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Lead Data Analytics Engineer Jobs in Florida (NOW HIRING)

BankUnited

Data Analytics Engineer

Miami Lakes, FL · On-site

$103K - $124K/yr

The Data Analytics Engineer will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ...

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 ...

Lennar Homes

Lead Data Engineer

Miami, FL · On-site

$98K - $129K/yr

This is done by helping design and implement our next generation data and analytics platforms and products using Data engineering best practices. The Lead Data Engineer also will implementing ...

Lennar USA

Lead Data Engineer

Miami, FL · On-site

$98K - $129K/yr

This is done by helping design and implement our next generation data and analytics platforms and products using Data engineering best practices. The Lead Data Engineer also will implementing ...

New

Lennar

Lead Data Engineer

Miami, FL · Remote

$98K - $129K/yr

This is done by helping design and implement our next generation data and analytics platforms and products using Data engineering best practices. The Lead Data Engineer also will implementing ...

Lennar

Lead Data Engineer

Miami, FL · On-site +1

$98K - $129K/yr

This is done by helping design and implement our next generation data and analytics platforms and products using Data engineering best practices. The Lead Data Engineer also will implementing ...

Data Meaning

Lead Data Architect

Boca Raton, FL · On-site +1

$190/hr

... Analytics consulting, renowned for our high-quality consulting services throughout the US and ... The position will work closely with the client's engineering teams and internal Data Meaning ...

Enboarder

Senior Data Analytics Engineer

Boca Raton, FL · On-site

$100K - $136K/yr

Senior Analytics Engineer We're looking for a creative and driven Senior Analytics Engineer to join our high-performing Data Analytics team in a fast-paced Healthcare IT environment. This is a hands ...

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Lead Data Analytics Engineer information

What does a Lead Data Analytics Engineer do?

A Lead Data Analytics Engineer oversees the design, development, and maintenance of data analytics systems within an organization. They lead teams to build data pipelines, optimize data workflows, and ensure data quality and accessibility for business insights. Their role often involves collaborating with data scientists, analysts, and stakeholders to translate business requirements into technical solutions. Additionally, they are responsible for setting best practices, mentoring team members, and staying updated with emerging technologies in data engineering.

What are the key skills and qualifications needed to thrive as a Lead Data Analytics Engineer?

To thrive as a Lead Data Analytics Engineer, you need advanced expertise in data modeling, statistical analysis, and programming, typically supported by a degree in computer science, statistics, or a related field. Mastery of tools such as SQL, Python, R, cloud platforms (like AWS or Azure), and data visualization software, along with certifications like AWS Certified Data Analytics or Google Professional Data Engineer, is highly valued. Strong leadership, problem-solving, and communication skills help you guide teams and translate complex data insights to stakeholders. These competencies are essential for delivering impactful analytics solutions and driving data-driven decision-making within organizations.

How does a Lead Data Analytics Engineer typically collaborate with cross-functional teams?

A Lead Data Analytics Engineer frequently partners with data scientists, business analysts, and software engineers to design and implement scalable analytics solutions. They often act as a bridge between technical teams and business stakeholders, translating business requirements into actionable data models and pipelines. Effective communication and project management skills are crucial in ensuring alignment on goals, timelines, and deliverables. Regular meetings and agile workflows are common, fostering a collaborative environment that supports innovation and timely project delivery.

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

AspectLead Data Analytics EngineerData Scientist
CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; certifications like AWS, Azure, or Google CloudBachelor's or Master's in Data Science, Statistics, or related fields; similar certifications
Work EnvironmentFocus on data infrastructure, pipelines, and analytics tools; often in engineering teamsFocus on statistical modeling, machine learning, and data interpretation; often in research or analytics teams
Employer & Industry UsageUsed in tech, finance, healthcare for building data systems and analytics platformsUsed across industries for predictive modeling, research, and insights generation

The main difference is that Lead Data Analytics Engineers primarily focus on building and maintaining data infrastructure and analytics pipelines, while Data Scientists concentrate on analyzing data, creating models, and deriving insights. Both roles require strong technical skills and often overlap, but their core responsibilities differ in scope and focus.

