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

Pediatric Associates

Sr Data Engineer

Plantation, FL · Remote

$109K - $131K/yr

EXPERIENCE: • 10+ years of experience in data engineering or a related field required. • Expert ... TYPICAL WORKING CONDITIONS • Full time remote/telework OTHER PHYSICAL REQUIREMENTS • Vision • ...

ARC Group

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

... remote and working in the eastern time zone during core business hours. You will be working with Data Engineering and Data Analytics technologies on the Azure Cloud platform. This is a fantastic ...

Troutman Pepper

Senior Data Engineer

Miami, FL · Remote

$101K - $137K/yr

Strong SQL and data engineering skills. * Hands-on experience with Azure, APIs, Microsoft Fabric ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

Worth AI

Data Platform Engineer

Miami, FL · Remote

$117K - $140K/yr

Strong software engineering skills in at least one language commonly used for data and services (e ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Worth AI

Data Platform Engineer

Miami, FL · On-site +1

$109K - $131K/yr

Strong software engineering skills in at least one language commonly used for data and services (e ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

SOSi

Technical Instructor

Doral, FL · Remote

Jupyter Notebook-based data engineering and geospatial data layer creation * Metadata tagging, data ... Host remote training materials, provide access to self-paced learning modules, and facilitate ...

SOSi

Technical Instructor

Doral, FL · Remote

Jupyter Notebook-based data engineering and geospatial data layer creation * Metadata tagging, data ... Host remote training materials, provide access to self-paced learning modules, and facilitate ...

Boam AI

Technical Product Lead

Miami, FL · On-site +1

Partner daily with data, engineering, and ML to drive execution * Define requirements for data ... Remote (US)*: At this time, we're not accepting applications from candidates based in NJ, NY, IL ...

Boam AI

Head of Product

Miami, FL · On-site +1

You'll work directly with the CEO, operate as a cross-functional driver across data, engineering ... Remote (US)*: At this time, we're not accepting applications from candidates based in NJ, NY, IL ...

Humana

Senior Applied AI Engineer

Fort Lauderdale, FL · On-site +1

$99K - $137K/yr

You will work closely with data engineering and business teams to deliver scalable, intelligent ... This position's work style is remote from any of the locations listed below. You must reside in ...

New

Humana

Senior Applied AI Engineer

Fort Lauderdale, FL · On-site +1

$99K - $137K/yr

You will work closely with data engineering and business teams to deliver scalable, intelligent ... This position's work style is remote from any of the locations listed below. You must reside in ...

New

Humana

Senior Applied AI Engineer

Fort Lauderdale, FL · On-site +1

$99K - $137K/yr

You will work closely with data engineering and business teams to deliver scalable, intelligent ... This position's work style is remote from any of the locations listed below. You must reside in ...

New

VetsEZ

Backend Engineer (Remote Opportunity)

Miami, FL · On-site +1

Implement business logic, service orchestration, and data access layers to support product ... Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical ...

Worth AI

Engineering Manager

Miami, FL · Remote

Frameworks: Nest.js, React.js * Data & Messaging: PostgreSQL, Kafka, Redis, Redshift ... Experience managing distributed or remote-first teams. * Strong background in distributed systems ...

Worth AI

Engineering Manager

Miami, FL · On-site +1

Frameworks: Nest.js, React.js * Data & Messaging: PostgreSQL, Kafka, Redis, Redshift ... Experience managing distributed or remote-first teams. * Strong background in distributed systems ...

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Showing results 1-20

All JobsData Engineering JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Miami, FL

Remote Data Engineering information

See Miami, FL salary details

$42.6K

$124.1K

$169.8K

How much do remote data engineering jobs pay per year?

As of Jul 13, 2026, the average yearly pay for remote data engineering in Miami, FL is $124,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,500.00 and $131,500.00 per year, depending on experience, location, and employer.

Can I work remotely as a data engineer?

Yes, remote data engineering roles are common, allowing professionals to work from various locations. These jobs often require skills in cloud platforms, programming, and data pipeline tools, and may involve collaboration through online communication tools.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

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

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives.

How to make $1000 a week remote?

Remote data engineers can earn $1000 or more per week by working on high-demand projects, leveraging specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL. Building a strong portfolio, obtaining relevant certifications, and working with multiple clients or on freelance platforms can help increase weekly income. Consistent remote work and advanced expertise are key to reaching this earning level.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Python, and cloud platforms remains critical for managing data workflows effectively.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

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 Remote Data Engineering jobs in Miami, FL? For Remote Data Engineering jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Miami, FL look for? The top searched job categories for Remote Data Engineering jobs in Miami, FL are:
What cities near Miami, FL are hiring for Remote Data Engineering jobs? Cities near Miami, FL with the most Remote Data Engineering job openings:
Remote Data Engineering jobs near you
Sr Data Engineer

Sr Data Engineer

Pediatric Associates

Plantation, FL • Remote

$109K - $131K/yr

Full-time

Re-posted 19 hours 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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