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Arc helps you find and hire top freelance Data Cleaning engineers for your jobs. With 5,498 Data Cleaning programmers available for hire on a freelance basis, we have one of the largest network of vetted talent. Our Silicon Valley-caliber vetting process helps ensure that you hire freelance Data Cleaning developers and experts that you can trust.

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Marcel P., freelance Data Cleaning programmer
Marcel P.

Freelance Data Cleaning developer in Brazil

Please, visit my Linkedin for more details: [https://www.linkedin.com/in/marcel-pallete-81166b2b/](https://www.linkedin.com/in/marcel-pallete-81166b2b/) Experienced tech consultant, currently working as Data Tech Lead at Ernst & Young Brazil, focused in: \- SQL, Python, PySpark and Scala Languages \- Data Engineering \- Data Architecture \- ETL pipelines (By code or by ETL Tools like Pentaho, Alteryx, SSIS) \- Big Data (Spark, HDFS, Hive, NiFi, Kafka) \- Tuning and performance \- Azure Cloud (Data Factory, Databricks, Synapse Analytics, SQL DB, Data Lake Gen 2, Stream Analytics) \- Terraform and IaC for Azure Cloud \- Databases (SQL Server, PostgreSQL, Teradata, IBM DB2, MySQL) \- Data Modeling (Erwin, DW, DLH, OLAP/OLTP) \- Business Intelligence and DataViz (Power BI Expert level (M, DAX, DAX Studio, Tabular Editor), Tableau, Looker/Data Studio, Looker and LookML, Qliksense and Qlikview) \- Microsoft Fabric complete solution \- Microsoft Solutions (Power Platform, Power Automate, Sharepoint, Power Apps, Dataverse, Sharepoint)

Data Engineering • 5 yrsBig Data • 3 yrsData Visualization • 7 yrsData warehouse • 5 yrsData modeling • 5 yrsData Pipelines • 5 yrsData MiningData analysisData MigrationData structureData processingData ManagementData analyticsData CleansingData CleaningData IntegrationGoogle Data StudioData LakeData IngestionData architectureBig Data SQLPentaho Data IntegrationData QualityData manipulationData wranglingData ValidationBig Data EngineeringAzure Data FactoryData governanceBig data technologiesData Warehouse TestingBig Data ArchitectureAzure Data EngineerVisual Data AnalyticsAzure Data LakeData pipeline designData Version Control<em>Data</em> Science developerData ScienceEnglish • 10 yrsPerformance Optimization • 5 yrsETL • 5 yrsAzure • 3 yrsPython developerPythonSQL developerSQLScala developerScalaMySQL developerMySQLGit developerGitMongoDB developerMongoDBDatabase developerDatabasePostgreSQL developerPostgreSQLSharePointNumPyGitHubAmazon S3Google AnalyticsPandasWeb ScrapingCloud developerCloudQuery OptimizationSASIntegrationGitLab developerGitLabFabricAzure Queue StorageGoogle BigQueryDatabase NormalizationDocker developerDockerPython 3TeradataPipelinesScrumLeadershipKanbanOLAPTableauSQL QueriesDatabase TuningIBM DB2Apache SparkMicrosoft SQL ServerAmazon RedshiftApache KafkaSQL TuningAzure SQLPower QueryLive StreamingHiveQLPentahoStar SchemaQlik SenseJupyterTerraformApache Hadoop developerApache HadoopAzure Machine LearningInfrastructure as CodeDAXAzure Service fabricUX/UI DesignCloud ArchitecturePower BIAgileSQL DatabasesLookerSnowflakeAirflowAlteryxApache AirflowAzure SQL DatabaseDataflowAzure table storageDatabricksJupyterLabApache NiFiMicrosoft Power AppsAzure Blob StorageAzure SQL ServerSQL Performance TuningMicrosoft service fabricDBTAzure ConsultantMicrosoft Power AutomateDelta LakeDataverseAzure synapse analyticsAzure synapseDelta TablesUX designAzure IoT EdgeJSON developerJSONExcelMachine learning developerMachine learningNoSQLAnalyticsWeb analyticsWireframing/prototypingUX ReviewUI designAnalysisMathematicsRequirements GatheringTechnical WritingNoSQL DatabaseProblem-solvingApache HiveMicrosoft Power PlatformQAStatisticsStrategy
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Azganush P., Data Cleaning freelance programmer
Azganush P.

