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Disys Jobs in Florida (NOW HIRING)

Disys

Bigdata Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

Position Details: Job Title: Bigdata Engineer Location: Tampa, FL Duration: 12+ Months Contract to hire Job Responsibilities: Principal Responsibilities Design interfaces to the data warehouses/data ...

Dexian DISYS

Project Estimator (Solar)

Juno Beach, FL · On-site

Job Details: Job Title : Substation Engineer Job Duration : 12+ Months (Possibility of Extension) Location: Juno Beach, FL (Remote) Job Summary: * Our Engineering & Construction Business Unit is ...

Dexian DISYS

Security Analyst

Tallahassee, FL · On-site

Position Summary We are seeking a dedicated Security Analyst to join our team in supporting the configuration, maintenance, and security of end user applications within a comprehensive Office 365 ...

New

Dexian DISYS

Cloud Devops Engineer

Tampa, FL · On-site

$48 - $65.75/hr

* Drive automation standards across our testing and production environments and be a key resource as we migrate our monolith and microservice application to the cloud * Create high-performance ...

Dexian DISYS

Jr Architect

Brandon, FL · On-site

Job Title: Junior Developer / Software Architect Location: Tampa, FL Job Type: Full-time Experience Level: Junior About the Role We are seeking a highly motivated Junior Developer / Architect with a ...

Disys - Oak Brook

Bigdata Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

Company Description Position Details: Job Title: Bigdata Engineer Location: Tampa, FL Duration: 12+ Months Contract to hire Job Responsibilities: Principal Responsibilities • Design interfaces to ...

All JobsDisys JobsDisys Jobs in Florida

Disys information

See Florida salary details

$8

$15

$21

How much do disys jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for disys in Florida is $15.10, according to ZipRecruiter salary data. Most workers in this role earn between $12.93 and $16.68 per hour, depending on experience, location, and employer.

What types of projects and clients can a consultant expect to work with at DISYS?

At DISYS, consultants often engage with a diverse range of clients across industries such as finance, healthcare, technology, and energy. Projects typically involve IT consulting, business process optimization, and digital transformation initiatives. Consultants may work individually or as part of agile teams, collaborating closely with client stakeholders and internal subject matter experts. This dynamic environment provides opportunities to expand technical skills, adapt to new business domains, and build professional networks.

What is Disys and what does the company do?

Disys, short for Digital Intelligence Systems, LLC, is a global staffing and IT consulting company that provides workforce solutions and technology services to businesses. The company specializes in areas such as IT staffing, managed services, and consulting across various industries. Disys helps organizations find skilled professionals for contract, contract-to-hire, and permanent positions, and also offers project-based solutions to address business challenges. Their clients range from Fortune 500 companies to small and medium-sized enterprises, making Disys a versatile partner in the technology and staffing sectors.

What are the key skills and qualifications needed to thrive as a Disys consultant, and why are they important?

To thrive as a Disys consultant, you generally need a strong background in IT or business consulting, with relevant degrees or certifications depending on your specialty (such as computer science, IT, or business administration). Familiarity with industry-standard tools like Microsoft Office Suite, project management software, and specific IT platforms or programming languages relevant to your assignments is crucial. Excellent communication, problem-solving skills, and adaptability help you effectively interact with clients and deliver customized solutions. These skills and qualifications are essential for meeting client needs, driving project success, and maintaining a competitive edge in consulting.

What is the difference between Disys vs IT Recruiter?

AspectDisysIT Recruiter
Primary RoleStaffing and IT consulting services providerRecruiting IT professionals for clients
Work EnvironmentConsulting firm, staffing agencyCorporate HR or staffing agency
Required CredentialsTypically requires IT and staffing industry knowledge, certifications varyOften requires recruiting, HR, or related certifications
Industry UsageUsed by staffing firms like Disys for client staffingCommonly used by companies and staffing agencies

Disys is a staffing and IT consulting firm providing comprehensive staffing solutions, while an IT Recruiter focuses specifically on sourcing and hiring IT professionals. Disys operates as a service provider, whereas an IT Recruiter is often an internal or agency-based recruiter. Both roles require knowledge of the IT industry, but Disys's scope is broader, encompassing consulting and staffing services.

