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Senior Data Analytics Engineer Jobs in Hialeah, FL

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 ...

Royal Caribbean Cruise Line

Data Analytics Engineer

Miami, FL · On-site

$109K - $131K/yr

The Royal Caribbean Group's Revenue Planning & Analysis Team has an exciting career opportunity for a full time Data Analytics Engineer reporting to the Data Analytics Engineer Lead. The position is ...

Royal Caribbean Group

Data Analytics Engineer

Miami, FL · On-site

$109K - $131K/yr

The Royal Caribbean Group's Revenue Planning & Analysis Team has an exciting career opportunity for a full time Data Analytics Engineer reporting to the Data Analytics Engineer Lead. The position is ...

Pediatric Associates

Sr Data Engineer

Plantation, FL · On-site

$109K - $131K/yr

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 ...

Pediatric Associates

Sr Data Engineer

Plantation, FL · Remote

$109K - $131K/yr

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 ...

eMed LLC

Analytics Engineer

Miami, FL · On-site

Analytics Engineer Location: On-Site Miami • Reports to: Director, Data & Analytics • ... Data & Analytics About eMed eMed is a digital-health company built on its Empathetic AI™ ...

WatchGuard Technologies, Inc.

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 ... You will work closely with data analysts, analytics engineers, and product stakeholders to deliver ...

WatchGuard Technologies, Inc.

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 ... You will work closely with data analysts, analytics engineers, and product stakeholders to deliver ...

INSPYR Solutions

Senior Data Scientist

Hollywood, FL · On-site

The Senior Data Scientist plays a critical role in shaping the future of business by developing ... Knowledge of multiple programming languages and statistical analysis tools such as Python, C ...

Univision

Senior Data Engineer

Miami, FL

$101K - $137K/yr

The Senior Data Engineer will play a key role in the design, development, and deployment of our ... Partner with Product Managers, Data Scientists, Analysts, and Engineering teams to understand ...

Univision Communications, Inc.

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

The Senior Data Engineer will play a key role in the design, development, and deployment of our ... Partner with Product Managers, Data Scientists, Analysts, and Engineering teams to understand ...

TelevisaUnivision

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

The Senior Data Engineer will be responsible for designing, developing, and deploying data ... support analytics, reporting, machine learning, and product initiatives • Ensure data quality ...

Deloitte

Senior Data Engineer

Miami, FL · Hybrid

$101K - $137K/yr

Conduct root cause analysis on production incidents and implement permanent fixes * Mentor junior ... As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate ...

Stellar IT Group

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

... analytics. This role will focus on developing reliable pipelines that ingest data from key ... Partner with the Senior Data Architect on data governance practices (cataloguing, certification ...

Paramount

Senior Data Engineer

Fort Lauderdale, FL

$110K - $165K/yr

Overview As a Senior Data Engineer, you will play a pivotal role in driving our data strategy and ... Utilize tools such as Jupyter, SQL, dashboards, statistical analysis, and data visualizations to ...

Prescient Edge

Senior Data Scientist

Doral, FL · On-site

... workflows, feature engineering processes, and audit compliance. Job Requirements Experience ... Personnel must be able to translate operational challenges into analytic solutions, ensuring ...

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All JobsData Analytics Engineer JobsSenior Data Analytics Engineer JobsSenior Data Analytics Engineer Jobs in Hialeah, FL

Senior Data Analytics Engineer information

See Hialeah, FL salary details

$73.4K

$114.4K

$158.5K

How much do senior data analytics engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for senior data analytics engineer in Hialeah, FL is $114,410.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,000.00 and $130,400.00 per year, depending on experience, location, and employer.

What does a senior data analytics engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

How does a senior data analytics engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

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

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.

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

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

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

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

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

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

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

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

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

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

Senior Data Analytics Engineer jobs near you
Infographic showing various Senior Data Analytics Engineer job openings in Hialeah, FL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $114,410 per year, or $55 per hour.

Data Analytics Engineer

BankUnited

Miami Lakes, FL • On-site

$103K - $124K/yr

Full-time

Re-posted 21 days ago

BankUnited rating

8.0

Company rating: 8.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

71st of 171 rated banks

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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