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Data Analytics Engineer Jobs in Florida (NOW HIRING)

Red Lobster

Manager, Data Analytics & BI

Orlando, FL · On-site

This role is responsible for driving enterprise reporting, advancing data engineering practices, and building a scalable analytics ecosystem that supports data-driven decision making across the ...

DDS LAB LLC

Jr Data Analyst

Tampa, FL · On-site

... Analytics Engineer and IT leadership to help reduce reporting backlog and accelerate business insights delivery. Key Responsibilities * Write and optimize SQL queries to extract, transform, and ...

Hylant

Lead Data & Analytics Architect

Jacksonville, FL · On-site

The position serves as a technical authority and strategic partner across data engineering, analytics, and business teams. This role will be measured by its contribution to business outcomes such as ...

Hylant

Lead Data & Analytics Architect

Orlando, FL · On-site

The position serves as a technical authority and strategic partner across data engineering, analytics, and business teams. This role will be measured by its contribution to business outcomes such as ...

KLS Martin

Sr Analytics Engineer (34453)

Jacksonville, FL · On-site

$96K - $132K/yr

... Senior Analytics Engineer is a hands-on technical lead who takes direct ownership of the ... As data platforms increasingly incorporate artificial intelligence, this role drives hands-on ...

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All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Florida

Data Analytics Engineer information

See Florida salary details

$33.3K

$96.9K

$132.6K

How much do data analytics engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data analytics engineer in Florida is $96,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $102,800.00 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.

Can a data engineer make 200k?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and those in high-demand markets more likely to reach or exceed this level.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, machine learning, and proficiency with tools like Python, SQL, and cloud platforms can reach salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes equity compensation.

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.

Is 40 too late for data science?

Data Analytics Engineers and data science professionals can successfully transition into the field at age 40 or older, as skills such as programming, statistical analysis, and experience with tools like Python or SQL are valuable regardless of age. Many employers value diverse experience and lifelong learning, and certifications or online courses can help enhance credentials at any age.

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 systems 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 deliver actionable insights.
What are the most commonly searched types of Data Analytics Engineer jobs in Florida? The most popular types of Data Analytics Engineer jobs in Florida are:
What are popular job titles related to Data Analytics Engineer jobs in Florida? For Data Analytics Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Analytics Engineer jobs in Florida look for? The top searched job categories for Data Analytics Engineer jobs in Florida are:
What cities in Florida are hiring for Data Analytics Engineer jobs? Cities in Florida with the most Data Analytics Engineer job openings:
Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Florida as of July 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, 1% Temporary, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $96,936 per year, or $46.6 per hour.
Data Analytics Manager 2

Data Analytics Manager 2

Northrop Grumman Corporation

Melbourne, FL • On-site

$126K - $189K/yr

Full-time

Medical, Life, PTO

Re-posted 2 days ago

Northrop Grumman rating

8.1

Company rating: 8.1 out of 10

Based on 352 frontline employees who took The Breakroom Quiz

107th of 527 rated manufacturers

Job description

RELOCATION ASSISTANCE: No relocation assistance available
CLEARANCE REQUIRED FOR START: Yes
CLEARANCE TYPE: Secret
TRAVEL: Yes, 10% of the TimeDescription
At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.
Northrop Grumman Aerospace Systems (NGAS) is seeking a Data Analytics Manager to lead the Program Management (PM) Data Strategy & Analytics activities. The team is responsible for establishing a culture of data driven decision making and creating business value through promoting the application of data analytics and Artificial Intelligence (AI) tools and techniques across a broad range of business areas. They will regularly interact with key stakeholders to identify, develop, and deploy data analytics systems that are aligned to our strategic roadmap. The successful candidate must be entrepreneurial and a self-starter with the ability to challenge the status quo.
This role is hybrid and requires regular onsite presence in Melbourne, FL. Candidates must be within a commutable distance of the Melbourne site.
Job Responsibilities
  • Develop and implement the NGAS PM Data Strategy, in support the Enterprise Data Strategy
  • Lead the execution of NGAS PM data analytics and AI activities
  • Proactively identify issues and inefficiencies within the business to develop and deploy solutions
  • Drive the adoption of data analysis methodologies across sector and program operations for improved performance analysis
  • Lead the monitoring and analysis of operational data to identify trends, issues and opportunities, and provide recommendations/solutions
  • Actively engage with sector leaders and key stakeholders to identify and understand operational issues and develop solutions
  • Design and manage the NGAS PM data infrastructure and automation
  • Design, develop, and maintain scalable data pipelines and ETL processes across multiple data sources
  • Build and optimize data models (star, snowflake, data vault) for analytics and reporting
  • Implement robust data quality, validation, and monitoring frameworks to ensure reliability of downstream insights

Basic Qualifications:
  • Bachelor's degree in STEM related discipline and 9 years minimum of related experience OR Master's degree with STEM 7 years of related Data Analytics as defined below.
  • 2 years as a technical leader of product development teams that have successfully delivered customer-driven products
  • Strong proficiency in SQL and Python.
  • Strong proficiency developing and deploying Tableau dashboards and the ability to translate business needs into visual insights.
  • Excellent ability to communicate complex analytical subject matter across varied audiences
  • Strong understanding of business and engineering processes, tools, and techniques
  • Experience with large scale distributed software and agile software development methodologies
  • Proven ability to lead and inspire cross-functional teams
  • Experience with UX design and development
  • Must possess an active US Government Secret clearance with the ability to obtain Special Access Program (SAP) clearances

Preferred Qualifications:
  • Master's Degree in Engineering, Mathematics, Statistics, or Computer Science
  • Software development experience
  • Demonstrated experience developing product visions and fostering effective engineering teams
  • Experience collecting, analyzing, and synthesizing insights from multiple data sources
  • Understanding of Northrop Grumman policy, process, and products
  • Ability to make decisions with minimal support
  • Experience in a program management role
  • Current Special Access Program (SAP) clearances.

Primary Level Salary Range: $126,600.00 - $189,800.00
The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.
Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.
The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.
Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

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About Northrop Grumman

Sourced by ZipRecruiter

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible.

Industry

Space research administration

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US

Year founded

1939

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