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Big Jobs in Florida (NOW HIRING)

Ruri Software Technologies LLC

Big Data Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

Big Data Engineer City :Tampa State :FL : TOP REQUIREMENTS: Big Data (Spark, Scala, Hive, Hadoop Ecosystem) Data Streaming (Kafka) Responsibilities * Building and supporting a cloud based analytical ...

krg technology inc

Big Data Architect

Fort Myers, FL · On-site

$59.50 - $76.50/hr

... 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 ...

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Big information

What is the difference between Big vs Small?

AspectBigSmall
Company SizeLarge corporations with thousands of employeesSmall businesses or startups with fewer than 50 employees
Work EnvironmentStructured, hierarchical, formal policiesFlexible, informal, collaborative
Required CredentialsOften higher or specialized certificationsFewer formal credentials needed, more on-the-job training
Industry UsageCommon in finance, tech, manufacturingPrevalent in creative, local services, startups

Big companies typically offer structured environments, formal policies, and often require advanced credentials. Small companies tend to be more flexible, informal, and may prioritize practical experience over formal certifications. The choice depends on your preferred work environment and career goals.

What are some common challenges faced by big data engineers when managing large-scale data pipelines?

Big Data Engineers often encounter challenges such as ensuring data quality and consistency across distributed systems, optimizing data pipeline performance to handle massive data volumes, and maintaining data security and compliance. They also need to troubleshoot complex issues that arise with real-time data processing and integration from multiple sources. Collaborating closely with data scientists, analysts, and IT teams is essential to design scalable solutions that meet business needs.

What is a big data engineer?

Big Data Engineers are IT professionals who design, build, and maintain systems that process large volumes of data. They create the architecture and pipelines required to collect, store, and analyze data efficiently, often working with technologies like Hadoop, Spark, and NoSQL databases. Their work enables organizations to derive valuable insights from massive datasets, supporting data-driven decision-making and advanced analytics.

What are the key skills and qualifications needed to thrive as a big data engineer?

To thrive as a Big Data Engineer, you need a strong background in computer science, data modeling, and programming languages like Python, Java, or Scala, often supported by a relevant degree. Proficiency with big data frameworks (such as Hadoop and Spark), cloud platforms, and database systems is essential, along with certifications like AWS Certified Big Data or Cloudera Certified Professional. Analytical thinking, problem-solving, and effective collaboration are valuable soft skills for tackling complex data challenges and working in diverse teams. These skills ensure efficient data processing, reliable infrastructure, and actionable insights that drive business value.
What cities in Florida are hiring for Big jobs? Cities in Florida with the most Big job openings:
Big jobs near you
Infographic showing various Big job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 19% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution.

Big Data Engineer

Ruri Software Technologies LLC

Tampa, FL • On-site

$52.75 - $69.75/hr

Full-time

Re-posted 21 days ago

Job description

Big Data Engineer
City :Tampa
State :FL
Job Description :
TOP REQUIREMENTS:
Big Data (Spark, Scala, Hive, Hadoop Ecosystem)
Data Streaming (Kafka)
Responsibilities
  • Building and supporting a cloud based analytical platform for complex data systems.
  • Document technical applications, specifications, and enhancements.
  • Collaborate with business and technical stakeholders while defining solutions.
  • Collaborate with the data scientists to organize huge sets of data for data modeling.
  • Recommend ways to improve data reliability, quality and efficiency.
  • Lead engineers in making sound, sustainable, and practical technical decisions.
  • Foster high-performance, collaborative technical work resulting in high-quality output.
  • Compile and present key findings and reports to all levels of the organization, including senior leadership.

What skills/attributes are a must have?
  • 5+ years of experience with Big Data (HDFS, MapReduce, Hive, HBase, Pig, Sqoop, Spark, Scala).
  • Experience building and optimizing data pipelines, architectures and data sets.
  • Experience with data modelling, data management and ETL tools like Kafka Connect, Informatica etc.
  • Experience building and deploying applications to the cloud (AWS, Azure, etc.).
  • Experience working in an Agile environment.
  • Expertise with modern programming languages, systems, and architectures.

What skills/attributes are nice to have?
  • BA/BS degree in Computer Science or equivalent experience.
  • Experience with the use of containers such as Kubernetes and Docker.
  • Experience with DevOps, Continuous Integration, and Continuous Delivery.
  • Expertise in performance and scalability optimization.
  • Knowledge of software and infrastructure security practices.

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