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Google Data Science Jobs in Miami, FL (NOW HIRING)

TelevisaUnivision

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

Required : • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems ... cloud data platforms, preferably Google Cloud Platform (GCP); AWS experience will also be ...

BankUnited

Data Analytics Engineer

Miami Lakes, FL · On-site

$103K - $124K/yr

The Data Analytics Engineer will support our data analysts and data scientists on data initiatives ... Mastery of analytic and data visualization tools such as SAS, SQL, Adobe Analytics Tableau, Google ...

ReturnPro

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

... Google BigQuery, and Snowflake. • Manage data lakes to facilitate efficient data access and ... Required : • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related ...

Novocure Inc

Data Architect

Miami, FL · On-site

$61 - $78.50/hr

Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field * 8+ ... Experience with cloud platforms such as AWS, Microsoft Azure, and/or Google Cloud Platform

Novocure

Data Architect

Miami, FL

$61 - $78.50/hr

Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field * 8+ ... Experience with cloud platforms such as AWS, Microsoft Azure, and/or Google Cloud Platform

ReturnPro

Data Engineer

Aventura, FL · On-site

$109K - $131K/yr

... Google BigQuery, and Snowflake. · Manage data lakes to facilitate efficient data access and ... Required: · Bachelor's or Master's degree in Computer Science, Data Engineering, or a related ...

ReturnPro

Data Engineer

Aventura, FL · On-site

$109K - $131K/yr

... Google BigQuery, and Snowflake. • Manage data lakes to facilitate efficient data access and ... Required: • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related ...

Deloitte

Cyber - Google SecOps - Manager

Miami, FL · On-site

Leading end-to-end deployment of log ingestion pipelines using data fabric technologies and ... Bachelor's degree in Computer Science, Cybersecurity, Information Systems, or another technical ...

Deloitte

Google AI Architect

Miami, FL

Define end-to-end architectures across data pipelines, feature engineering, model lifecycle, APIs ... Bachelor's degree in Computer Science, Engineering or a related technical field. * 6+ years ...

Pwc

Data Engineer - Senior Manager

Miami, FL · On-site

$124K - $280K/yr

... Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

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Showing results 21-40

All JobsGoogle Data Science JobsGoogle Data Science Jobs in Miami, FL

Google Data Science information

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How much do google data science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for google data science in Miami, FL is $108,004.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,939.00 and $135,549.00 per year, depending on experience, location, and employer.

What is a Google data science?

A Google Data Science job involves analyzing large datasets to provide insights and drive data-informed decisions. Data scientists at Google apply statistical modeling, machine learning, and analytical techniques to solve complex problems in products like Search, Ads, YouTube, and Cloud. They work closely with engineers, product managers, and business teams to develop data-driven solutions. Strong coding skills in Python or SQL, experience with big data tools, and a solid foundation in statistics are essential for this role.

What types of projects do Google data science professionals typically work on?

Google Data Science professionals engage in a wide variety of impactful projects, such as optimizing algorithms for product recommendations, improving user experiences through data-driven insights, and developing predictive models to inform business strategies. They often work closely with product managers, engineers, and designers to translate complex data findings into actionable solutions. The work environment is highly collaborative and fast-paced, with opportunities to contribute to innovative initiatives across different Google products and services. This dynamic setting allows data scientists to continuously expand their skill sets and take on new challenges, fostering both personal and professional growth.

What are the key skills and qualifications needed to thrive in the Google data science position, and why are they important?

To thrive as a Google Data Science professional, you need a strong foundation in statistical analysis, machine learning, and data manipulation, often supported by a degree in a quantitative field such as computer science, statistics, or mathematics. Proficiency in programming languages like Python or R, experience with large-scale data processing tools (such as SQL, TensorFlow, or BigQuery), and familiarity with cloud-based platforms are commonly required. Excellent problem-solving, communication, and collaboration skills help set candidates apart in effectively translating complex data insights to varied stakeholders. These capabilities are crucial for driving impactful, data-driven decisions within cross-functional teams at Google.

What are the most commonly searched types of Google Data Science jobs in Miami, FL?

The most popular types of Google Data Science jobs in Miami, FL are:

What are popular job titles related to Google Data Science jobs in Miami, FL?

For Google Data Science jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Google Data Science jobs in Miami, FL look for?

The top searched job categories for Google Data Science jobs in Miami, FL are:

What cities near Miami, FL are hiring for Google Data Science jobs?

