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Data Solutions Developer Jobs in Miami, FL (NOW HIRING)

ReturnPro

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

ReturnPro is seeking an experienced Data Engineer to lead the design, development, and optimization of end-to-end data pipelines and cloud-based solutions. The role involves architecting scalable ...

Pediatric Associates

Sr Data Engineer

Plantation, FL · On-site

$109K - $131K/yr

... data solutions. Additionally, this role is expected to clearly communicate technical concepts ... in DevOps activities, including CI/CD integration using Databricks Asset Bundles (DABs) required ...

Pediatric Associates

Sr Data Engineer

Plantation, FL · Remote

$109K - $131K/yr

... data solutions. Additionally, this role is expected to clearly communicate technical concepts ... in DevOps activities, including CI/CD integration using Databricks Asset Bundles (DABs) required ...

Quvia

Solutions Engineer

Miramar, FL · On-site +1

Job Title: Solutions Engineer Group:Solutions Engineering About Quvia: Quvia is building the ... As companies deploy AI, automation and data-driven systems at the edge, Quvia provides the platform ...

1 point system

Data Analyst

Miami, FL · On-site

... data solutions across the organization. * SAS, Essbase, Hyperion, and database management ... Engineer and maintain robust data pipelines using modern ETL tools and cloud platforms (e.g., Azure ...

Quvia

Solutions Engineer

Miramar, FL · On-site

Job Title: Solutions Engineer Group: Solutions Engineering About Quvia: Quvia is building the ... As companies deploy AI, automation and data-driven systems at the edge, Quvia provides the platform ...

Quvia

Solutions Engineer

Miramar, FL · On-site

Job Title: Solutions Engineer Group: Solutions Engineering About Quvia: Quvia is building the ... As companies deploy AI, automation and data-driven systems at the edge, Quvia provides the platform ...

Dlapiper

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Pwc

AI Solutions Engineering Delivery Lead

Miami, FL · On-site

$98K - $129K/yr

... robust data solutions for clients. They play a crucial role in transforming raw data into ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

Pwc

Data Engineer - Manager

Miami, FL · On-site

... robust data solutions for clients. They play a crucial role in transforming raw data into ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

NCL Bahamas Ltd.

Cloud Data Engineer

Miami, FL · On-site

$90 - $120/hr

This role focuses on the development and implementation of data engineering solutions that enhance data warehousing capabilities and maintain legacy and new systems. Duties & Responsibilities

1 point system

Lead Data Analyst

Miami, FL · On-site

This position will focus on building scalable analytics solutions, developing predictive models ... Engineer and maintain robust data pipelines using modern ETL tools and cloud platforms (e.g., Azure ...

Prophecy Technologies

CCaaS Google Data Engineer

Sunrise, FL · On-site

$109K - $131K/yr

Key Responsibilities: * Design and implement scalable CCaaS and IVA solutions, including ... Experience with Agile development, CI/CD, DevOps, and Observability. * Hands-on experience with ...

ARC Group

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

AZURE DATA ENGINEER (REMOTE) ARC Group has an immediate opportunity for an aspiring Azure / Cloud ... In addition to the development of data solutions, you are accountable for the customer's Azure ...

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Showing results 21-40

All JobsData Solutions Developer JobsData Solutions Developer Jobs in Miami, FL

Data Solutions Developer information

What are the key skills and qualifications needed to thrive as a Data Solutions Developer?

To thrive as a Data Solutions Developer, you need strong programming skills (such as Python, SQL, or Java), a solid understanding of data architecture, and typically a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, cloud platforms (like AWS or Azure), and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Analytical thinking, problem-solving, and effective communication help you collaborate with stakeholders and translate business requirements into technical solutions. These skills ensure the delivery of robust, scalable data solutions that drive informed decision-making and business success.

How does a Data Solutions Developer typically collaborate with data analysts and business stakeholders?

As a Data Solutions Developer, collaboration with data analysts and business stakeholders is integral to delivering effective data-driven solutions. You will frequently engage in requirements-gathering sessions to understand business needs, translate those needs into technical specifications, and iterate on data models or pipelines based on feedback. Regular meetings and clear communication are essential to ensure the solutions you develop align with business goals and analytics objectives. Additionally, you may provide technical guidance to analysts on data access or usage and help stakeholders interpret results from the systems you build.

What is the difference between Data Solutions Developer vs Data Engineer?

AspectData Solutions DeveloperData Engineer
Primary FocusDesigning and developing data solutions and applicationsBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsSQL, programming, data modeling, cloud platformsETL, database systems, cloud services, scripting
Work EnvironmentCollaborates with data analysts, developers, and business teamsWorks on data architecture, infrastructure, and backend systems
Industry UsageUsed across industries for data application developmentPrimarily in data-heavy sectors like tech, finance, and healthcare

While both roles involve working with data, Data Solutions Developers focus on creating data applications and solutions, whereas Data Engineers concentrate on building the data infrastructure and pipelines. Understanding these differences helps in choosing the right career path or job role.

What does a data solutions developer do?

A data solutions developer designs, develops, and implements data management and analytics solutions to help organizations process and interpret large datasets. They often work with programming languages like SQL, Python, or Java, and use tools such as data warehouses and ETL processes to create efficient data workflows. Their role involves collaborating with stakeholders to understand data needs and ensuring solutions are scalable and secure.

What are popular job titles related to Data Solutions Developer jobs in Miami, FL?

For Data Solutions Developer jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Data Solutions Developer jobs in Miami, FL look for?

The top searched job categories for Data Solutions Developer jobs in Miami, FL are:

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

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

Data Solutions Developer jobs near you
Infographic showing various Data Solutions Developer job openings in Miami, FL as of August 2026, with employment types broken down into 84% Full Time, 10% Part Time, and 6% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution.

Data Engineer

ReturnPro

Miami, FL • On-site

$109K - $131K/yr

Full-time

Re-posted 4 days ago

Job description

Job Summary:
ReturnPro is seeking an experienced Data Engineer to lead the design, development, and optimization of end-to-end data pipelines and cloud-based solutions. The role involves architecting scalable data systems, ensuring data integrity, and implementing best practices in software engineering.
Responsibilities:
• 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.
• 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.
• 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.
• 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.
• 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.
Qualifications:
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.
Company:
ReturnPro helps retailers and brands solve returns by creating a measurable strategic advantage across the post-purchase lifecycle. Founded in 2008, the company is headquartered in Miami, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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