What cities in Florida are hiring for Lead Data Analytics Engineer jobs?

Cities in Florida with the most Lead Data Analytics Engineer job openings:

Infographic showing various Lead Data Analytics Engineer job openings in Florida as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 71% In-person, 2% Hybrid, and 27% Remote job distribution.

Data Analytics Engineer

Miami Lakes, FL • On-site

BankUnited
Commercial Banking • 1 - 5K employees
Learn more about BankUnitedexternal

$103K - $124K/yr

Full-time

Re-posted 14 days ago

BankUnited rating

8.0

Company rating: 8.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

JOB SUMMARY: The Data Analytics Engineer will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Analytics Engineer will support our data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives. This individual will also be responsible for supporting business units across the organization through the utilization of technical and business knowledge to recommend solutions that solve business problems and reporting needs, amongst other skill sets. This includes identifying and defining data analytics needs as well as the structuring and analysis of data from multiple source systems for the purposes of creating and maintaining reporting (e.g. visual and flowchart modeling). The Data Analytics Engineer works closely with a multifunctional team of data engineers, data analysts, and AI/ML solutions engineers. As a result, this individual is exposed to bleeding-edge generative AI technology and the latest large language models and will have a hand in helping develop full-stack applications that leverage those technologies.
ESSENTIAL DUTIES AND RESPONSIBILITIES
  • Creates and maintains optimal data pipeline architecture
  • Assembles large, complex data sets that meet functional / non-functional business requirements.
  • Identifies, designs, and implements internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Works closely with IT departments to build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies
  • Combines raw information from different sources to create consistent and machine-readable formats
  • Develops and tests architectures that enable data extraction and transformation for predictive or prescriptive modeling
  • Supports the data mining, reporting and general analytics needs of the department
  • Identifies process gaps and recommend new opportunities for process improvement through the use of quantitative analytics
  • Applies statistical techniques to interpret risk and develop solutions for business consumption
  • Leverages understanding of multiple data structures and sources to perform complex data manipulation using advanced data extraction and analytical tools and techniques
  • Recognizes the connection between the business operations and analytics to influence business strategies through the interpretation and explanation of data to stakeholders
  • Supports development of innovative approaches and best practices
  • Performs any other assignments as directed by manager.
  • Adheres to and complies with applicable, federal and state laws, regulations and guidance, including those related to anti-money laundering (i.e. Bank Secrecy Act, US PATRIOT Act, etc.).
  • Adheres to Bank policies and procedures and completes required training.
  • Identifies and reports suspicious activity.

QUALIFICATIONS
Education
  • Bachelor's Degree in Computer Science, Data Analytics, Data Science, Management Information Systems or a related field

Experience
  • At least 4 years working with data modeling, software implementation, enhanced reporting analytics and/or related experience in financial services data analysis and/or application development
  • Required hands-on experience with Snowflake, including data modeling, performance optimization, and building and maintaining production data pipelines
  • Preferred experience with dbt (data build tool) for data transformation, testing, and analytics workflow orchestration
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement

Knowledge, Skills, and Abilities
  • Mastery of analytic and data visualization tools such as SAS, SQL, Adobe Analytics Tableau, Google Analytics, Python or R, AWS Cloud Services (Cloudwatch ,EC2, EMR, Redshift, Athena,Glue) etc
  • Ability to multitask, meet deadlines, manage competing demands/multiple projects, maintain a strong sense of urgency and follow through in addressing issues
  • Effective and persuasive presentations (verbal and written) for project teams and business leaders
  • Maintains strong attention to detail in high-pressure situations
  • Solid understanding of data warehouse and dimensional modeling concepts

Additional Information
  • Candidates residing in locations within BankUnited's footprint may be given preference.

Candidates residing in locations within BankUnited's footprint may be given preference.

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