1

Senior Data Engineering Jobs in Miami, FL (NOW HIRING)

Sr Data Engineer

Plantation, FL · Remote

$109K - $131K/yr

PRIMARY FUNCTION The Senior Data Engineer is responsible for architecting and implementing reliable ... EXPERIENCE: • 10+ years of experience in data engineering or a related field required. • Expert ...

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

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 ...

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

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 ...

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

The Senior Data Engineer is responsible for delivering, managing, and operating scalable trusted ... Bachelor or Master of Science in Engineering, Computer Science, Information Technology or ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Partner with the Senior Data Architect on data governance practices (cataloguing, certification ... Data Engineering,sql,python,etl

Senior Data Engineer / Data Architect Location: Fort Lauderdale, FL Work Arrangement: Fully onsite Employment Type: Direct hire, full-time Role Type: Hands-on individual contributor and technical ...

Posted today

Sr Data Engineer

Fort Lauderdale, FL · On-site

$116K - $153K/yr

Senior Data Engineer Role Details: We are looking for a talented senior data engineer specializing ... What you bring to the team You have: 5+ years of experience in data engineering and data system ...

The Senior Data Developer will be, extracting, transforming, and loading data from various sources (external and internal) into an enterprise-wide MDM, transactional database and data warehousing ...

Sr Data Engineer

Fort Lauderdale, FL · On-site

$120 - $190/hr

Job Posting Title: Senior Data Engineer We are looking for a talented senior data engineer ... engineering, product, and architecture. * Energetic self-starter who can work in a complex ...

New

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

We are looking for a Senior Data Engineer to join our growing data platform team. You will own the ... This role sits at the intersection of data engineering and platform engineering - you will be ...

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

We are looking for a Senior Data Engineer to join our growing data platform team. You will own the ... This role sits at the intersection of data engineering and platform engineering -- you will be ...

next page

Showing results 1-20

Senior Data Engineering information

See Miami, FL salary details

$15

$54

$77

How much do senior data engineering jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for senior data engineering in Miami, FL is $54.34, according to ZipRecruiter salary data. Most workers in this role earn between $44.62 and $64.38 per hour, depending on experience, location, and employer.

What is a senior data engineer?

A Senior Data Engineer is an experienced professional who designs, builds, and maintains scalable data systems and infrastructure within an organization. They are responsible for developing robust data pipelines, ensuring data quality, and optimizing data workflows to support analytics and business intelligence needs. Senior Data Engineers often mentor junior team members, collaborate with data scientists and analysts, and help establish best practices for data management. Their expertise enables organizations to efficiently store, process, and analyze large volumes of data for strategic decision-making.

What are the key skills and qualifications needed to thrive as a senior data engineer?

To thrive as a Senior Data Engineer, you need deep expertise in data modeling, ETL processes, programming (often Python, Java, or Scala), and a strong background in computer science or a related field. Proficiency with big data tools like Hadoop, Spark, SQL/NoSQL databases, and cloud platforms such as AWS, Azure, or GCP is typically required, along with relevant certifications. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior engineers. These skills ensure reliable, scalable data infrastructure that supports business intelligence and decision-making across the organization.

How does a senior data engineer typically collaborate with data scientists and analysts on projects?

As a Senior Data Engineer, you will frequently work alongside data scientists and analysts to design, build, and optimize data pipelines and infrastructure that support complex analytics and machine learning initiatives. Collaboration often involves translating business or analytical requirements into scalable data solutions, ensuring data quality, and enabling efficient access to large datasets. Regular communication and agile teamwork are essential, as you'll often participate in cross-functional meetings to align on project goals, resolve data issues, and support the deployment of analytical models into production environments.

What is the difference between Senior Data Engineering vs Data Engineer?

AspectSenior Data EngineerData Engineer
Required CredentialsBachelor's or Master's in CS, experience in data pipelines, cloud platformsBachelor's in CS or related field, foundational data skills
Work EnvironmentDesigning complex data systems, mentoring juniors, optimizing pipelinesBuilding and maintaining data pipelines, data ingestion, basic ETL tasks
Employer & Industry UsageTech companies, finance, healthcare, large enterprisesStartups, mid-sized companies, tech firms

Senior Data Engineers typically have more experience, handle complex data architecture, and mentor teams, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but Senior Data Engineers often take on leadership and strategic responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

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

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

What are popular job titles related to Senior Data Engineering jobs in Miami, FL?

For Senior Data Engineering jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Senior Data Engineering jobs in Miami, FL look for?

The top searched job categories for Senior Data Engineering jobs in Miami, FL are:

What cities near Miami, FL are hiring for Senior Data Engineering jobs?

Cities near Miami, FL with the most Senior Data Engineering job openings:

Infographic showing various Senior Data Engineering job openings in Miami, FL as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $113,024 per year, or $54.3 per hour.

$100 - $130/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


Job description

## Senior Data EngineerApplylocations: Miami, FLtime type: Full timeposted on: Posted Todayjob requisition id: R020632At 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 dataplatform. The ideal candidate will have a strong technical background in data engineering and beexperienced in building and maintaining large-scale data systems. The Senior Data Engineering will work closely with other teams, such as data science andproduct 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. #J-18808-Ljbffr