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Data Processing Jobs in Brandon, FL (NOW HIRING)

Data Architect - Senior

Tampa, FL · On-site +1

$63.50 - $85/hr

Experience with Python data frameworks for data processing, transformation, and automation * Experience in assisting with establishing and enforcing data governance practices, data quality frameworks ...

Senior Big Data Developer

Tampa, FL · On-site

$114 - $171/hr

Your work will directly shape how Citi processes and operationalizes data at scale -- driving measurable impact across products, platforms, and business outcomes. Ke y Responsibilities- * Design and ...

Data Architect - Senior

Tampa, FL · On-site

$63.50 - $85/hr

Experience with Python data frameworks for data processing, transformation, and automation * Experience in assisting with establishing and enforcing data governance practices, data quality frameworks ...

Data Architect - Senior

Tampa, FL · On-site

$87 - $198/hr

... process, and driving issues to resolution within defined service levels. Support new client intake by engaging with prospective and new customers to understand their data environment, coordinating ...

Senior Big Data Developer

Tampa, FL · On-site

$113K - $170K/yr

Your work will directly shape how Citi processes and operationalizes data at scale -- driving measurable impact across products, platforms, and business outcomes. Ke y Responsibilities- * Design and ...

Data Platform Engineer

Tampa, FL · On-site +1

$108K - $129K/yr

You'll own end-to-end data pipelines and API services that ingest, process, and expose high-quality data to internal customers (data science, analytics, product, and other engineering teams) and ...

Data Platform Engineer

Tampa, FL · Remote

$117K - $140K/yr

You'll own end-to-end data pipelines and API services that ingest, process, and expose high-quality data to internal customers (data science, analytics, product, and other engineering teams) and ...

Develop, deploy, and maintain real-time data streaming solutions to process and deliver data with low latency (using tools like Apache Kafka, Flink, or Spark Streaming). Optimize and automate data ...

Data Engineer - PySpark

Tampa, FL · On-site

$60K - $135K/yr

Irving, TX (3 Days onsite/week) Strong programming skills in PySpark in a BigData environment with exceptional hands-on capabilities Familiarity with big data processing tools and techniques.

Data Engineer - Senior Manager

Tampa, FL · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Data Scientist Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance ... Strong understanding of SOF operational processes and mission-essential priorities. * Proven track ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

... data processing - Utilizing machine learning and deep learning techniques to drive innovation and improve data-driven strategies - Collaborating with stakeholders to identify opportunities for ...

Showing results 41-60

Data Processing information

See Brandon, FL salary details

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How much do data processing jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for data processing in Brandon, FL is $17.61, according to ZipRecruiter salary data. Most workers in this role earn between $13.99 and $19.42 per hour, depending on experience, location, and employer.

What is data processing?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

What are the typical daily responsibilities of someone working in data processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

What are the key skills and qualifications needed to thrive in data processing, and why are they important?

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What do you do as a data processing?

A data processing professional collects, organizes, and analyzes data to ensure accuracy and usability. They use tools like spreadsheets, databases, and data management software to clean, transform, and prepare data for reporting or decision-making. Attention to detail and knowledge of data handling techniques are essential in this role.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

What are the most commonly searched types of Data Processing jobs in Brandon, FL?

The most popular types of Data Processing jobs in Brandon, FL are:

What are popular job titles related to Data Processing jobs in Brandon, FL?

For Data Processing jobs in Brandon, FL, the most frequently searched job titles are:

What job categories do people searching Data Processing jobs in Brandon, FL look for?

The top searched job categories for Data Processing jobs in Brandon, FL are:

What cities near Brandon, FL are hiring for Data Processing jobs?

Cities near Brandon, FL with the most Data Processing job openings:

Infographic showing various Data Processing job openings in Brandon, FL as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $36,628 per year, or $17.6 per hour.

Data Architect - Senior

Booz Allen Hamilton, Inc.

