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Data Analytics Engineer Jobs in Miami, FL (NOW HIRING)

Contact Government Services, LLC

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower ...

Contact Government Services, LLC

Data Engineer

Miami, FL · On-site

$112K - $152K/yr

Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower ...

ManTech

Data Engineer

Doral, FL · On-site

$105K - $127K/yr

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ... MANTECH seeks a motivated, career and customer-oriented Journeyman Data Engineer to join our team ...

Lennar

Lead Data Engineer

Miami, FL · Remote

$98K - $129K/yr

Lead Data Engineer We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to ... This position sits in our Enterprise Data and Analytics team, which aims to drive improved business ...

ARC Group

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

You will be working with Data Engineering and Data Analytics technologies on the Azure Cloud platform. This is a fantastic opportunity to join a well-respected global leader in the supply chain ...

Royal Caribbean Group

Lead, Data Engineer

Miami, FL · On-site

The Royal Caribbean Group's Analytics Team has an exciting career opportunity for a full-time Lead, Data Engineer reporting to the Director, Data Solutions Engineering The position is onsite and ...

SEI

Data and Analytics Consultant

Miami, FL · On-site

Data Architecture and Engineering * Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. * Experience designing and ...

Raytheon

Senior EO Sensor Data Analyst Engineer

Miami, FL · On-site

$101K - $137K/yr

The EO Sensor Analyst / Engineer will also develop test parameters to help transition Seekers from engineering phase to production; determine optimal data analysis methods to ensure maximum speed and ...

Base-2 Solutions, LLC

Data Lake Engineer

Doral, FL · On-site

$105K - $127K/yr

Develop and deploy full-stack applications enabling data visualization, dashboarding, and analytics ... Bachelor's degree in Computer Science, Data Engineering, or a related field OR a minimum of 5 years ...

Base-2 Solutions, LLC

Data Lake Engineer

Miami, FL · On-site

$109K - $131K/yr

Develop and deploy full-stack applications enabling data visualization, dashboarding, and analytics ... Bachelor's degree in Computer Science, Data Engineering, or a related field OR a minimum of 5 years ...

Deloitte

Data Engineer II

Miami, FL

$109K - $131K/yr

As an experienced Data Engineer , you will have the ability to share new ideas and collaborate on ... Work you'll do/Responsibilities As part of the Data & Analytics Foundry you will support numerous ...

Stellar IT Group

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

... Analytics Engineers and Analysts to understand downstream data requirements and model data accordingly. • Support infrastructure-as-code practices and contribute to CI/CD pipelines for data assets ...

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Showing results 41-60

All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Miami, FL

Data Analytics Engineer information

See Miami, FL salary details

$42.5K

$123.9K

$169.5K

How much do data analytics engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data analytics engineer in Miami, FL is $123,871.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,300.00 and $131,300.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

What are the key skills and qualifications needed to thrive as a data analytics engineer, and why are they important?

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

What are the most commonly searched types of Data Analytics Engineer jobs in Miami, FL?

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

What are popular job titles related to Data Analytics Engineer jobs in Miami, FL?

For Data Analytics Engineer jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Data Analytics Engineer jobs in Miami, FL look for?

The top searched job categories for Data Analytics Engineer jobs in Miami, FL are:

What cities near Miami, FL are hiring for Data Analytics Engineer jobs?

Cities near Miami, FL with the most Data Analytics Engineer job openings:

Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Miami, FL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,871 per year, or $59.6 per hour.

Product Data Analyst: $53/Hr

Infonet Consulting Group, Inc.

Miami, FL • On-site

$49 - $53/hr

Contractor

Re-posted 18 days ago

Job description

Rate: $53/hr 1099/Corp-to-Corp or $49/hr-W2

JOB LENGTH: 9 Months

One of Infonet's premier clients has an opening for a Product Data Analyst. (970)

TERMS: Contract

SCOPE OF WORK

• Collect, clean, transform, and analyze data from multiple structured and semi-structured sources
• Design, build, and maintain ETL pipelines that ingest data from databases, APIs, flat files, and other sources
• Write and optimize SQL queries to support analytics, reporting, and operational needs
• Develop and maintain Python scripts for data processing, automation, and validation
• Operate within Linux/Unix environments to manage scripts, review logs, schedule jobs, and troubleshoot issues
• Perform data quality checks and resolve data integrity issues
• Produce recurring reports and perform ad hoc analyses to support business and technical stakeholders
• Collaborate with engineering, IT, and business teams to resolve data availability or performance issues
• Document data sources, pipelines, scripts, and operational processes
• Contribute to improving data processes, automation, and best practices

REQUIRED SKILLS / EXPERIENCE

• 3–5 years of professional experience in a data analyst or similar technical role
• Strong proficiency in Python for data analysis, scripting, and automation
• Solid experience with SQL, including complex queries, joins, aggregations, and performance considerations
• Hands-on experience designing and maintaining ETL workflows from multiple data sources
• Comfortable working in Linux/Unix operating systems, including command-line usage and basic system troubleshooting
• Experience with scripting (Python, Bash, or shell scripting)
• Linux and Windows operating systems
• Basic networking concepts such as IP addressing, DNS, ports, and connectivity troubleshooting

PREFERRED EDUCATION

• Bachelor’s degree in Data Analytics, Computer Science, Information Systems, or a related field, or equivalent professional experience

TRAVEL REQUIREMENT

• Yes – between downtown Miami and Miramar offices as needed for collaboration

Company Description

Infonet is an Information Technology staffing firm based in South Florida. The company was founded over 20 years ago by IT Hiring Managers and Software/Hardware Engineers.
What distinguishes Infonet is our passion to serve you. We take your job search seriously, not ourselves.