineering teams. 

Why join Appodeal?

  • Be part of a mission-driven company that empowers mobile businesses worldwide.
  • Work with a talented international team that values creativity, ownership, and collaboration.
  • Grow your career in a fast-paced, innovative environment where your work makes a real impact.
  • Competitive compensation, flexible working arrangements, and opportunities for professional development.

Apply