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

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 • ...

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 ...

Data Scientist

Doral, FL · On-site +1

$112K - $257K/yr

Remote Work: No Job Number: R0245993 Location: Doral,FL,US Share job via: Share Data Scientist The ... Azure AI Engineer Associate, or Certified Analytics Professional Certification Clearance:

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Annotate data, interpret findings, and perform fact-checking to ensure high-quality content ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

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 ...

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 ...

... of data and secrets, immediate transparency on incidents * Act as a designated backup for the ... An AI-first engineering organization where management leverage is the core bet Location Remote. USA ...

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 ...

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 ...

Data Lake Engineer

Doral, FL · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0245982 Location: Doral,FL,US Share job via: Share Data Lake Engineer The Opportunity: For an organization to transform in today's digital world, it needs to properly ...

Data Analyst

Miami, FL · On-site +1

$75K - $85K/yr

Remote (Central or Eastern U.S.) Compensation : $75,000-$85,000 DOE annual base salary + 10% annual ... Engineering * Operations Research * Mathematics * Applied Mathematics * Statistics * Or a related ...

Strong backend engineering expertise and the ability to deliver high-quality technical solutions ... Solid knowledge of REST APIs, data structures, and backend best practices . * Strong problem ...

New

AI Software Engineering Domain Remote Job Type: Contractor (Part-Time) Location: Remote Job ... Interpret and annotate technical data to support AI model training and evaluation. * Collaborate ...

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

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

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 Aug 23, 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.

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?

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.

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 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 cities near Miami, FL are hiring for Remote Data Engineering jobs?

Cities near Miami, FL with the most Remote Data Engineering job openings:

Infographic showing various Remote Data Engineering job openings in Miami, FL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $124,066 per year, or $59.6 per hour.

Sr Data Engineer

Pediatric Associates

Plantation, FL • Remote

$109K - $131K/yr

Full-time

Re-posted 12 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