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Remote Data Cleaning Jobs in Florida (NOW HIRING)

Lead, Data Engineer

Melbourne, FL ยท Remote

$127K - $236K/yr

Melbourne, FL or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... with clean, reliable data. Essential Functions: * Provide architectural oversight for the company ...

$127K - $236K/yr

Melbourne, FL or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... with clean, reliable data. Essential Functions: * Provide architectural oversight for the company ...

Lead, Data Engineer

Tallahassee, FL ยท Remote

$127K - $236K/yr

Melbourne, FL or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... with clean, reliable data. Essential Functions: * Provide architectural oversight for the company ...

Sr. Data Engineer

Saint Petersburg, FL ยท Remote

$100K - $136K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... data clean rooms, marketplace, and Snowpark. * Strong proficiency in SQL, Python, and JavaScript ...

$153K - $284K/yr

Melbourne, FL; or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... with clean, reliable data. Essential Functions: * Provide architectural oversight for the company ...

Principal, Data Engineer

Tallahassee, FL ยท On-site +1

$153K - $284K/yr

Melbourne, FL; or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... with clean, reliable data. Essential Functions: * Provide architectural oversight for the company ...

Principal, Data Engineer

Melbourne, FL ยท On-site +1

$153K - $284K/yr

Melbourne, FL; or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... with clean, reliable data. Essential Functions: * Provide architectural oversight for the company ...

MANAGER-DATA SCIENTIST - OPHTHALMOLOGY

Tampa, FL ยท On-site +1

$126K - $205K/yr

... clean and organize the data in a format to facilitate analysis of the data. They will also assist ... NO OPTION FOR HYBRID OR REMOTE. Doctorate degree in a related field and seven (7) years of related ...

Data Engineer, Mid

Tampa, FL ยท On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0245461 Location: Tampa,FL,US Share job via: Share Data Engineer, Mid ... clean, and learn from data. In this role, you'll own and define the direction of mission-critical ...

... clean energy technologies; we're architecting a better future. Our team is boldly redefining power ... Monitor plant operating data and alarms to identify issues proactively. * Lead troubleshooting and ...

Data Engineer, Senior

Tampa, FL ยท On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0245470 Location: Tampa,FL,US Share job via: Share Data Engineer ... clean, and learn from data. In this role, you'll own and define the direction of mission-critical ...

Senior Engineer, Remote Commissioning

Lake Mary, FL ยท On-site +1

$91K - $125K/yr

... clean energy technologies; we're architecting a better future. Our team is boldly redefining power ... Perform advanced diagnostics and analysis of DCS, historian, and monitoring system data across gas ...

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Remote Data Cleaning information

What is the difference between Remote Data Cleaning vs Remote Data Entry?

AspectRemote Data CleaningRemote Data Entry
Primary FocusIdentifying and correcting errors in datasets, improving data qualityInputting and updating data into systems accurately
Skills RequiredData analysis, attention to detail, familiarity with data toolsTyping speed, accuracy, basic computer skills
Work EnvironmentData analysis platforms, spreadsheets, specialized cleaning toolsData management software, spreadsheets, databases
CertificationsData analysis, Excel, database managementBasic computer skills, typing certifications

Remote Data Cleaning involves reviewing and correcting datasets to ensure accuracy, often requiring analytical skills. Remote Data Entry focuses on accurately inputting data into systems. While both roles require attention to detail, data cleaning emphasizes quality control, whereas data entry emphasizes speed and accuracy in data input.

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

To thrive as a Remote Data Cleaning Specialist, you need strong analytical skills, attention to detail, and experience with data management, often supported by a degree in a quantitative field. Proficiency with tools such as Microsoft Excel, SQL, Python (pandas), and data visualization platforms is commonly required. Excellent problem-solving abilities, time management, and clear communication help you collaborate effectively and maintain data integrity. These skills ensure that datasets are accurate, reliable, and ready for analysis, which is crucial for informed business decision-making.

What is remote data cleaning?

Remote data cleaning is the process of identifying, correcting, or removing inaccurate, incomplete, or irrelevant data from datasets, all performed from a remote location rather than on-site. Professionals use specialized software and scripts to clean and organize data, ensuring its quality and consistency before analysis or use in business processes. This role is essential for organizations that rely on accurate data for decision-making and often involves tasks such as deduplication, error correction, and formatting standardization.

