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Data Processing Jobs in Tamarac, FL (NOW HIRING)

Senior Data Engineer

Miami, FL ยท On-site

$101K - $137K/yr

Optimize data storage, processing, and orchestration for performance, scalability, and cost efficiency * Monitor, troubleshoot, and resolve data pipeline and platform issues * Implement best ...

Bigdata Engineer with GCP

Sunrise, FL ยท On-site

$109K - $131K/yr

Role Overview We are looking for a skilled Big Data Engineer with strong experience on Google Cloud Platform (GCP) to design, build, and optimize large-scale data processing systems. The ideal ...

Senior Data Engineer

Hollywood, FL ยท On-site

$65 - $70/hr

... processing workflows at scale Build and expand the feature store through data modeling, pipeline development, feature building, and data transforms that accelerate ML model readiness Contribute to ...

Data Analyst

Miami, FL ยท On-site

Ensure that data processes and outputs are robust, insightful, and timely. * Ad-hoc analytics and insights . Promptly address ad-hoc analysis requests with clear, well-structured outputs rooted in ...

Engineering/Product Manager

Parkland, FL ยท On-site +1

$152K - $157K/yr

Familiarity with databases (SQL/NoSQL) and data processing systems; * Product mindset: ability to translate business needs into technical solutions; * Strong ownership and ability to work ...

Applied Scientist AI/ML

Miami, FL ยท On-site

$156K - $355K/yr

Familiarity with Pyspark and distributed data processing * Background in search, recommendation systems, or personalization * Experience working with large language models (LLMs) or vision-language ...

Showing results 41-60

Data Processing information

See Tamarac, FL salary details

$11

$19

$33

How much do data processing jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for data processing in Tamarac, FL is $19.19, according to ZipRecruiter salary data. Most workers in this role earn between $15.24 and $21.15 per hour, depending on experience, location, and employer.

What is data processing?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

What are the typical daily responsibilities of someone working in data processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

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

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What do you do as a data processing?

A data processing professional collects, organizes, and analyzes data to ensure accuracy and usability. They use tools like spreadsheets, databases, and data management software to clean, transform, and prepare data for reporting or decision-making. Attention to detail and knowledge of data handling techniques are essential in this role.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

What are popular job titles related to Data Processing jobs in Tamarac, FL?

For Data Processing jobs in Tamarac, FL, the most frequently searched job titles are:

What job categories do people searching Data Processing jobs in Tamarac, FL look for?

The top searched job categories for Data Processing jobs in Tamarac, FL are:

What cities near Tamarac, FL are hiring for Data Processing jobs?

Cities near Tamarac, FL with the most Data Processing job openings:

Infographic showing various Data Processing job openings in Tamarac, FL as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $39,910 per year, or $19.2 per hour.

$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.