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Senior Data Engineering Jobs in Florida (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 ... EXPERIENCE: • 10+ years of experience in data engineering or a related field required. • Expert ...

Pediatric Associates

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 ...

Royal Caribbean Cruise Line

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 ...

Fortegra

Senior Data Analyst

Jacksonville, FL · On-site

$77K - $97K/yr

The Senior Data Analyst is a member of the Data Engineering team, responsible for acquiring, managing, validating, and analyzing data as it moves through Fortegra's data ecosystem - from ingestion ...

Clarity Innovations

Senior Data Analyst

Hurlburt Field, FL · On-site

$78K - $99K/yr

Our mission-first software and data engineering platform modernizes data operations, utilizing ... The senior data analyst will work closely with stakeholders and colleagues to gather requirements ...

LotSolutions, Inc.

Senior Data Analyst

Jacksonville, FL

$77K - $97K/yr

The Senior Data Analyst is a member of the Data Engineering team, responsible for acquiring, managing, validating, and analyzing data as it moves through Fortegra's data ecosystem -- from ingestion ...

Publicis Groupe Holdings B.V

Senior Data Engineer

Miami, FL

$101K - $137K/yr

Overview Sr. Data Engineering Analyst will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional ...

BlueSprig

Senior Data Engineer

Orlando, FL

$99K - $134K/yr

The Senior Data Engineer owns the design, implementation, and maintenance of our data architecture ... Skills: * 5+ years of hands-on data engineering experience * Python expertise : Strong proficiency ...

MSLGROUP

Director, Data Engineering

Miami, FL

Provide leadership and guidance to senior data engineers and managers. * Lead internal team meetings and gain a broad understand of all client work. * Mentor senior resources on seeing the big ...

SmartIPlace

Data Engineer [Hybrid] w2 role

Orlando, FL · On-site

$106K - $128K/yr

Title: Sr. Data Engineer Duration: 12+ month Contract - Hybrid (3 days on site) Location: Orlando FL Preferred Responsibilities / What You Will Do * Plan and lead research and development for ...

Software Resources, Inc.

Senior Data Engineer

Orlando, FL

$99K - $134K/yr

Software Resources has an immediate, contract job opportunity for a Senior Data Engineer with a ... The DDSI Data Engineering (DE) team is seeking a Data Engineer to design, develop, enhance, and ...

Stellar IT Group

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

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Senior Data Engineering information

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 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 is the highest salary for a senior data engineer?

The highest salaries for senior data engineers can exceed $150,000 to $200,000 annually, especially in high-demand industries or regions with a strong tech presence. Factors such as experience, expertise in tools like Spark or Hadoop, and certifications can influence compensation levels.

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 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.

What engineer makes $500,000 a year?

Senior Data Engineers with extensive experience, advanced skills in big data tools, and certifications can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes base salary, bonuses, and stock options, reflecting their expertise in data architecture, cloud platforms, and programming languages like Python or Scala.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often have expertise in tools like SQL, Python, and cloud platforms, which can influence compensation levels.

What engineers make $300,000 a year?

Senior Data Engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark or Hadoop. Compensation varies by industry, location, and company size, with some roles in finance or technology offering higher salaries for senior-level professionals.

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 are the most commonly searched types of Data Engineering jobs in Florida? The most popular types of Data Engineering jobs in Florida are:
What are popular job titles related to Senior Data Engineering jobs in Florida? For Senior Data Engineering jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineering jobs in Florida look for? The top searched job categories for Senior Data Engineering jobs in Florida are:
What cities in Florida are hiring for Senior Data Engineering jobs? Cities in Florida with the most Senior Data Engineering job openings:
Senior Data Engineering jobs near you
Infographic showing various Senior Data Engineering job openings in Florida as of June 2026, with employment types broken down into 2% As Needed, 71% Full Time, 25% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Sr Data Engineer

Pediatric Associates

Plantation, FL • On-site

$109K - $131K/yr

Full-time

Posted 4 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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