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Senior Financial Data Engineer Jobs in Miami, FL

Senior Data Engineer

Miami, FL

$101K - $137K/yr

The Senior Data Engineer is responsible for delivering, managing, and operating scalable trusted data products and platforms that enable trusted analytics, AI/ML, and Generative AI use cases. The ...

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

The Senior Data Engineer is responsible for delivering, managing, and operating scalable trusted data products and platforms that enable trusted analytics, AI/ML, and Generative AI use cases. The ...

Sr. Financial Analyst

Miami, FL

$73K - $91K/yr

We produce and distribute premier filmed entertainment and programming through our powerhouse film ... Consolidate and validate financial data from multiple business units and systems. * Develop and ...

Sr. Financial Analyst

Miami, FL

$73K - $91K/yr

We produce and distribute premier filmed entertainment and programming through our powerhouse film ... Consolidate and validate financial data from multiple business units and systems. * Develop and ...

Sr. Financial Analyst

Miami, FL · On-site

$73K - $91K/yr

We produce and distribute premier filmed entertainment and programming through our powerhouse film ... Consolidate and validate financial data from multiple business units and systems. * Develop and ...

Senior Financial Analyst

Miami, FL

$81K - $101K/yr

Support ad-hoc requests from senior management for financial data and analysis. * Collaborate with cross-functional teams to understand business objectives and develop strategies to achieve them.

Senior Financial Analyst

Plantation, FL

$81K - $101K/yr

Serve as a Finance Business Partner for enterprise G&A functions, providing trusted, data-driven financial partnership and guidance to senior leaders and cross-functional stakeholders. * Steward ...

Senior Financial Analyst

Plantation, FL · On-site

$84K - $105K/yr

Serve as a Finance Business Partner for enterprise G&A functions, providing trusted, data-driven financial partnership and guidance to senior leaders and cross-functional stakeholders. * Steward ...

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Showing results 1-20

Senior Financial Data Engineer information

See Miami, FL salary details

$77.5K

$120.8K

$167.4K

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

As of Sep 6, 2026, the average yearly pay for senior financial data engineer in Miami, FL is $120,826.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,400.00 and $137,700.00 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.

What are the most commonly searched types of Financial Data Engineer jobs in Miami, FL?

The most popular types of Financial Data Engineer jobs in Miami, FL are:

What are popular job titles related to Senior Financial Data Engineer jobs in Miami, FL?

For Senior Financial Data Engineer jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Senior Financial Data Engineer jobs in Miami, FL look for?

The top searched job categories for Senior Financial Data Engineer jobs in Miami, FL are:

What cities near Miami, FL are hiring for Senior Financial Data Engineer jobs?

Cities near Miami, FL with the most Senior Financial Data Engineer job openings:

Data Engineer II, Financial Intelligence

Chewy

Plantation, FL

$109K - $131K/yr

Full-time

Posted 12 days ago


Chewy rating

6.8

Company rating: 6.8 out of 10

Based on 230 frontline employees who took The Breakroom Quiz

10th of 39 rated national retailers


Job description

Our Opportunity:

At Chewy, Financial Intelligence is building trusted, scalable, and well-governed data solutions that enable Finance and Accounting teams to make faster, more informed decisions. 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 across the enterprise.

In this role, you will focus on transforming complex financial and operational data into reliable, well-structured, and reusable data models using dbt Cloud and Snowflake. You will work closely with Finance, Accounting, Analytics, and other business partners to understand business processes, define requirements, and translate those needs into scalable technical solutions and trusted data products.

The ideal candidate brings strong SQL, dbt, Snowflake, and data modeling expertise, along with the ability to work directly with business users and explain technical concepts in clear business terms. This is an opportunity to strengthen Chewy's Financial Intelligence data foundation, improve the consistency and usability of financial data, and help Finance and Accounting teams access trusted information more efficiently.

What You’ll Do:

  • Design, develop, and maintain scalable data models in dbt Cloud and Snowflake that support Finance, Accounting, reporting, planning, and analytical use cases.

  • Partner directly with Finance, Accounting, and business stakeholders to understand business processes, reporting requirements, data definitions, and analytical needs.

  • Translate business requirements into well-designed, reusable, and maintainable dimensional, fact, aggregation, and analytical data models.

  • Build and support ETL/ELT processes that transform source data into trusted analytical datasets, with a primary emphasis on transformation and modeling.

  • Implement data quality controls and validation to ensure the accuracy, completeness, consistency, and reliability of financial data.

  • Investigate and resolve data discrepancies, reporting issues, transformation failures, and differences between source systems and downstream financial reporting.

  • Optimize SQL and dbt models for performance, maintainability, scalability, and cost efficiency while documenting model dependencies, transformations, and metric definitions.

  • Identify opportunities to simplify data transformations, reduce manual Finance processes, improve self-service access to trusted data, and apply practical automation where it adds value.

What You’ll Need:

  • Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, Finance, or a related field, or equivalent practical experience.

  • 5+ years of experience in data engineering, analytics engineering, business intelligence engineering, or a related data discipline.

  • Strong proficiency in SQL, including experience developing complex transformations and analytical data models.

  • Strong hands-on experience with dbt, including model development, testing, documentation, dependencies, reusable components, and development best practices.

  • Experience working with Snowflake or a similar cloud data warehouse.

  • Strong understanding of dimensional data modeling, including fact tables, dimensions, grain, relationships, slowly changing dimensions, and reusable analytical datasets.

  • Demonstrated experience working directly with business users and analysts to gather requirements, validate solutions, troubleshoot data issues, and explain technical concepts in business terms.

  • Experience supporting Finance, Accounting, FP&A, financial reporting, or other financial data domains preferred, with strong analytical, communication, documentation, and stakeholder partnership skills.

Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.

To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.


What Chewy employees say

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About Chewy

Sourced by ZipRecruiter

Chewy is a prominent player in the e-commerce industry, specifically dedicated to pet owners. Based in Dania Beach, Florida, the company was founded in 2011 with the aim to make pet shopping easier and more convenient. Chewy offers a wide range of products including pet food, toys, and other pet-related essentials from over 1,000 trusted brands, along with prescription food and medications from certified veterinarians. The company stands out for its dedication to providing 24/7 customer service and shipping orders over $49 for free. Chewy's mission is to be the most trusted and convenient online destination for pet parents everywhere by committed to delivering pet happiness.

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Plantation, FL, US

Year founded

2011