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

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 ...

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 ...

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior Data Engineering will work closely with other teams, such as data science and product development, to understand their data needs and ensure initiatives are driven to completion. The ideal ...

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior Data Engineering will work closely with other teams, such as data science and product development, to understand their data needs and ensure initiatives are driven to completion. The ideal ...

Google Senior Data Engineer

Miami, FL · On-site

$94K - $266K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Support prompt engineering, embeddings, and retrieval-augmented generation (RAG) experimentation ... Collaborate closely with senior data engineers, ML engineers, and architects. * Contribute to ...

New

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

The Senior Data Engineer will be responsible for designing, developing, and deploying data ... Required : • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems ...

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

Senior Data Engineer

Miami, FL · Hybrid

$101K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Leads the architecture, engineering, and ongoing operation of the security data lake and associated data products supporting multiple security technologies and data sources. Establishes the technical ...

Sr Data Engineer

Fort Lauderdale, FL

$116K - $153K/yr

  • PTO

Senior Data Engineer Role Details: We are looking for a talented senior data engineer specializing ... What you bring to the team You have: 5+ years of experience in data engineering and data system ...

Sr Data Engineer

Fort Lauderdale, FL · On-site

$109K - $131K/yr

  • PTO

Senior Data Engineer Role Details: We are looking for a talented senior data engineer specializing ... What you bring to the team You have: • 5+ years of experience in data engineering and data system ...

Senior Data Engineer

Miami, FL · Hybrid

$101K - $137K/yr

Define and enforce data engineering standards - naming conventions, partitioning strategies ... As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate ...

The Senior Data Developer will be, extracting, transforming, and loading data from various sources (external and internal) into an enterprise-wide MDM, transactional database and data warehousing ...

Senior Data Engineer

Miami, FL · On-site

$150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are looking for a Senior Data Engineer to join our growing data platform team. You will own the ... This role sits at the intersection of data engineering and platform engineering -- you will be ...

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

We are looking for a Senior Data Engineer to join our growing data platform team. You will own the ... This role sits at the intersection of data engineering and platform engineering -- you will be ...

Senior Data Engineer

Miami, FL · On-site

$149K - $170K/yr

Rumble is seeking a Senior Data Engineer to design, build, and operate the data platforms and ... You'll work closely with engineering and product teams to turn ambiguous requirements into clear ...

Rumble is seeking a Senior Data Engineer to design, build, and operate the data platforms and ... You'll work closely with engineering and product teams to turn ambiguous requirements into clear ...

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Showing results 1-20

Senior Data Engineering information

See Miami, FL salary details

$15

$54

$77

How much do senior data engineering jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for senior data engineering in Miami, FL is $54.34, according to ZipRecruiter salary data. Most workers in this role earn between $44.62 and $64.38 per hour, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a senior data engineer?

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.

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.

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 Miami, FL?

The most popular types of Data Engineering jobs in Miami, FL are:

What job categories do people searching Senior Data Engineering jobs in Miami, FL look for?

The top searched job categories for Senior Data Engineering jobs in Miami, FL are:

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

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

Infographic showing various Senior Data Engineering job openings in Miami, FL as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $113,024 per year, or $54.3 per hour.

Sr Data Engineer

Pediatric Associates

Plantation, FL • Remote

$109K - $131K/yr

Full-time

Re-posted 3 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