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

Workiva

Spring 2027 Intern - Data Analytics

Hialeah, FL · On-site

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Workiva

Spring 2027 Intern - Data Analytics

Hialeah, FL · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Workiva

Spring 2027 Intern - Data Analytics

Miami, FL · On-site

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Workiva

Spring 2027 Intern - Data Analytics

Miami, FL · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Kforce Technology Staffing

Data Engineer

Fort Lauderdale, FL · On-site

$109K - $131K/yr

Summary: The Data Engineer supports operations and conducts data analytics projects to provide information and insights to stakeholders for decision-making or solution development. This role ...

Happy Agencies

Data Analyst

Miami, FL

Develop, implement, and manage advanced database systems, data analytics, and other strategies to ... Proficiency with reporting packages, databases, programming languages (e.g., XML, Javascript, or ET ...

Base-2 Solutions, LLC

Data 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 ...

Base-2 Solutions, LLC

Data 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 ...

WAI GLOBAL

Analyst, AI Engineer

Miramar, FL · On-site

Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Artificial Intelligence, or a related technical field preferred; equivalent experience may be considered based ...

Stellar IT Group

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Collaborate with Analytics Engineers and Analysts to align data models with downstream requirements. * Contribute to CI/CD pipelines and infrastructure-as-code practices for data assets. * Document ...

SEI

Data and Analytics Consultant

Miami, FL

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 ...

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Showing results 21-40

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.

Head of Commercial Data & Analytics

Valley Bank

Fort Lauderdale, FL • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Valley Bank rating

7.3

Company rating: 7.3 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

112th of 174 rated banks

Job description

Responsibilities include but are not limited to:

  • Enable commercial segment strategies through Salesforce CRM capabilities to track sales activity and enable a relationship approach to managing and growing client relationships.
  • Deliver actionable opportunities to acquire new customer relationships and deepen existing relationships, through the delivery of behavioral insights into sales platforms.
  • Drive business ownership and capability development of the Salesforce CRM platform.
  • Partner with commercial and data teams to improve data integrity of client-banker relationships and to build a full-relationship view of customers, across business segments.
  • Develop new data sources and measurement capabilities to increase sales effectiveness.
  • Build and lead a team of high-performing business analysts; develop talent to increase data capabilities and financial acumen across the bank.

Required Skills:

  • Prior experience with business leadership of CRM systems (such as Salesforce, Microsoft Dynamics) to enable sales effectiveness.
  • Hands-on experience in translating business objectives into data needs and building metrics to answer key questions.
  • Strong understanding of banking processes, including relationship selling, prospecting for new relationships and commercial lending workflow.
  • Prior experience working with client-facing teams such as sales, commercial and variety of internal middle and back-office functions preferably in financial services and/or highly regulated industry.
  • Proven ability to influence and partner at the senior leadership level.
  • Demonstrated ability to build and motivate high performing teams towards extraordinary levels of excellence and standards.
  • Superior presentation and storytelling skills, customer focus and ability to work in diverse, cross functional team environment.
  • Collaborative approach and ability to partner effectively with business, data, and technology teams.
  • Advanced knowledge of CRM platforms, especially sales-enabling and data/analytics capabilities.
  • Demonstrated record of influencing others through consensus building in a cross functional environment.

Required Experience:

  • Bachelor's degree in Finance or a quantitative discipline, such as Data Science, Mathematics, Business Analytics, Econometrics, Engineering, Sciences.
  • Minimum of 7 years working in a business analysis or process leadership role with hands-on experience in leading enterprise systems, delivering data and insights through CRM platforms.
  • Experience building and/or managing a team.

Preferred Required

  • Financial Services experience and knowledge of Retail/Commercial Banking industry, products, and data highly desired.

What Valley Bank employees say

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