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Big Data Analytics Jobs in Florida (NOW HIRING)

Big Data Architect

Fort Myers, FL

$59.50 - $76.50/hr

... Big data analytics technologies Played pivotal roles as an engineer and architect across domains ... MySQL or Oracle), Analytics platforms (e.g. Pentaho, BO or similar) and OLAP technologies Solid ...

Big Data Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

Big Data (Spark, Scala, Hive, Hadoop Ecosystem) Data Streaming (Kafka) Responsibilities ... Building and supporting a cloud based analytical platform for complex data systems. * Document ...

Big Data Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

Analytical, flexible, team-oriented and has good interpersonal/communication skills. Apply Internal Standards for re-use, Architecture, Testing and general best practices. Responsible for full ...

The Big Data Systems Engineer will work on the deployment and integration of a highly visible data analytic project called Cloud Hybrid Edge-to-Enterprise Evaluation Test & Analysis Suite (CHEETAS ...

The Big Data Systems Engineer will work on the deployment and integration of a highly visible data analytic project called Cloud Hybrid Edge-to-Enterprise Evaluation Test & Analysis Suite (CHEETAS ...

The Big Data Systems Engineer will work on the deployment and integration of a highly visible data analytic project called Cloud Hybrid Edge-to-Enterprise Evaluation Test & Analysis Suite (CHEETAS ...

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 ... and AWS 'big data' technologies * Combines raw information from different sources to create ...

Data Analyst with strong experience in Big Data, Cloud (AWS & GCP), and AI/ML-enabled data platforms. Good in Snowflake NoSQL: MongoDB, DynamoDB, Cassandra RDBMS: Oracle Key Responsibilities * The ...

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Showing results 1-20

Big Data Analytics information

See Florida salary details

$42

$44

$45

How much do big data analytics jobs pay per hour?

As of Jul 30, 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 are the typical daily responsibilities of a Big Data Analytics professional?

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 to thrive in the Big Data Analytics position, and why are they important?

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.

What is a Big Data Analytics job?

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 job categories do people searching Big Data Analytics jobs in Florida look for? The top searched job categories for Big Data Analytics jobs in Florida are:
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 July 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $92,074 per year, or $44.3 per hour.

$59.50 - $76.50/hr

Full-time

Re-posted 27 days ago


Job description

Company Description

Sevagan M

KRG Technologies, Inc.,

sevagan(at)krgtech.com

25000 Avenue Stanford, Suite #243, Valencia, CA 91355

Direct : 661-367-8000 Ext : 513


Job Description

Experience working in / Understanding of Big data analytics technologies
Played pivotal roles as an engineer and architect across domains
Past hands on experience with open source Big data technologies - Spark, HBase, Hadoop, MapR and Map/Reduce, Pig, Hive
OR exposure to commercial platform Big data technologies from providers such as SAS, IBM or Oracle
Clear understanding of usage and implementations at scale of NoSQL solutions like Hbase, Cassandra, MongoDB, CouchDB, and be comfortable with commercial solutions too
Expertise in SQL databases (e.g. MySQL or Oracle), Analytics platforms (e.g. Pentaho, BO or similar) and OLAP technologies
Solid technology stack in J2EE and .Net (desirable but not essential)
Solid understanding of the core R language and scripting requirements
Must have worked with solutions/projects involving both real time as well as offline analytics involving multiple sources of data
Must have some understanding of data integration technologies and methodologies (middleware, API driven, ETL tools driven, streaming etc.)
Be very comfortable with Agile methodologies in order to be able to arrive at difficult engineering decisions quickly
Must have had experience creating solutions or solution concepts and defending these with technology councils / architect groups
Worked in projects to integrate enterprise data with high volume and velocity 2nd or 3rd party data from other sources such as Social channels or 3rd party sources such DMPs or aggregators
Should have seen at least one implementation complete lifecycle implementation and subsequent infrastructure tuning for a major Big Data project

Additional Information

Strong Experience on Big Data, Hadoop,Pig,Hive, Hbase,Spark


KRG Technologies logo

About KRG Technologies

Sourced by ZipRecruiter

KRG Technologies was founded with a simple motive of offering the clients exactly what they want, how they want and when they want. By leveraging for its clients its technological edge and right-sourcing advantage, KRG in a short period of time has grown to become one of the most trusted strategic technology partners. Treating every client as the top priority, we customize our solutions and services to align with the unique needs of each client. Headquartered in Valencia, California, KRG employs a unique global delivery platform to minister its offerings spanning from application development and maintenance to business process reengineering. With years of hands-on domain experience and international presence, we offer state-of-the-art solutions backed by our follow-the-sun service model in the most cost effective manner. We value our clientele for the trust reposed in us and our clientele admire us for our personalized approach and deep commitment to their success. Our biggest strength lies in technical expertise of our team and individual competency of our employees, which enables us to be the most befitting solution provider.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

Valencia, CA, US

Year founded

2003

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