ZipRecruiter

Log In

1

Software Developer Data Analyst Jobs in Miami, FL

ReturnPro

Data Engineer

Aventura, FL · On-site

$109K - $131K/yr

You will be responsible for architecting scalable data and analytic systems, ensuring data integrity, and implementing software engineering best practices and patterns. The ideal candidate has a ...

Unchain Data

Data Scientist

Miami, FL · On-site

Partner with Data Operations and Software Engineering to improve ingestion, transformation ... Apply data science and analytical methods to develop reusable models, reports, dashboards, and ...

Royal Caribbean Group

Sr. Analyst, Data Science

Miami, FL · On-site

$82K - $103K/yr

... software applications, operating both in the cloud (primarily Azure platform) and on-premises for ... Knowledge of computer science or engineering technical concepts, practices and procedures within a ...

Next Step Systems

SQL Developer

Fort Lauderdale, FL · On-site

$43.25 - $59.25/hr

... Software Engineer, Software Developer, Programming, Programmer Analyst, Florida Recruiters ... We help companies that are looking to hire SQL Data Analysts for jobs in Fort Lauderdale, Florida ...

ARC Group

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

In your role, you will work with our software developers, database architects, data analysts, and data scientists on data initiatives and will ensure that the optimal data delivery is consistent ...

previous page

Showing results 41-60

All JobsSoftware Developer Data Analyst JobsSoftware Developer Data Analyst Jobs in Miami, FL

Software Developer Data Analyst information

See Miami, FL salary details

$23

$44

$58

How much do software developer data analyst jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for software developer data analyst in Miami, FL is $44.56, according to ZipRecruiter salary data. Most workers in this role earn between $33.80 and $53.32 per hour, depending on experience, location, and employer.

Can a data analyst become a software developer?

A data analyst can transition to a software developer role by learning programming languages such as Python, Java, or C++, and gaining experience with software development tools and practices. Many skills from data analysis, like problem-solving and understanding data structures, are transferable, but additional coding and development experience are typically required.

What pays more, a software developer or a data analyst?

Software developers generally earn higher salaries than data analysts due to the demand for programming skills, experience with coding languages, and involvement in software creation. Data analysts typically have lower starting salaries but can increase earnings with advanced analytics skills, certifications, and experience working with tools like SQL, Python, or R.

What cities near Miami, FL are hiring for Software Developer Data Analyst jobs?

Cities near Miami, FL with the most Software Developer Data Analyst job openings:

Infographic showing various Software Developer Data Analyst job openings in Miami, FL as of September 2026, with employment types broken down into 80% Full Time, 5% Temporary, and 15% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $92,695 per year, or $44.6 per hour.

Data Engineer

Aventura, FL • On-site

ReturnPro
See more jobs at ReturnProexternal

$109K - $131K/yr

Full-time

Re-posted 27 days ago

Key responsibilities

  • Design, develop, and optimize end-to-end data pipelines and cloud-based data solutions.

  • Architect and manage scalable data lakes, data warehouses, and big data frameworks to support analytics and reporting.

  • Implement and maintain software engineering best practices, including scripting automation, version control, and CI/CD pipelines.

Job description

We are seeking an experienced Data Engineer to lead the design, development, and optimization of end-to-end data pipelines and cloud-based solutions. You will be responsible for architecting scalable data and analytic systems, ensuring data integrity, and implementing software engineering best practices and patterns. The ideal candidate has a strong background in ETL, big data technologies, and cloud services, with a proven ability to drive complex projects from concept to production.
Primary Responsibilities/Essential Functions
This job description in no way states or implies that these are the only duties to be performed by the teammate occupying this position. The selected candidate may perform other related duties assigned to meet the ongoing needs of the business.
Key Responsibilities
Data Architecture and Engineering
• Design and implement scalable data pipelines for data ingestion, transformation, and storage.
• Architect and optimize data lakes and data warehouses to support analytics and reporting needs.
• Develop robust ETL processes to integrate structured and unstructured data from diverse sources.
• Ensure high data quality through cleaning, validation, and transformation techniques.
Cloud and Big Data Solutions
• Lead the implementation of big data frameworks such as Hadoop and Spark for processing large datasets.
• Develop and optimize solutions on cloud platforms, including AWS S3, Azure Data Lake, Google BigQuery, and Snowflake.
• Manage data lakes to facilitate efficient data access and processing for downstream applications.
Database and Data Warehousing
• Design, implement, and manage relational (SQL) and non-relational (NoSQL) database systems.
• Lead database architecture efforts, including schema design, query optimization, and performance tuning.
• Oversee the design and management of data warehouses, ensuring reliability, scalability, and security.
Software Development and Automation
• Utilize Python and SQL to develop efficient, production-ready code for data pipelines and integrations.
• Implement scripting automation using Bash and PowerShell to streamline workflows.
• Leverage version control (Git) and follow best practices in code optimization, unit testing, and debugging.
Collaboration and Leadership
• Act as a technical leader, providing guidance on best practices.
• Collaborate with cross-functional teams (Data Scientists, Software Engineers, Analysts) to meet business objectives.
• Drive innovation by evaluating and integrating emerging tools, technologies, and frameworks.
• Establish and maintain CI/CD pipelines to ensure efficient deployment and system reliability.
Required:
• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
• 5+ years of experience as a Data Engineer with expertise in building large-scale data solutions.
• Proficiency in Python, SQL, and scripting languages (Bash, PowerShell).
• Deep understanding of big data tools (Hadoop, Spark) and ETL processes.
• Hands-on experience with cloud platforms (AWS S3, Azure Data Lake, Google BigQuery, Snowflake).
• Strong knowledge of database systems (SQL, NoSQL), database design, and query optimization.
• Experience designing and managing data warehouses for performance and scalability.
• Proficiency in software engineering practices: version control (Git), CI/CD pipelines, and unit testing.
Preferred
• Strong experience in software architecture, design patterns, and code optimization.
• Expertise in Python-based pipelines and ETL frameworks.
• Experience with Azure Data Services and Databricks.
• Excellent problem-solving, analytical, and communication skills.
• Experience working in agile environments and collaborating with diverse teams.

Apply