1

Summer Python Developer Google Jobs in Miami, FL

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

... Google BigQuery, and Snowflake. • Manage data lakes to facilitate efficient data access and ... Utilize Python and SQL to develop efficient, production-ready code for data pipelines and ...

Data Engineer

Aventura, FL · On-site

$109K - $131K/yr

... Google BigQuery, and Snowflake. • Manage data lakes to facilitate efficient data access and ... Software Development and Automation • Utilize Python and SQL to develop efficient, production ...

Data Engineer

Aventura, FL

$109K - $131K/yr

... Google BigQuery, and Snowflake. · Manage data lakes to facilitate efficient data access and ... Software Development and Automation · Utilize Python and SQL to develop efficient, production ...

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior Data Engineer will play a key role in the design, development, and deployment of our ... particularly Google Cloud Platform (GCP) * Strong proficiency in Python, SQL, and data ...

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior Data Engineer will play a key role in the design, development, and deployment of our ... particularly Google Cloud Platform (GCP) * Strong proficiency in Python, SQL, and data ...

... / DevOps experience ✔ Strong expertise in Python for platform automation, API development ... Azure, or Google Cloud Platform (GCP) and cloud-native architectures ✔ Strong knowledge of ...

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

... Python, SQL, and dbt to support business requirements • Build and optimize data models and ... Google Cloud Platform (GCP); AWS experience will also be considered • Experience with workflow ...

Showing results 21-40

Summer Python Developer Google information

See Miami, FL salary details

$12

$56

$82

How much do summer python developer google jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for summer python developer google in Miami, FL is $56.07, according to ZipRecruiter salary data. Most workers in this role earn between $46.20 and $63.70 per hour, depending on experience, location, and employer.

What is the difference between Summer Python Developer Google vs Summer Data Analyst Google?

AspectSummer Python Developer GoogleSummer Data Analyst Google
Required SkillsPython, programming, data structuresExcel, SQL, data visualization
Work EnvironmentSoftware development teams, coding projectsData analysis teams, reporting tasks
Industry UsageTech, software, AI projectsBusiness, marketing, product insights

Summer Python Developer Google focuses on coding and developing software solutions using Python, often working on AI or backend projects. In contrast, Summer Data Analyst Google emphasizes analyzing data, creating reports, and deriving insights. Both roles are popular summer internships at Google, but they serve different functions within the tech ecosystem.

What are the most commonly searched types of Python Developer Google jobs in Miami, FL?

The most popular types of Python Developer Google jobs in Miami, FL are:

What cities near Miami, FL are hiring for Summer Python Developer Google jobs?

Cities near Miami, FL with the most Summer Python Developer Google job openings:

Data Engineer

ReturnPro

Miami, FL • On-site

$109K - $131K/yr

Full-time

Re-posted yesterday


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.