Cities near Miami, FL with the most Google Data Science job openings:

Google Data Science jobs near you
Infographic showing various Google Data Science job openings in Miami, FL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $108,004 per year, or $51.9 per hour.

Senior Data Engineer

Univision Communications, Inc.

Miami, FL • On-site

$101K - $137K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago

Job description

At TelevisaUnivision, we are the world's leading Spanish-language media company, reaching millions of consumers across digital, streaming, social, audio, linear television, and live events. As we continue expanding our global streaming platform, ViX, we are investing heavily in technology, data, and innovation to deliver exceptional subscriber experiences and drive long-term business growth.
The Senior Data Engineer will play a key role in the design, development, and deployment of our data
platform. The ideal candidate will have a strong technical background in data engineering and be
experienced in building and maintaining large-scale data systems. The Senior Data Engineering will work closely with other teams, such as data science and
product development, to understand their data needs and ensure initiatives are driven to completion.
The ideal candidate combines strong technical expertise with a collaborative mindset, a passion for solving complex data challenges, and a commitment to delivering high-quality solutions at scale.
ABOUT YOU:
You are a data engineering professional who thrives in a fast-paced, collaborative environment and enjoys transforming complex data into actionable business value.
You bring:
  • Deep expertise in modern cloud-based data platforms, particularly Google Cloud Platform (GCP)
  • Strong proficiency in Python, SQL, and data transformation frameworks such as dbt
  • Experience working with large-scale distributed systems and big data technologies, including Spark, and Hadoop
  • Experience with Infrastructure as Code (IaC) tools such as Pulumi or Terraform
  • Excellent problem-solving skills with the ability to design scalable and efficient solutions
  • Strong attention to detail and the ability to manage multiple priorities effectively
  • Outstanding communication and collaboration skills, with the ability to partner across technical and non-technical teams
  • A continuous improvement mindset and passion for mentoring and knowledge sharing

YOUR DAY-DAY: (Responsibilities)
Data Platform Development
  • Design, develop, and maintain scalable, reliable, and efficient data pipelines using Airflow, Python, SQL, and dbt to support business requirements
  • Build and optimize data models and workflows to support analytics, reporting, machine learning, and product initiatives
  • Ensure data quality, integrity, security, and availability across the data ecosystem

Cross-Functional Collaboration
  • Partner with Product Managers, Data Scientists, Analysts, and Engineering teams to understand business requirements and translate them into technical solutions
  • Drive data architecture discussions and contribute to long-term platform strategy
  • Collaborate with stakeholders to identify opportunities for process improvements and operational efficiencies

Performance & Optimization
  • Optimize data storage, processing, and orchestration for performance, scalability, and cost efficiency
  • Monitor, troubleshoot, and resolve data pipeline and platform issues
  • Implement best practices for data governance, observability, and operational excellence

Leadership & Team Contribution
  • Mentor and support junior data engineers through technical guidance and knowledge sharing
  • Contribute to architectural decisions and engineering best practices
  • Participate in technical interviews and help grow a high-performing data engineering team

YOU HAVE: (Qualifications, Experience)
Required Experience & Skills
  • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related technical field
  • 5+ years of experience in Data Engineering, Data Warehousing, or Big Data environments
  • Advanced proficiency in Python and SQL
  • Hands-on experience building and maintaining production-grade data pipelines
  • Strong experience with cloud data platforms, preferably Google Cloud Platform (GCP); AWS experience will also be considered
  • Experience with workflow orchestration and transformation tools such as Airflow and dbt
  • Experience with Infrastructure as Code (IaC) tools such as Pulumi or Terraform
  • Solid understanding of distributed data processing frameworks, including Spark
  • Experience working with modern data warehousing and storage technologies
  • Strong analytical, troubleshooting, and problem-solving abilities

Preferred Qualifications
  • Experience supporting machine learning and data science workflows
  • Familiarity with data observability, data quality frameworks, and CI/CD practices
  • Experience working within subscription-based, media, streaming, or digital product organizations

ELIGIBILITY REQUIREMENTS
  • Must be authorized to work in the United States
  • Must be willing to work from our Miami, Florida office
  • Employment and educational background verification required

OUR BENEFITS:
TelevisaUnivision believes that a happy, well-balanced employee is what makes our culture thrive. We offer a wide selection of perks and benefits including PTO, tuition reimbursement, wellness and employee support programs, 401(k), and life and other insurance plans.
This is in addition to a comprehensive and competitive health benefits package featuring medical, dental, and vision coverage options.
TelevisaUnivision is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to characteristics protected by law.

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