Tampa, FL • On-site, Remote

$63.50 - $85/hr

Full-time

Medical, Life, Retirement, PTO

Posted 5 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

10th of 72 rated business consultants


Job description


Remote Work:
No
Job Number:
R0247168
Location:
Tampa,FL,US
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Data Architect - Senior
The Opportunity:
As organizations increasingly depend on cloud platforms, analytics, and AI/ML to drive mission outcomes, the integrity of the data foundation underneath them has never mattered more. We are looking for a Data Architect to own the design, governance, and continued evolution of the enterprise data architecture that powers analytics, reporting, and operational insight across our organization and for our DoW clients.
As a Data Architect, you'll be the go-to expert for data modeling, governance, and architecture across stakeholders, making sure every data asset we build is well-modeled, documented, discoverable, and trustworthy. You set the standards, and you help the team hold to them from design through deployment.
This is a hands-on technical role. Our architecture, pipelines, and tooling are built on modern Python frameworks. You'll be designing schemas, optimizing queries, and making data modeling decisions that the rest of the team builds on every day.
The role also carries meaningful project leadership and client-facing responsibility. You'll lead client data maturity assessments from start to finish, scoping the engagement against the statement of work, evaluating client data systems, modeling their current-state architecture, and delivering actionable recommendations and roadmaps on schedule. You'll work in a fast-paced, agile environment where deliverables are requirements-driven and schedule-bound, partnering closely with team leads, engineers, analysts, and stakeholders to maintain high quality and timeliness of deliverables.
What You'll Work On:
  • Own the enterprise data model, ensuring all production data assets are properly modeled, documented, and governed, with complete schemas and lineage.
  • Design and enforce data governance standards, including assisting with naming conventions, quality controls, access policies, and metadata management, and hold the deployment gate so new assets meet standards before reaching production.
  • Define and maintain the data catalog so every team knows what data exists, where it lives, and how to use it.
  • Lead data quality monitoring, including owning the rules, thresholds, and remediation process, and driving issues to resolution within defined service levels.
  • Support new client intake by engaging with prospective and new customers to understand their data environment, coordinating with squad leads and analysts on what's feasible, and applying critical thinking to model and design data solutions tailored to each customer's needs.
  • Lead client-facing data maturity assessments end to end, including plan and manage the engagement timeline, evaluate client data systems, score maturity, and deliver recommendations and actionable roadmaps.
  • Communicate clearly in both directions, including presenting architecture findings and recommendations to clients, and coordinating across the team so engineers and analysts have what they need to execute.
  • Support cross-functional mission teams by validating data model decisions, reviewing architecture choices, and ensuring governance compliance.
  • Design and build data solutions using Python and SQL.
  • Evaluate and recommend data tools, storage strategies, and architectural patterns as the team scales, delivering recommendations with cost or benefit analysis.

Join us. The world can't wait.
You Have:
  • 5+ years of experience in data architecture, data engineering, or analytics engineering, including ownership of enterprise or program-level data models
  • Experience with SQL, including data modeling, such as dimensional modeling, normalization, or schema design, query optimization, and working with relational databases and cloud data platforms
  • Experience with Python data frameworks for data processing, transformation, and automation
  • Experience in assisting with establishing and enforcing data governance practices, data quality frameworks, metadata management, data cataloging, lineage, and access policies
  • Experience with project management, including planning and delivering schedule-bound technical engagements or assessments against a statement of work or charter
  • Ability to use critical thinking and solution-design to take an unfamiliar customer data environment, model it, and shape a practical architecture and roadmap
  • Ability to obtain a Top Secret clearance
  • Bachelor's degree

Nice If You Have:
  • Experience designing and governing data architectures in AWS-based environments
  • Experience with AWS data services such as S3, Glue, Redshift, Athena, or Lake Formation
  • Experience with ETL and ELT processes and modern data pipeline architectures
  • Experience conducting data maturity, readiness, or current-state architecture assessments for external clients
  • Experience with data governance and catalog tooling, including data catalogs, lineage tools, or metadata management platforms
  • Experience mentoring engineers or analysts on data modeling and governance practices
  • Knowledge of AI and ML workflows, and the data architecture patterns that support them
  • Possession of strong client-facing communication skills, to engage new customers, present findings and recommendations to senior technical and non-technical stakeholders, and coordinate across internal teams
  • Top Secret clearance

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914