What are popular job titles related to Disys jobs in Florida? For Disys jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Disys jobs in Florida look for? The top searched job categories for Disys jobs in Florida are:
What cities in Florida are hiring for Disys jobs? Cities in Florida with the most Disys job openings:
Disys jobs near you
Infographic showing various Disys job openings in Florida as of July 2026, with employment types broken down into 38% Full Time, and 62% Contract. Highlights an 100% In-person job distribution, with an average salary of $31,398 per year, or $15.1 per hour.

Bigdata Engineer

Disys

Tampa, FL • On-site

$52.75 - $69.75/hr

Contractor

Re-posted 12 days ago

Job description

Job Description

Position Details:

Job Title: Bigdata Engineer

Location: Tampa, FL

Duration: 12+ Months Contract to hire

 

Job Responsibilities:

Principal Responsibilities

        Design interfaces to the data warehouses/data storages and machine learning/Big Data

        applications using open source tools such as Scala, Java, Python, Perl and shell scripting.

        Design and create data pipelines to maintain stable dataflow to the machine learning models -

        both in batch mode and near real-time mode.

        Interface with Engineering/Operations/System Admin/Data Scientist teams to ensure data

        pipelines and processes fit within the production framework.

        Ensure that tools and environments adhere to strict security protocols.

        Deploy the machine learning model and serve its outputs as RESTful API calls.

        Understand the business needs in close collaborations with subject matter experts (SMEs)

        and Data Scientists to do efficient feature engineering for machine learning models.

        Maintain the code and libraries in code repository.

        Work with system administration team to proactively resolve issues/install tools and libraries

        on the AWS platform.

        Research and come up with architecture and solutions most appropriate for problems at hand.

        Maintain and improve tools to assist Analytics in ETL, retrospective testing, efficiency,

        repeatability, and R&D.

        Lead by example regarding software best practices, including code style and architecture,

        documentation, source control, and testing.

        Support the Chief Data Scientist/Data Scientists/Big Data Engineers in creating new and novel

        approaches to solve challenging problems using Machine Learning, Big Data and Cloud

        technologies.

        Handle ADHOC requirements to create reports for the end users.

 

Required Skills

        Strong skills with Apache Spark (Spark SQL) and SCALA with at least 2+ years of experience.

        Understanding of AWS Big Data components and tools.

        Strong Java skills with experience in web services and web development is required.

        Hands on experience with model deployment.

        Hands on experience in application deployment on Docker and/or Kubernetes or other similar technology.

        Linux scripting is a plus.

        Fundamental understanding of AWS cloud components.

        2+ years of experience in data ingesting, cleansing/processing, storing and querying large datasets

        2+ years of experience in engineering large-scale data solutions with Java/Tomcat/ SQL/Linux

        Experience working in a data intensive role including the extraction of data (db/web/api/etc.), transformation and loading (ETL)

        Exposure with structured and/or unstructured data contents

        Experience with data cleansing/preparation on Hadoop/Apache Spark Ecosystem - MapReduce/Hive/HBase/Spark SQL

        Experience with distributed streaming tools like Apache KAFKA.

        Experience with multiple file formats (Parquet, Avro, OCR)

        Knowledge in AGILE development cycle.

        Efficient coding skills to enhance the performance/cost savings of the job running on AWS platform.

        Experience in building stable, scalable, and high-speed live streams of data and serving web platforms

        Enthusiastic self-starter with ability to work in a team environment.

        Graduate (MS) or Undergraduate degree in Computer Science/ Engineering/relevant field

 

Nice to have:

        Strong Software development experience

        Machine Learning model deployment experience

        Ability to write custom Map/Reduce programs to clean/prepare complex data

        Familiarity with Streaming data processing - Experience with distributed real time computation system like Apache STORM/Apache Spark Streaming.

Additional Information

All your information will be kept confidential according to EEO guidelines.

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