Freelance Data Cleaning developer in Armenia

I'm a data professional with 4 years of experience in Data Science and Analytics. My skills cover statistics, data analysis, visualization, machine learning, and proficiency in Python, SQL, PySpark, BI tools, and dbt. I've built accurate churn prediction models and boosted user engagement through A/B testing. I hold a Micromasters in Statistics and Data Science from MITx and a Bachelor's degree in Economics.

Matey C., freelance Data Cleaning developer
Matey C.

Freelance Data Cleaning developer in Ghana

I have been awarded a certificate of completion for the Basic Data Analyst with Excel course on Alison. This comprehensive training program provided me with a solid foundation in utilizing Microsoft Excel for data analysis purposes.

Natan A., freelance Data Cleaning developer
Natan A.

Freelance Data Cleaning developer in Brazil

### About Myself Data Analyst with 5 years of extensive experience in data collection, processing, analysis, and visualization. Proficient in monitoring data systems and optimizing processes, using statistics techniques for improved accuracy and efficiency. Guided by the pillars of honesty and the relentless pursuit of improvement. Committed to continuous growth and high performance in every area of life. Dedicated and fervent learner on the lifetime quest of polymathy. Deeply inspired by challenges that push my limits. ### Technologies * Python | Pandas | Matplotlib * SQL | MySQL | PostgreSQL | DataGrip * Google BigQuery | Amazon Redshift | Azure Synapse | Snowflake * Power BI | Tableau | Looker | Amplitude | Mixpanel | Figma * Microsoft Excel | Google Sheets | DAX * Pivot Tables | Pivot Charts | Power Query * JIRA | Confluence

Lyes O., Data Cleaning developer for hire
Lyes O.

Freelance Data Cleaning developer in Algeria

Data scientist with 4 years experience with one of the leading AI consulting firms in the province of Quebec, Canada (top 4 in Quebec). We provide AI and Data Science services to a large range of industries, from the start of the project to deployment in the hands of the client.

Farouk S., freelance Data Cleaning programmer
Farouk S.

Freelance Data Cleaning developer in Egypt

Hello! I am a highly skilled data analyst with a passion for turning data into insights and actionable solutions. With a strong background in data analysis, statistical modeling, and data visualization, I have the expertise to tackle complex problems and deliver meaningful insights to drive business growth. My skills include using tools such as R, Python ,SAS, SQL, PowerBi and Tableau to manipulate and analyze large data sets, as well as presenting findings in a clear and compelling manner. I am a self-starter and enjoy working independently, but I am also a strong team player and thrive in a collaborative environment. I am constantly seeking new challenges and opportunities to grow my skills and deliver value to clients. If you're looking for a data analyst who is dedicated, knowledgeable, and always eager to learn and grow, I would be a great fit for you.

Abhijeet C., Data Cleaning freelance programmer
Abhijeet C.

Data Cleaning developer in Canada

I hold a Master's in Computer Science with a GPA of 3.94/4, skilled in software engineering, machine learning, and data mining. Experience includes optimizing models, system development, and data analysis.

Linah A., freelance Data Cleaning developer
Linah A.

Freelance Data Cleaning developer in Ethiopia

High-performing professional with 6 years of experience delivering high-impact work in Data Science/Data analysis/Business intelligence development, Software development/Graphic Design/Digital Marketing, Sales, Proposal engineering, and Teaching Assisting. Skilled in developing and managing key relationships to facilitate cross-functional collaboration and deliver exceptional results. Thrives in fast-paced settings, leveraging strong data analysis and teamwork to deliver exceptional results and contribute to team success. Committed to lifelong learning and going the extra mile to facilitate continuous improvement.

Sella O., freelance Data Cleaning developer
Sella O.

