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

Pediatric Associates

Sr Data Engineer

Plantation, FL · On-site

$109K - $131K/yr

PRIMARY FUNCTION The Senior Data Engineer is responsible for architecting and implementing reliable, scalable ELT/ETL workflows that support enterprise-wide data needs. This role requires deep ...

Pediatric Associates

Sr Data Engineer

Plantation, FL · Remote

$109K - $131K/yr

PRIMARY FUNCTION The Senior Data Engineer is responsible for architecting and implementing reliable, scalable ELT/ETL workflows that support enterprise-wide data needs. This role requires deep ...

Univision

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 data platform. The ideal candidate will have a strong technical background in data engineering and be ...

Univision Communications, Inc.

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 data platform. The ideal candidate will have a strong technical background in data engineering and be ...

Paramount

Sr Data Engineer

Fort Lauderdale, FL · On-site

$109K - $131K/yr

  • PTO

Senior Data Engineer Role Details: We are looking for a talented senior data engineer specializing in building a highly scalable, cloud-based GraphQL API layer to deliver sports and betting data ...

Deloitte

Senior Data Engineer

Miami, FL · Hybrid

$101K - $137K/yr

As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

Paramount

Sr Data Engineer

Fort Lauderdale, FL

$116K - $153K/yr

  • PTO

Senior Data Engineer Role Details: We are looking for a talented senior data engineer specializing in building a highly scalable, cloud-based GraphQL API layer to deliver sports and betting data ...

TelevisaUnivision

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

The Senior Data Engineer will be responsible for designing, developing, and deploying data platforms while collaborating with various teams to meet their data needs and drive initiatives to ...

Accenture

Google Senior Data Engineer

Miami, FL · On-site

$94K - $266K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Work (What You Will Do) As a GCP Senior Data Engineer, you will help deliver data modernization, analytics, and AI solutions on GCP. You will support architecture design, build data pipelines and ...

INSPYR Solutions

Senior Data Engineer

Hollywood, FL · On-site

$65 - $70/hr

Title: Senior Data Engineer Location: Miramar, FL Duration: 12 months Compensation: $65-$70/hr Work Requirements: , Holders or Authorized to Work in the U.S. Overview The Data Engineer designs ...

New

WatchGuard Technologies, Inc.

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 design, build, and reliability of our cloud-native data lakehouse -- from raw ingestion through to ...

WatchGuard Technologies, Inc.

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are looking for a Senior Data Engineer to join our growing data platform team. You will own the design, build, and reliability of our cloud-native data lakehouse - from raw ingestion through to ...

Rumble - Career Page

Senior Data Engineer

Miami, FL · On-site

$149K - $170K/yr

Rumble is seeking a Senior Data Engineer to design, build, and operate the data platforms and backend systems that support large-scale product, analytics, and operational workloads. This is a senior ...

Rumble

Senior Data Engineer

Miami, FL

$149K - $170K/yr

Rumble is seeking a Senior Data Engineer to design, build, and operate the data platforms and backend systems that support large-scale product, analytics, and operational workloads. This is a senior ...

Randstad Digital

Senior Data Engineer

Miami, FL · On-site

$150K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Are you a senior data architect looking to lead a massive data modernization effort at a premier legal services provider? We are seeking a heavyweight backend engineering professional to champion the ...

Paramount

Senior Data Engineer

Fort Lauderdale, FL

$110K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Overview As a Senior Data Engineer, you will play a pivotal role in driving our data strategy and standard methodologies for data collection, pipelines, usage, and infrastructure. We are looking for ...

Ci

Senior Data Engineer

Miami, FL

$101K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Implement engineering best practices across data pipelines, modeling, data quality, lineage, metadata management, documentation and operational monitoring. Oversee sprint planning, backlog ...

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All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Miami, FL

Senior Data Engineer information

See Miami, FL salary details

$77.5K

$120.8K

$167.4K

How much do senior data engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for senior data engineer in Miami, FL is $120,826.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,400.00 and $137,700.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

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

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and 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 Engineer jobs in Miami, FL?

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

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

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

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

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

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

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

Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer 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 $120,826 per year, or $58.1 per hour.

Sr Data Engineer

Pediatric Associates

Plantation, FL • On-site

$109K - $131K/yr

Full-time

Re-posted 8 days ago

Job description

PRIMARY FUNCTION
The Senior Data Engineer is responsible for architecting and implementing reliable, scalable ELT/ETL workflows that support enterprise-wide data needs. This role requires deep expertise in data analysis, data modeling, and the design of complex ELT pipelines that enable efficient data integration and analytics.
The Senior Data Engineer collaborates closely with cross-functional teams-including data analysts, data scientists, product managers, and business stakeholders-to define requirements, drive technical discussions, and develop high-quality data solutions. Additionally, this role is expected to clearly communicate technical concepts, translate complex data challenges into actionable business insights, and guide teams toward best-practice data engineering approaches.
ESSENTIAL DUTIES AND RESPONSIBILITIES
This list may not include all of the duties that may be assigned.
1)Design, build, and maintain scalable, reliable ELT/ETL pipelines using modern data engineering tools and frameworks.
2)Architect and optimize data models, schemas, and data platforms to support both analytical and operational workloads.
3)Design, document, and maintain enterprise-level data models (conceptual, logical, and physical) using data modeling best practices.
4)Collaborate with cross-functional teams to understand requirements, define data strategies, and deliver high-quality engineering solutions.
5)Lead and drive technical discussions, solution design, and architectural decisions across teams.
6)Implement and enforce comprehensive data quality standards, validation rules, and monitoring frameworks to ensure accuracy, consistency, completeness, and reliability across all data assets.
7)Develop efficient, well-structured SQL and complex data transformation logic to support analytics and reporting.
8)Monitor, troubleshoot, and enhance data pipelines for performance, reliability, and cost efficiency.
9)Ensure data security, compliance, and adherence to best practices across cloud and on-premise data systems.
10)Communicate complex technical topics in a clear, business-aligned manner to stakeholders at all levels.
11)Mentor and guide junior and mid-level engineers, contributing to team growth and engineering excellence.
QUALIFICATIONS
EDUCATION: Bachelor's degree in related field required. Master's degree preferred.
EXPERIENCE:
• 10+ years of experience in data engineering or a related field required.
• Expert-level proficiency in SQL and experience with data transformation tools (e.g., Azure Data Factory, Apache Spark, Glue) required.
• Proven experience architecting and maintaining large-scale ELT/ETL pipelines in cloud environments (AWS, Azure, or GCP) required.
• Deep understanding of data modeling concepts (dimensional modeling, star schema, normalization) required.
• Hands-on experience with modern data warehousing platforms, preferably Databricks/Snowflake/Azure Synapse required.
• Experience in DevOps activities, including CI/CD integration using Databricks Asset Bundles (DABs) required.
• Strong programming skills in Python or another modern scripting language required.
KNOWLEDGE, SKILLS AND ABILITIES
• Demonstrated ability to translate complex business requirements into scalable, high-impact technical solutions.
• Excellent communication, documentation, and stakeholder engagement skills.
• Proficient in building Power BI data models and creating effective dashboards.
• Demonstrated ability to translate complex business requirements into scalable, high-impact technical solutions.
• Excellent communication, documentation, and stakeholder engagement skills.
• Proficient in building Power BI data models and creating effective dashboards.
TYPICAL WORKING CONDITIONS
• Full time remote/telework
OTHER PHYSICAL REQUIREMENTS
• Vision
• Sense of sound
• Sense of touch

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