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Weekday Financial Data Engineer Jobs in Florida (NOW HIRING)

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

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

Data Engineer II, Financial Intelligence

Plantation, FL · On-site

$109K - $131K/yr

We are seeking an experienced Data Engineer II to design, develop, and maintain the data models and pipelines that support financial reporting, analytics, planning, and operational decision-making ...

Data Engineer

Orlando, FL · On-site

$106K - $128K/yr

Orlando, FL (Hybrid - 1 day onsite, 4 days remote) Duration: 3-6+ month contract Role Overview We are seeking a Data Engineer to support the Finance and BI teams by automating and optimizing data ...

S/He will oversee the design, architecture, and implementation of the RCG data products for Finance ... the data engineering goals. This role will require some international travel for meetings.

Data Engineer

Lake Buena Vista, FL · On-site

$101K - $136K/yr

Data Engineer Req ID: 10153225 The Disney Decision Science and Integration (DDSI) team leverages ... Finance with strategic applications that enable data-driven decision-making. What You Will Do The ...

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

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

We are looking for a Data Engineer Intern to support our analytics and data platform initiatives ... Understanding of financial data and transaction processing Soft Skills: * Attention to detail and ...

Financial data experience. Power BI: data transformation (power query M language), data modelling ... Data engineer: ETL process, data warehouse, Snowflake. Wide experience in collaboration with ...

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Weekday Financial Data Engineer information

What is the difference between Weekday Financial Data Engineer vs Financial Data Analyst?

AspectWeekday Financial Data EngineerFinancial Data Analyst
Required CredentialsBachelor's in Computer Science, Finance, or related field; experience with data engineering toolsBachelor's in Finance, Economics, or related field; strong analytical skills
Work EnvironmentData engineering teams, technical departments, often in tech-driven financial firmsFinance departments, investment firms, or banks, focusing on data interpretation
Employer & Industry UsageFinancial institutions, fintech companies, hedge fundsBanking, asset management, investment firms

Weekday Financial Data Engineers focus on building and maintaining data pipelines and infrastructure, while Financial Data Analysts interpret data to support decision-making. Both roles require strong analytical skills, but the engineer role emphasizes technical data management, whereas the analyst role centers on data analysis and reporting.

What are the most commonly searched types of Financial Data Engineer jobs in Florida?

The most popular types of Financial Data Engineer jobs in Florida are:

Financial Data Analyst

Appodeal

Parkland, FL • On-site

Full-time

Re-posted 25 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.