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Remote Data Cleansing Jobs in Florida (NOW HIRING)

L3HHCM20

Lead, Data Engineer

Tallahassee, FL · Remote

$127K - $236K/yr

Melbourne, FL or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... data cleansing, orchestrating data pipelines, and ensuring data consolidation. The selected ...

L3HHCM20

$127K - $236K/yr

Melbourne, FL or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... data cleansing, orchestrating data pipelines, and ensuring data consolidation. The selected ...

L3HHCM20

Lead, Data Engineer

Melbourne, FL · Remote

$127K - $236K/yr

Melbourne, FL or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... data cleansing, orchestrating data pipelines, and ensuring data consolidation. The selected ...

All JobsData Cleansing JobsRemote Data Cleansing JobsRemote Data Cleansing Jobs in Florida

Remote Data Cleansing information

What is remote data cleansing?

Remote data cleansing is the process of identifying and correcting errors or inconsistencies in data sets while working from a location outside of a traditional office environment. This task involves removing duplicate records, fixing formatting issues, and ensuring data accuracy so that businesses can make reliable decisions based on their information. Remote data cleansing professionals use specialized tools and software to access, review, and modify large volumes of data securely. The remote aspect allows for greater flexibility and access to global talent, making it a popular choice for companies with large or complex data needs.

What are some common challenges faced by remote data cleansing professionals, and how can they be addressed?

Remote data cleansing professionals often encounter challenges such as inconsistent data formats, incomplete information, and communication barriers with team members due to working remotely. To address these issues, it's important to establish clear data quality standards and use specialized cleansing tools to automate repetitive tasks. Regular check-ins with the team and detailed documentation help ensure consistency and facilitate collaboration. Staying organized and maintaining open communication channels can also significantly improve workflow and data accuracy.

What are the key skills and qualifications needed to thrive as a Remote Data Cleansing Specialist, and why are they important?

To thrive as a Remote Data Cleansing Specialist, you need strong analytical skills, attention to detail, and familiarity with data management principles, typically supported by a background in information technology or data science. Proficiency with data cleansing tools like OpenRefine, Microsoft Excel, SQL databases, and sometimes CRM or ERP systems is commonly required. Excellent organizational skills, problem-solving abilities, and effective communication are critical soft skills for this role. These competencies ensure accurate, consistent, and reliable data, which is essential for effective business decision-making and operational efficiency.

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

AspectRemote Data CleansingRemote Data Entry
Primary FocusCleaning, validating, and improving data qualityInputting and updating data into systems
Skills RequiredData analysis, attention to detail, familiarity with data toolsTyping speed, accuracy, basic computer skills
Work EnvironmentData management platforms, spreadsheetsDatabases, spreadsheets, data entry software
Common EmployersData services companies, corporationsAdministrative, retail, healthcare sectors

Remote Data Cleansing involves refining and validating data to ensure accuracy, while Remote Data Entry focuses on inputting and updating data into systems. Both roles require attention to detail but differ in skills and tasks, with data cleansing emphasizing data quality and data entry emphasizing data input.

What are popular job titles related to Remote Data Cleansing jobs in Florida? For Remote Data Cleansing jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Data Cleansing jobs in Florida look for? The top searched job categories for Remote Data Cleansing jobs in Florida are:
What cities in Florida are hiring for Remote Data Cleansing jobs? Cities in Florida with the most Remote Data Cleansing job openings:
Remote Data Cleansing jobs near you

Lead, Data Engineer

L3HHCM20

Tallahassee, FL • Remote

$127K - $236K/yr

Other

Medical, Retirement, PTO

Posted 16 days ago

Job description

Job Title: Lead, Data Engineer 

Job Code: 41065

Job Location: Melbourne, FL or Remote Opportunity

Job Schedule: 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 9 years prior Palantir experience or Graduate Degree and a minimum of 7 years of prior Palantir experience In lieu of degree, minimum 13 years of prior Palantir experience.
  • Minimum of 4 years of experience with Data Pipeline development or ETL tools such as Palantir Foundry, Azure Data Factory, SSIS, or Python.
  • Minimum of 4 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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