What are some common challenges faced when working remotely as a data cleaning specialist, and how can they be addressed?

Remote data cleaning specialists often encounter challenges such as inconsistent data formats, limited access to original data sources, and communication gaps with team members. To address these, it's important to establish clear data standards, use collaborative tools for real-time updates, and schedule regular check-ins with stakeholders. Staying organized and documenting data cleaning processes also helps maintain quality and ensures team alignment, even when working from different locations.
What are the most commonly searched types of Data Cleaning jobs in Florida? The most popular types of Data Cleaning jobs in Florida are:
What cities in Florida are hiring for Remote Data Cleaning jobs? Cities in Florida with the most Remote Data Cleaning job openings:
Infographic showing various Remote Data Cleaning job openings in Florida as of August 2026, with employment types broken down into 81% Full Time, and 19% Part Time. Highlights an 100% Remote job distribution.

Lead, Data Engineer

L3HHCM20

Melbourne, FL โ€ข Remote

$127K - $236K/yr

Full-time

Medical, Retirement, PTO

Posted 24 days ago


Job description

Job Title:ย Lead, Data Engineerย 

Job Code:ย 41065

Job Location:ย Melbourne, FL or Remote Opportunity

Job Schedule:ย 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off

Job Description:

L3Harris Enterprise Data and AI team is seeking a Data Engineer with experience in managing enterprise-level data life cycle processes. This role includes overseeing data ETL/ELT pipelines, ensuring adherence to data standards, maintaining data frameworks, conducting data cleansing, orchestrating data pipelines, and ensuring data consolidation. The selected individual will play a pivotal role in maintaining ontologies, building scalable data solutions, and developing dashboards to provide actionable insights for the enterprise within Palantir Foundry. This position will support the company's modern data platform, Unified Data Layer, focusing on data pipeline development and maintenance, data platform design, documentation, and user training. The goal is to ensure seamless access to data for all levels of the organization, empowering decision-makers with clean, reliable data.

Essential Functions:

  • Provide architectural oversight for the company's data platform and related initiatives, ensuring alignment with company standards and best practices
  • Assist development initiatives with design reviews, offering guidance on architecture and data modeling
  • Lead design reviews for proposed solutions, including data sourcing, data pipelines, data models, and ontology resources, providing actionable feedback to enhance design scalability
  • Assist and develop architectural artifacts, perform requirements decomposition, and develop other documentation to support the software development lifecycle (SDLC)
  • Support the SDLC process by participating in data architecture review sessions, reviewing proposed solutions for compliance with architectural standards
  • Oversee and provide guidance for data pipelines, ensuring scalability, reusability, and performance
  • Utilize Palantir Foundry to perform data integration and ontology management to support big data analytics at scale
  • Collaborate with cross-functional teams to define data governance, metadata, and ontology standards, ensuring consistency and clarity across the data platform and enterprise
  • Remain current with emerging data technologies and frameworks to recommend improvements to the data platform architecture

Qualifications:

  • Bachelor's Degree and minimum 9ย years prior Palantir experience orย Graduate Degree and a minimum of 7ย years of prior Palantir experienceย In lieu of degree, minimum 13ย years of prior Palantir experience.
  • Minimum of 4ย years of experience with Data Pipeline development or ETL tools such as Palantir Foundry, Azure Data Factory, SSIS, or Python.
  • Minimum of 4ย years of experience in Data Integration.

Preferred Additional Skills:

  • Experience supporting or implementing solutions that leverage Generative AI capabilities, including Retrieval-Augmented Generation (RAG), semantic search, and LLM integration
  • Experience with Palantir Foundry tools such as Ontology Manager, Compass, Code Repository, Solution Designer, OSDK, AI FDE, and AIP Analyst
  • Understanding of BI (Business Intelligence) & DW (Data Warehouse) development methodologies
  • Experience with Python, Pandas, Databricks, JavaScript, Typescript or other scripting languages
  • Experience with AI tools such as OpenAI, Palantir AIP, Snowflake Cortex, or similar
  • Hands on Experience with design, development of Data Pipelines in Palantir Foundry Pipeline Builder or Code Repository, or similar technologies leveraging PySpark and Spark SQL
  • Familiarity with SDLC processes and architecture review or data governance board processes

In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $127,000-$236,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont is $110,500-$205,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

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