1

Data Engineering Jobs in Florida (NOW HIRING)

Data Lake Engineer

Doral, FL · On-site

$105K - $127K/yr

The candidate must be proficient in Data Lakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering. Essential Duties and Responsibilities * Develop ...

Data Lake Engineer

Doral, FL · On-site

$105K - $127K/yr

The candidate must be proficient in Data Lakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering. Essential Duties and Responsibilities * Develop ...

Data Engineer

Miami, FL

$109K - $131K/yr

In current initiatives, data engineering includes consolidating data from multiple sources into a central SQL-based integration point and performing field mapping and transformations, so solution ...

Data Engineer

Orlando, FL · On-site

$106K - $128K/yr

Bachelor's degree in Computer Science, Data Engineering, Data Analytics, Computer Science, Statistics, related field with demonstrated expertise with relevant industry in data engineering, data ...

Data Quality Engineer

Jacksonville, FL · Remote

$106K - $127K/yr

As a senior member of the data engineering team, you will be responsible for developing scalable data validation frameworks, ensuring data integrity across pipelines and platforms, implementing ...

Sr Data Engineer

Plantation, FL · Remote

$109K - $131K/yr

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 ...

Sr Data Engineer

Plantation, FL · On-site

$109K - $131K/yr

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 ...

Data Engineer [Hybrid] w2 role

Orlando, FL · On-site

$106K - $128K/yr

Requirements * 7+ years of data engineering experience across multiple environments (e.g., Dev, QA, Production) with DevOps practices for code deployment . * Experience working with a range of ...

Data Engineer

Orlando, FL · On-site

$106K - $128K/yr

Strong proficiency in SQL and data engineering fundamentals. * Hands-on experience with Snowflake (tables, queries, optimization). * Expertise in Azure Data Factory (ADF) - pipeline creation ...

Azure Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Required : • Hands-on experience with data engineering tools and technologies including Python, SQL, Postgres, MongoDB, PySpark, Databricks, and Snowflake. • Design, develop, and optimize end-to ...

Data Engineer[Hybrid]- (W2 ROLE)

Orlando, FL · On-site

$106K - $128K/yr

Requirements: * 7+ years experience in data engineering development using multiple environments (Dev, QA, Prod, etc.) and DevOps procedures for code deployment * Experience with a variety of GenAI ...

Data Engineer (BI)

Tampa, FL · Remote

$108K - $129K/yr

The ideal candidate will have a strong background in data engineering, dimensional and semantic data modeling, business intelligence tooling, and ELT processes, along with a passion for making data ...

Data engineer

Jacksonville, FL · On-site

$106K - $127K/yr

Bachelor's degree and 6+ years of experience in data analytics, data engineering, data architecture, or software engineering with a focus on data warehouse design and implementation. * Proven ...

Showing results 41-60

Data Engineering information

See Florida salary details

$34.4K

$123.3K

$182K

How much do data engineering jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data engineering in Florida is $123,317.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $127,000.00 per year, depending on experience, location, and employer.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

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

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

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 Data Engineering jobs in Florida?

For Data Engineering jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Data Engineering jobs in Florida look for?

The top searched job categories for Data Engineering jobs in Florida are:

What cities in Florida are hiring for Data Engineering jobs?

Cities in Florida with the most Data Engineering job openings:

Infographic showing various Data Engineering job openings in Florida as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $123,317 per year, or $59.3 per hour.

Data Engineer - Cloud Data Platform (Snowflake & dbt)

AssistRx

Maitland, FL • Remote

$106K - $127K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

This job post has expired today. Applications are no longer accepted.


AssistRx rating

7.2

Company rating: 7.2 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

137th of 224 rated it services


Job description

Data Engineer - Cloud Data Platform (Snowflake & dbt) Remote Information Technology Full time Maitland, Florida, United States Description About AssistRx AssistRx transforms the patient journey through technology—helping patients access life-saving therapies faster and more efficiently. Our platform connects patients, providers, payers, and manufacturers through secure, scalable, data-driven solutions that power better decisions and better outcomes across the healthcare ecosystem. If you’re passionate about building modern data platforms, working with large-scale cloud data systems, and applying data engineering best practices in a regulated healthcare environment, we’d love to talk. Role Overview AssistRx is seeking a Senior Data Engineer to join our Cloud Data Platform (CDP | Architecture) team. This role is highly hands-on and focused on designing, building, and scaling our modern data platform—with Snowflake and dbt as core, non-negotiable technologies. You will play a critical role in shaping AssistRx’s enterprise data architecture, owning transformation logic, performance optimization, and data modeling patterns that support analytics, reporting, and downstream products across the organization. This is not an entry-level or tool-learning role. We are looking for someone who can contribute immediately in a production Snowflake + dbt environment and help set technical standards for the broader data organization. What You’ll Do Cloud Data Platform & Architecture Design, build, and optimize Snowflake-centric data architectures to support enterprise analytics, reporting, and operational use cases Own dbt transformation layers, including model design, testing, documentation, and deployment best practices Implement scalable data modeling patterns (star schemas, data vault, dimensional models) aligned to business needs Data Engineering & Pipelines Develop and maintain reliable data pipelines integrating sources such as Salesforce, application databases, and external client data Ensure data quality through validation, testing, monitoring, and observability frameworks Optimize Snowflake performance and cost through query tuning, warehouse design, and efficient data modeling Collaboration & Enablement Partner closely with Analytics, BI, Product, and Engineering teams to deliver trusted, analytics-ready datasets Contribute to architectural standards, code reviews, and best practices across the CDP team Document data flows, models, and platform decisions to support long-term scalability and knowledge sharing Governance, Security & Compliance Ensure data pipelines and models meet PHI / PII / HIPAA compliance requirements Support secure access patterns, role-based permissions, and data governance controls Requirements Required Qualifications This role requires strong, hands-on experience in the following areas: 6+ years of experience in data engineering, analytics engineering, or backend data development Advanced Snowflake expertise in a production environment (performance tuning, architecture, optimization) Strong dbt experience building and maintaining transformation layers at scale Expert-level SQL skills, including complex transformations and performance optimization Experience designing and supporting cloud-based data platforms (Snowflake preferred) Hands-on experience integrating data from SaaS platforms (e.g., Salesforce) and operational systems Familiarity with CI/CD concepts for analytics engineering (version control, deployments, testing) Strong understanding of data modeling best practices for analytics and reporting Nice to Have (Not Required) Experience in healthcare, life sciences, or regulated environments Python experience for data engineering or automation Familiarity with Azure-based data tooling (ADF, storage, compute) Exposure to BI tools such as Power BI, Tableau, or ThoughtSpot Why This Role Matters You’ll help define AssistRx’s enterprise data foundation Your work will directly impact executive decision-making, client reporting, and patient-centric solutions You’ll join a team that values clean architecture, strong engineering standards, and real ownership Benefits Supportive, progressive, fast-paced environment Competitive pay structure Matching 401(k) with immediate vesting Medical, dental, vision, life, & short-term disability insurance Opportunity to impact patient outcomes through data-driven healthcare technology. Collaborative and mission-driven culture that values innovation and continuous learning. Access to cutting-edge cloud technologies and modern data engineering tools. Competitive compensation, comprehensive benefits, and career growth opportunities AssistRx, Inc. is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non

What AssistRx employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom