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Data Processor Jobs in Port St Lucie, FL (NOW HIRING)

Data Engineer

Jupiter, FL · Remote

$110K - $150K/yr

Design, build, and maintain scalable data pipelines and ETL processes * Develop and manage data warehouses, data lakes, and data infrastructure * Collaborate with data scientists, analysts, and ...

Data Entry Clerk

Vero Beach, FL · On-site

$15 - $20/hr

Data Entry Clerk SUMMARY/OBJECTIVE The objective of this role is to establish a high-accuracy data ... By managing the rapid processing of critical import documentation-such as packing lists ...

Data Entry Clerk

Vero Beach, FL · On-site

$15 - $20/hr

Data Entry Clerk SUMMARY/OBJECTIVE The objective of this role is to establish a high-accuracy data ... By managing the rapid processing of critical import documentation-such as packing lists ...

Lead Data Scientist

Stuart, FL · On-site

$144K - $198K/yr

We are driven to develop industry leading process innovations and manufacturing techniques on behalf of our customers. About the Opportunity: The lead data scientist will build data, analytics, and ...

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Data Processor information

See Port St Lucie, FL salary details

$12

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$34

How much do data processor jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for data processor in Port St. Lucie, FL is $20.27, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $22.36 per hour, depending on experience, location, and employer.

What is the difference between Data Processor vs Data Entry Clerk?

AspectData ProcessorData Entry Clerk
Required CredentialsHigh school diploma; some roles may require basic certificationsHigh school diploma; no specialized certifications typically needed
Work EnvironmentOffice settings, data centers, or remote workOffice environments, often in administrative settings
Employer & Industry UsageBusinesses, government agencies, financial institutionsCorporations, healthcare, retail, administrative offices
Common Search & ComparisonOften compared for data handling and processing tasksCompared for data input and administrative support roles

While both roles involve handling data, Data Processors typically perform more complex data management and validation tasks, often requiring some technical skills. Data Entry Clerks focus on inputting data accurately and efficiently. Understanding these differences helps in choosing the right role based on skills and career goals.

What are some common challenges faced by data processors and how can they be addressed?

Data Processors often encounter challenges such as managing large volumes of data accurately and efficiently, dealing with inconsistent or incomplete data, and ensuring data privacy and compliance. To address these, it's important to develop strong attention to detail, become proficient with data processing software, and stay updated on relevant data protection regulations. Collaborating closely with data analysts and IT teams can also help resolve data issues and improve workflow efficiency.

What is a data processor?

A data processor transfers, organizes, and processes personal data for a company. It is typically an entry-level job that serves as a starting point for a career as a data controller. As a data processor, your duties involve processing incoming documents, transferring analog documents into digital data, verifying the information in all documents, updating document formats, and creating detailed reports on company data use and management. Qualifications for this career include excellent computer skills and a bachelor’s degree in computer science or data management.

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

To thrive as a Data Processor, you need strong attention to detail, accuracy in data entry, and a high school diploma or equivalent. Familiarity with spreadsheet software (such as Microsoft Excel), database management systems, and sometimes data processing software is typically required. Excellent organizational skills, the ability to follow procedures, and effective time management make someone stand out in this role. These skills ensure data integrity, minimize errors, and support efficient information management within an organization.

How much does a data processor earn?

The average salary for a data processor in the United States ranges from $30,000 to $50,000 per year, depending on experience, location, and industry. Entry-level positions may start lower, while experienced data processors with specialized skills or certifications can earn higher wages. Salaries are often complemented by benefits such as health insurance and paid time off.

What do you do as a data processor?

A data processor collects, organizes, and manages data to ensure accuracy and accessibility. They often use software tools like spreadsheets or databases and may perform tasks such as data entry, validation, and updating to support business operations.

What cities near Port St. Lucie, FL are hiring for Data Processor jobs?

Cities near Port St. Lucie, FL with the most Data Processor job openings:

Infographic showing various Data Processor job openings in Port St. Lucie, FL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $42,152 per year, or $20.3 per hour.

Data Engineer

Bayswater Consulting Group

Jupiter, FL • Remote

$110K - $150K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Data Engineer

About the Role

We are working with a client seeking a skilled Data Engineer for a full-time, direct hire opportunity. This is a fully remote position open to candidates across the United States.

Responsibilities

  • Design, build, and maintain scalable data pipelines and ETL processes
  • Develop and manage data warehouses, data lakes, and data infrastructure
  • Collaborate with data scientists, analysts, and business stakeholders to understand and support data needs
  • Ensure data quality, integrity, and availability across all pipelines and systems
  • Optimize data workflows for performance, reliability, and cost efficiency
  • Implement data governance and security best practices
  • Monitor and troubleshoot data pipeline failures and performance issues
  • Document data architecture, pipelines, and processes thoroughly

Requirements

  • 3+ years of experience in a data engineering role
  • Proficiency with Python or Scala for data pipeline development
  • Strong experience with SQL and relational databases
  • Hands-on experience with data pipeline tools such as Apache Spark, Airflow, Kafka, or similar
  • Experience with cloud data platforms — AWS Redshift, Azure Synapse, Google BigQuery, or Snowflake
  • Familiarity with data modeling concepts and best practices
  • Strong problem-solving skills and attention to detail
  • Excellent communication and documentation habits

Nice to Have

  • Experience with dbt for data transformation
  • Familiarity with real-time streaming data pipelines
  • Knowledge of data governance frameworks and data catalog tools
  • Experience with machine learning pipelines and MLOps
  • Cloud certifications relevant to data — AWS Data Analytics, Azure Data Engineer, or GCP Professional Data Engineer

Compensation

$110,000 — $150,000 base salary depending on experience. Full benefits package available.

Location

Fully remote — United States.