Freelance Data Cleaning developer in Indonesia

Skilled in data analyst / BI, systems analyst with 5± years experience providing data analyst, data warehouse, Oracle ERP development and functional support. Reduced operating costs by 19% + 20% reducing workload with digitization. Experienced in interpreting and analyzing data to drive growth in FMCG, pharmacy/healthcare, using Microsoft Dataflow, SSAS (OLAP), SSIS and SQL dev, at PT.Bernofarm, PT. Mikatasa Agung, PT. Trias Sentosa, Tbk and Tianjin Sunshine Plastics, Co. Ltd

Miguel B., freelance Data Cleaning programmer
Miguel B.

Data Cleaning developer in Portugal

Worked for 7+ years as an Economist and Financial Advisor. I completed a Data Science course in 2019 and then worked 4 years as a Data Scientist. Exposure to Python and SQL for data analysis and the data science workflow, from data wrangling and exploratory data analysis to applying statistical concepts and machine learning tools.

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Why choose Arc to hire freelance Data Cleaning developers

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FAQs

Why hire a Data Cleaning developer?

In today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.

Depending on the stage and scale of your product and services, you may need to hire a Data Cleaning developer, multiple developers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Data Cleaning developers can help keep your website up-to-date.

How do I hire Data Cleaning developers?

To hire a Data Cleaning developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.

Arc offers three services to help you hire Data Cleaning developers effectively and efficiently. Hire full-time Data Cleaning developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance Data Cleaning engineers in 72 hours, with weekly payments.

If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 350,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Data Cleaning developers.

Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right Data Cleaning developer for your company, and let Arc handle the logistics.

Where do I hire the best remote Data Cleaning developers?

There are two types of platforms you can hire Data Cleaning programmers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Data Cleaning developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.

If you’re looking to hire the best remote Data Cleaning developers, consider niche platforms like Arc that naturally attract and carefully vet their Data Cleaning developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Data Cleaning developer candidates.

Some factors to consider when you hire Data Cleaning developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.

Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find Data Cleaning developers for hire.

How do I write a Data Cleaning developer job description?

Writing a good Data Cleaning developer job description is crucial in helping you hire Data Cleaning programmers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.

Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.

Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Data Cleaning developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.

For a comprehensive guide on how to write an attractive job description to help you hire Data Cleaning programmers, read our Software Engineer Job Description Guide & Templates.

What skills should I look for in a Data Cleaning engineer?

The top five technical skills Data Cleaning developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of software testing and debugging.

Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Data Cleaning developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for Data Cleaning developers to keep up with evolving technology and requirements.

What kinds of Data Cleaning programmers are available for hire through Arc?

You can find a variety of Data Cleaning developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Data Cleaning programmers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Data Cleaning developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.

In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled software engineers in various different time zones and countries for you to choose from.

Lastly, our remote-ready Data Cleaning developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.

Why is Arc the best choice for hiring Data Cleaning developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Data Cleaning developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Data Cleaning developers.

Every Data Cleaning developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills (both for depth in Data Cleaning and breadth across the greater domain). Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.

Not only can you expect to find the most qualified Data Cleaning engineer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.

How does Arc vet a developer’s Data Cleaning skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Data Cleaning developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.

While Arc has a strict vetting process for its verified Data Cleaning developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire Data Cleaning developers, you can rest assured that all remote Data Cleaning developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.

How long does it take to find Data Cleaning developers on Arc?

Arc pre-screens all of our remote Data Cleaning developers before we present them to you. As such, all the remote Data Cleaning developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 350,000 candidates. You can also expect to hire a freelance Data Cleaning programmer in 72 hours, or find a full-time Data Cleaning programmer that fits your company’s needs in 14 days.

Here’s a quote from Philip, the Director of Engineering at Chegg:

“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”

Find out more about how Arc successfully helped our partners in hiring remote Data Cleaning developers.

How much does a freelance Data Cleaning developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Data Cleaning developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Data Cleaning developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.

When you hire Data Cleaning developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.

How much does it cost to hire a full time Data Cleaning developer?

According to the U.S. Bureau of Labor Statistics, the medium annual wage for software developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.

Your remote Data Cleaning developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.

For more frequently asked questions on hiring Data Cleaning developers, check out our FAQs page.

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