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Remote Senior Data Engineer Jobs in Florida (NOW HIRING)

Pediatric Associates

Sr Data Engineer

Plantation, FL · Remote

$109K - $131K/yr

PRIMARY FUNCTION The Senior Data Engineer is responsible for architecting and implementing reliable ... TYPICAL WORKING CONDITIONS • Full time remote/telework OTHER PHYSICAL REQUIREMENTS • Vision • ...

Troutman Pepper

Senior Data Engineer

Miami, FL · Remote

$101K - $137K/yr

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

Troutman Pepper

Senior Data Engineer

West Palm Beach, FL · Remote

$102K - $139K/yr

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

Kobie Marketing

Sr. Data Engineer

Saint Petersburg, FL · Remote

$100K - $136K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... As a Senior Data Engineer, you will be a key technical contributor and operational owner within our ...

Carrier

Senior Data Engineer

FL · On-site +1

$102K - $139K/yr

Role Summary The Senior Data Engineer enables the delivery of modern, scalable data solutions across commercial, operational, and enterprise domains within CSA engagements. The role focuses on ...

Kohl\'s

Senior Data Engineer (Remote)

Tallahassee, FL · Remote

$116K - $153K/yr

Additional tasks may be assigned Addendum SENIOR BIG DATA SOFTWARE ENGINEER * Develop, automate, and maintain batch and streaming ETL pipelines using Apache Airflow, Apache Spark, Python, and Scala.

Blue Orange Digital

Senior Data Engineer

Miami, FL · Remote

$145K - $175K/yr

Experience: 7+ years of industry experience as a hands‑on practitioner in Data Engineering, with ... Flexible remote work environment with a collaborative, high-talent team Salary: $145,000 - $175,000 ...

Jj

Staff Data Engineer

Palm Beach Gardens, FL · On-site +1

$108K - $130K/yr

... Senior Data Engineer-related occupation. Position requires experience with: 1. Data architecture, data modelling ,data integration and data engineering tools - Databricks, Azure Data Factory ...

ARC Group

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

AZURE DATA ENGINEER (REMOTE) ARC Group has an immediate opportunity for an aspiring Azure / Cloud Data Engineer to join our global client's growing team of data experts. This is 100 REMOTE and a ...

SNC-Lavalin

Sr Data Scientist I

Tampa, FL · On-site +1

Remote working or telecommuting permitted in all U.S. States, in accordance with company policy ... Bachelor's degree or foreign degree equivalent in Engineering, Data Science, Computer Science ...

Blue Orange Digital

Data Engineer

Miami, FL · Remote

$135K - $155K/yr

Experience: 5+ years of industry experience as a hands‑on practitioner in Data Engineering. Note ... Flexible remote work environment with a collaborative, high-talent team Salary: $135,000 - $155,000 ...

Inizio Partners

Data Engineer - Healthcare

Tampa, FL · Remote

$108K - $129K/yr

Position - Data Engineer (Python + React, Healthcare Domain) Location - Tampa/Remote Number of positions - 2 Overview We are seeking a Data Engineer with strong experience in Python and React to ...

Lennar

Principal Data Engineer

Miami, FL · Remote

The Principal Data Engineer is a senior individual contributor who brings deep technical expertise across data platform engineering and data architecture. As AI becomes central to how Lennar operates ...

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Remote Senior Data Engineer information

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

AspectRemote Senior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields, certifications
Work EnvironmentData pipelines, ETL processes, cloud platformsData analysis, modeling, visualization tools
Industry UsageTech, finance, healthcare, e-commerceTech, marketing, research, finance

Remote Senior Data Engineers focus on building and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles often collaborate but serve different functions within data teams. Understanding these differences helps in choosing the right career path or job search focus.

What are Remote Senior Data Engineers?

Remote Senior Data Engineers are experienced professionals who design, build, and maintain complex data systems and pipelines, but work from a location outside of the company's main office. They are responsible for ensuring reliable data flow, optimizing data storage, and supporting analytics, often collaborating with teams across different time zones. Their role typically involves advanced programming, data architecture, and the implementation of best practices in data engineering, all while working remotely. This position demands strong technical skills, excellent communication, and the ability to work independently.

How does a Remote Senior Data Engineer typically collaborate with distributed teams to ensure data pipeline reliability?

As a Remote Senior Data Engineer, collaboration with cross-functional, distributed teams is usually facilitated through agile project management tools, regular video meetings, and shared documentation platforms. You’ll often work closely with data scientists, analysts, and DevOps engineers to design, build, and maintain scalable data pipelines. Clear communication and proactive status updates are essential to ensure everyone stays aligned and issues are addressed quickly. Leveraging version control systems and automated testing also helps maintain the reliability and quality of the data infrastructure across different time zones.

What are the key skills and qualifications needed to thrive as a Remote Senior Data Engineer, and why are they important?

To thrive as a Remote Senior Data Engineer, you need advanced expertise in data engineering concepts, SQL, and programming languages like Python or Scala, along with a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data frameworks (like Spark or Hadoop), and relevant certifications are typically required. Excellent problem-solving, communication, and self-management skills are crucial for collaborating remotely and driving projects independently. These competencies ensure robust data pipelines, effective teamwork, and successful delivery of scalable data solutions in distributed environments.
What are the most commonly searched types of Senior Data Engineer jobs in Florida? The most popular types of Senior Data Engineer jobs in Florida are:
What are popular job titles related to Remote Senior Data Engineer jobs in Florida? For Remote Senior Data Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Senior Data Engineer jobs in Florida look for? The top searched job categories for Remote Senior Data Engineer jobs in Florida are:
What cities in Florida are hiring for Remote Senior Data Engineer jobs? Cities in Florida with the most Remote Senior Data Engineer job openings:
Remote Senior Data Engineer jobs near you
Infographic showing various Remote Senior Data Engineer job openings in Florida as of June 2026, with employment types broken down into 1% As Needed, 66% Full Time, 27% Part Time, and 6% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Sr Data Engineer

Pediatric Associates

Plantation, FL • Remote

$109K - $131K/yr

Full-time

Posted 14 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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