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Big Data Analytics Jobs in Florida (NOW HIRING)

Spatial statistics and analysis * Big data processing tools * Version control systems (Git) * Jupyter notebooks * Data preprocessing and feature engineering * Model evaluation and validation ...

DATA ANALYST

Tampa, FL · On-site

$65 - $90/hr

Knowledge of advanced analytics techniques and predictive modeling. * Familiarity with cloud‑based data platforms and big data technologies. * Competitive salary and performance‑based bonuses.

Spatial statistics and analysis * Big data processing tools * Version control systems (Git) * Jupyter notebooks * Data preprocessing and feature engineering * Model evaluation and validation ...

You will be working with other Data Analytics Team members as well as Engineers and Data Scientists to help improve automation algorithms and leveraging big data to arrive at the most up to date ...

Data Engineer

Aventura, FL · On-site

$109K - $131K/yr

... analytic systems, ensuring data integrity, and implementing software engineering best practices and patterns. The ideal candidate has a strong background in ETL, big data technologies, and cloud ...

Senior Data Analyst

Boca Raton, FL · On-site

$90K - $150K/yr

You will be working with other Data Analytics Team members as well as Engineers and Data Scientists to help improve automation algorithms and leveraging big data to arrive at the most up to date ...

Data Engineer

Aventura, FL · On-site

$109K - $131K/yr

... analytic systems, ensuring data integrity, and implementing software engineering best practices and patterns. The ideal candidate has a strong background in ETL, big data technologies, and cloud ...

Minimum 2 years of experience in Cassandra Data Modelling * Minimum 2 years of Experience CQL (Cassandra Query Language) * Experience in Cassandra Configuration and Administration * Strong Experience ...

Cloud Big Data Engineer

Tampa, FL

$52.75 - $70.50/hr

The candidate will have the traditional skillset of a hands on SQL Server Data Architect/Engineer ... Strong analytical and problem solving skills, comfortable in a transactional high-volume, high ...

Senior Data Analyst

Boca Raton, FL · On-site

$90K - $150K/yr

You will be working with other Data Analytics Team members as well as Engineers and Data Scientists to help improve automation algorithms and leveraging big data to arrive at the most up to date ...

Showing results 41-60

Big Data Analytics information

See Florida salary details

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How much do big data analytics jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for big data analytics in Florida is $44.27, according to ZipRecruiter salary data. Most workers in this role earn between $43.85 and $44.71 per hour, depending on experience, location, and employer.

What is a big data analytics?

A Big Data Analytics job involves analyzing large and complex datasets to extract meaningful insights, trends, and patterns that help businesses make data-driven decisions. Professionals in this field use tools like Hadoop, Spark, SQL, and machine learning algorithms to process and interpret data. Responsibilities may include data mining, predictive modeling, and creating visualizations to communicate findings effectively. These roles are in high demand across industries like finance, healthcare, e-commerce, and technology. Strong analytical skills, programming knowledge, and an understanding of data infrastructure are essential for success in this field.

What does a big data analytics professional do?

A Big Data Analytics professional typically spends their day collecting, cleaning, and organizing large datasets, designing and running data models, and interpreting trends to generate actionable insights for business stakeholders. They may collaborate closely with data engineers, data scientists, and business analysts to ensure data quality and relevance. Regular tasks also include creating data visualizations, preparing reports, and presenting findings to both technical and non-technical teams. Working in this field often involves keeping up-to-date with new technologies and methods to optimize and streamline analytics processes.

What are the key skills and qualifications needed for big data analytics?

To excel in Big Data Analytics, professionals need strong analytical abilities, proficiency in data modeling, statistics, and a solid foundation in computer science or mathematics, often supported by a relevant degree. Experience with tools like Hadoop, Spark, SQL, and familiarity with programming languages such as Python or R—as well as certifications in big data technologies—are highly valued. Critical thinking, effective communication, and problem-solving skills help in translating complex data into actionable business insights. These capabilities are crucial for handling large datasets, deriving meaningful conclusions, and supporting organizational decision-making.

Is big data analytics a good career?

Big Data Analytics is a growing field with high demand for professionals skilled in data mining, statistical analysis, and tools like Hadoop and Spark. It offers competitive salaries, opportunities across various industries, and requires continuous learning of new technologies and programming languages such as Python or R.

What cities in Florida are hiring for Big Data Analytics jobs?

Cities in Florida with the most Big Data Analytics job openings:

Infographic showing various Big Data Analytics job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $92,074 per year, or $44.3 per hour.

