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Data Analytics Engineer Jobs in Florida (NOW HIRING)

Sr Associate Data Analytics

Tampa, FL · On-site +1

$95K - $117K/yr

Collaborate with cross-functional teams including data analysts, data engineers and data scientists to identify & prioritize requirements, brainstorm solutions, and clarify business objectives for ...

Develop and implement data collection methods: Establish and execute processes to systematically collect key performance metrics throughout each supported mission. Champion operational procedures ...

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 ...

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 ...

The Data Analytics Team Lead will be responsible for the oversight of the Data Analytics team and ... Assists platform engineers, account personnel, and external clients with daily workflow ...

Showing results 21-40

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 Aug 23, 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.

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 Florida?

The most popular types of 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:

Infographic showing various Data Analytics Engineer job openings in Florida as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $96,936 per year, or $46.6 per hour.

Data Analytics Developer, AVP - Credit and Insurance

Blackstone

Miami, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago


Job description

Blackstone is the world's largest alternative asset manager. We seek to create positive economic impact and long-term value for our investors, the companies we invest in, and the communities in which we work. We do this by using extraordinary people and flexible capital to help companies solve problems. Our $1.1 trillion in assets under management include investment vehicles focused onprivate equity, real estate, public debt and equity, infrastructure, life sciences, growth equity, opportunistic, non-investment grade credit, real assets and secondary funds, all on a global basis.Further information is available at www.blackstone.com. Follow @blackstone onLinkedIn,X, andInstagram.

Blackstone Technology & Innovations (BXTI) is the technology team at the core of each of Blackstone's businesses and new growth initiatives. Serving both internal and external clients, we work to build the next generation of systems that manage risk, create efficiency, and improve transparency within the firm and across our broad community of investors and portfolio companies.

BXTI is entrepreneurial - our open, iterative design processes and rapid pace of engineering mean that everyone on the team can make an impact from day one. We are problem solvers who can take projects from idea to implementation. We believe in active mentoring and developing excellence. We collaborate to find the best answers for our customers and for Blackstone. We are critical to the firm maintaining its competitive edge.

Blackstone is looking to hire an Associate to be an integral member of the Blackstone Technology Global Liquid Analytics team. This individual will be responsible for the analysis, design, implementation, testing, debugging and deployment of scalable data-driven analytics tools for the Blackstone Credit & Insurance platform. The candidate will help build the platform through use data science, statistics, and computer programming.

The candidate must possess the knowledge to work hand-in-hand with portfolio managers, asset allocators, middle-office operations, data governance, risk, and fund finance teams focusing on creating scalable analytics tooling. This includes building interactive dashboards & apps focused on portfolio risk characteristics with insights for internal managers and external clients. The candidate will also be using their engineering and/or data science background to help find alpha in complex credit and structured security markets.

From the technical perspective, the candidate should be comfortable working with diverse datasets and transforming unstructured & unclean data into an organized format suitable for data science. The individual should be proficient with Python and SQL to build a clean and scalable code base that powers the analytical models and generates novel insight from the data. The candidate is responsible for building interactive data visualization tools using Business Intelligence software like Sigma & Tableau. The candidate also plays an important role in implementing and extending core system architecture and data warehouses using Snowflake & AWS to build a solid foundation for analytics. Web development expertise in React & Typescript based application frameworks in AWS infrastructure (Terraform) is an added plus.

Qualifications:

  • Bachelors or Masters degree in a STEM domain (e.g., Engineering, Computer/Data Science or similar).

  • 3+ years of experience in data analytics/data science role.

  • Proficiency in database design as well as SQL and Python programming languages.

  • Work experience with business intelligence applications (e.g., Sigma, Tableau). Work experience with designing and implementing scalable portfolio analytics platforms.

  • Familiarity with big data analytical techniques and cloud technologies including Amazon Web Services (AWS) and Snowflake.

  • Proficient in programming in Python and SQL to build scalable and clean code base for analytics platforms.

  • Expert in database architecture design and performance optimization. Strong skills designing optimal data structures to host diverse financial data sets. Expert in data visualization tools like Sigma & Tableau. Can quickly build large scale complicated visualization platforms.

  • Expert in designing core data analytics model with a focus on reusability, data processing performance and data accuracy.

  • Knowledge in math and statistics to implement financial simulation models and understanding security/fund risk methodologies.

Preferred Qualifications:

  • Work experience with fixed income investment strategies.

  • Experience with web-based application development in React & Typescript with AWS infrastructure (Terraform).


The duties and responsibilities described here are not exhaustive and additional assignments, duties, or responsibilities may be required of this position. Assignments, duties, and responsibilities may be changed at any time, with or without notice, by Blackstone in its sole discretion.

Expected annual base salary range:

$100,000 - $170,000

Actual base salary within that range will be determined by several components including but not limited to the individual's experience, skills, qualifications and job location. For roles located outside of the US, please disregard the posted salary bands as these roles will follow a separate compensation process based on local market comparables.
Additional compensation and benefits offered in connection with the role consist of comprehensive health benefits, including but not limited to medical, dental, vision, and FSA benefits; paid time off; life insurance; 401(k) plan; and discretionary bonuses. Certain employees may also be eligible for equity and other incentive compensation at Blackstone's sole discretion.

Blackstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other class or status in accordance with applicable federal, state and local laws. This policy applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, transfer, leave of absence, compensation, and training. All Blackstone employees, including but not limited to recruiting personnel and hiring managers, are required to abide by this policy.

If you need a reasonable accommodation to complete your application, please contact Human Resources at 212-583-5000 (US), +44 (0)20 7451 4000 (EMEA) or +852 3656 8600 (APAC).

Depending on the position, you may be required to obtain certain securities licenses if you are in a client facing role and/or if you are engaged in the following:

  • Attending client meetings where you are discussing Blackstone products and/or and client questions;

  • Marketing Blackstone funds to new or existing clients;

  • Supervising or training securities licensed employees;

  • Structuring or creating Blackstone funds/products; and

  • Advising on marketing plans prepared by a sales team or developing and/or contributing information for marketing materials.

Note: The above list is not the exhaustive list of activities requiring securities licenses and there may be roles that require review on a case-by-case basis. Please speak with your Blackstone Recruiting contact with any questions.
To submit your application please complete the form below. Fields marked with a red asterisk * must be completed to be considered for employment (although some can be answered "prefer not to say"). Failure to provide this information may compromise the follow-up of your application. When you have finished click Submit at the bottom of this form.