Big Data/PySpark Engineering Lead - Vice President

Citi

Tampa, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago


Citibank rating

8.4

Company rating: 8.4 out of 10

Based on 179 frontline employees who took The Breakroom Quiz

39th of 174 rated banks


Job description

The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities. Key Responsibilities Architecture & Design Design and implement scalable, fault-tolerant batch and real-time data processing pipelines.

Develop robust data models and schema designs optimized for both performance and storage efficiency. Evaluate and integrate emerging tools and frameworks (e.g., Spark, Flink, Kafka) into the existing stack. Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals Data Modernization & Migration Leadership Legacy Systems Decommissioning: Lead the strategic migration of data and logic from legacy platforms (e.g

on-premises SQL Servers) to a modern Data Lakehouse environment. ETL/ELT Transformation: Re-engineer existing stored procedures and complex legacy ETL jobs into scalable, distributed processing frameworks using Spark (Python) and Starburst/Trino. Validation & Parity Testing: Design and implement automated frameworks for Data Parity Testing to ensure 100% accuracy and consistency between legacy outputs and new big data results.

Schema Evolution: Map and transform rigid, legacy relational schemas into flexible, high-performance formats optimized for the cloud (e.g., Parquet, Avro, or Iceberg). Phased Cutover Management: Orchestrate a phased migration strategy (Parallel Run, Shadow Execution) to ensure zero downtime for downstream business applications and reporting tools. Performance Benchmarking: Establish performance baselines on legacy systems and ensure the new Big Data architecture meets or exceeds those benchmarks at scale

Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards 2. Engineering Excellence Write clean, high-performance code in Python. Optimize complex SQL queries and fine-tune distributed computing clusters to reduce latency and costs.

Ensure data integrity and security by implementing rigorous validation and encryption standards. 3. DevOps & Reliability Build and maintain CI/CD pipelines for automated testing and deployment of data jobs.

Monitor system health and troubleshoot performance bottlenecks across the data lifecycle. 4. Leadership & Strategy Provide technical mentorship and conduct code reviews for junior and mid-level engineers.

Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary. Translate complex business requirements into technical specifications. Collaborate with Product Managers to ensure data availability for downstream analytics, business models and users Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements Recommended Qualifications: 6+ years of relevant experience in the Financial Service industry Experience as Applications Development Manager Experience as senior level in an Applications Development role Experience in Data Engineering, focused on Big Data ecosystems. Knowledge in Hadoop, YARN, Hive, Impala, Spark, and Spark SQL with extensive high volume of data processing pipeline development. Programming Expert level and hand on experience in Python.

Familiarity with data formats like Avro, Parquet, CSV, JSON. Hands-on experience in writing SQL queries. Highly experienced with Unix based operating systems and shell scripting.

Experience with source code management tools such as Bitbucket, Git etc. Big Data Tech Proficiency and hands-on in Hadoop, Spark, Hive, Kafka, and NoSQL databases (MongoDB, HBase). Experience working with query engines like Trino, Presto, Starburst Strong computer science fundamentals in data structures, algorithms, databases, and operating systems.

Reverse Engineering, ability to read "spaghetti" SQL or old scripts and document the business logic before moving it. Data Lineage, Experience using tools (like Collibra or Informatica) to track where data comes from and where it's going. Change Management, Experience managing the technical "shock" to the business when switching from legacy BI tools to modern query engines like Starburst.

Stakeholder and people management experience Demonstrated leadership skills Proven project management skills Basic knowledge of industry practices and standards Consistently demonstrates clear and concise written and verbal communication Education: Bachelor's degree/University degree or equivalent experience Master's degree preferred ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Primary Location: Tampa Florida United States ------------------------------------------------------ Primary Location Full Time Salary Range: $113,840.00 - $170,760.00 In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above

------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Anticipated Posting Close Date: Sep 03, 2026 ------------------------------------------------------ Automated Processing and AI We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

Illinois residents - AI Notice and Right ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.


What Citibank employees say

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Benefits

Hours and flexibility

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About Citigroup Inc

Sourced by ZipRecruiter

We live in an increasingly complex world. Companies these days are either born global or are going global at record speed. Business and geopolitics are forging an entirely new dynamic and consumers now expect financial services to be a seamless part of their digital lives. Citi is a bank that’s uniquely positioned for this moment. Through our vast global network and our on-the-ground expertise, we can connect the dots, anticipate change and empathize the needs of our clients and customers in ways that other banks simply cannot. Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have set expectations for how we must act to bring our mission to life. These expectations are at the heart of our Leadership Principles – we take ownership, we deliver with pride and we succeed together.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

New York City, NY, US