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Top remote Data Quality developers and experts available to hire:

Remote Data Quality coder - Krishnan S.
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Krishnan S.

Vetted Data Quality developer in the United States (UTC-4)

- Strong knowledge of IT systems, with over 18 years of experience implementing strategic / mission critical programs and solutions - Strong Systems Integration, Application Development, Master Data Management, Data Warehousing and Analytics, ETL, EDI and EAI experience - Strong IT architecture, data modelling, data management and governance, IT Infrastructure knowledge - Strong project and program management experience - Strong knowledge of various AWS services and snowflake cloud database - Strong pre-sales and consulting experience in the data integration space with Informatica - Experience setting up Integration Centers of Excellence ground up - Great coach, willing mentor and a leader that cultivates high performance work environments - Strong knowledge and experience of SDLC including Waterfall, Agile and Kanban models - Architected solution implementations and solution patterns in healthcare, CRM and financial domains - Knowledge of back office core banking systems and related functional areas - Tools and Languages: Informatica PowerCenter 9.5, B2B DT/DX 9.5, IICS, Snaplogic, PySpark, MDM, MS DTS, SQL, Python, Java, JSP, JavaScript, C, Visual Basic, MS Office, Erwin, Tableau, Cognos - Databases: RDS, Snowflake, Redshift, NoSQL, Oracle 10/11, SQL Server 2008, MS Access 2003, DB2 8.1 - AWS Services: Glue, Step Functions, Lambdas, RDS, Data Pipeline, Batch, SQS, SNS, Athena

Remote Data Quality expert - Sudeep P.
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Sudeep P.

Vetted Data Quality developer in the United States (UTC-5)

Tibco Spotfire Engineer covering (i) Spotfire Report Development Keywords: #SQL, #HTML, #CSS, #JavaScript, #IronPython, #R(TERR), #Python (Python Data Functions) (ii) Spotfire Administration Tasks Keywords: #installation/upgrade #routing #server-monitoring #resource-pools #usage-monitoring #automation-services #scheduled-updates #license/user-management #cpu/network/RAM-monitoring #data-security #performance-management #action-logs (iii) Clinical Trials Spotfire Analysis Keywords: #SAS #R #R-shiny #patient-profiling #EDC(Rave/iMedidata) #Eluminate #Oracle-Clinical (iv) Relational Database Tasks Keywords: #SQL #relational/dimensional-modeling #informatica #large-datasets (Hadoop/HIVE/Spark) #transactional-sql (PL-SQL/T-SQL) (v) Custom Spotfire Application development Keywords: #JSViz #PythonDataFunctions #R(TERR) #JavaScript/HTML/CSS #IronPython #JavaScript-Mashup-api #Java-based-spotfireserver-api #statistics #spotfire-mods

Remote Data Quality programmer - Enri M.
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Enri M.

Vetted Data Quality developer in Germany (UTC+2)

With a diverse professional background spanning software development, IT architecture, logistics, and project management, I bring a unique blend of technical expertise and business acumen to empower organizations in achieving their goals. My experience working across industries has equipped me with the ability to identify challenges, streamline processes, and deliver tailored solutions. Leveraging tools such as **Power BI**, **Power Automate**, **Power Apps**, and **ETL technologies**, I specialize in transforming raw data into actionable insights, automating workflows, and creating bespoke applications that meet specific business needs. I am passionate about enabling businesses to thrive by optimizing their operations, enhancing decision-making processes, and driving digital transformation. My technical proficiency in programming languages such as **Node.js**, **Angular**, and **Java**, combined with my expertise in data integration and visualization, allows me to deliver innovative, end-to-end solutions. Whether it's developing custom applications, automating repetitive tasks, or uncovering hidden opportunities through data, I am committed to empowering businesses with the tools and technologies they need to succeed. Let’s work together to unlock the full potential of your business by harnessing the power of modern, cutting-edge technology.

Remote Data Quality coder - Alex M.
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Alex M.

Vetted Data Quality developer in Lithuania (UTC+3)

I am a Data Engineer with expertise in SQL, Python, Apache Airflow, and Machine Learning. I have experience in data processing, ETL, DWH support, and implementing ML models for product insights.

Remote Data Quality developer - Luiz E.
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Luiz E.

Vetted Data Quality developer in Brazil (UTC-3)

Experienced data engineer specializing in data pipeline automation and cloud-based architectures. Proficient in designing, optimizing, and maintaining ETL/ELT workflows using modern data stacks. Skilled in integrating diverse data sources, ensuring data quality, and enabling data-driven decision-making. Expertise: Python, SQL, Airflow, ETL/ELT, Data Pipelines, GCP (BigQuery, Cloud Storage, Cloud Functions), Dataform, Metabase, Data Warehousing, API Integrations, Data Scraping

Remote Data Quality coder - Norby L.
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Norby L.

Vetted Data Quality developer in Israel (UTC+3)

I have over 20 years of experience in software engineering, specializing in integration projects, ETL systems, REST APIs, and cloud operations. Skilled in various technologies including Python, AWS, and SQL.

Remote Data Quality programmer - sailee P.
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sailee P.

Vetted Data Quality developer in the United Arab Emirates (UTC-7)

Experienced Data Engineer, Python Developer, and Back-End Developer with over 5 years of expertise in designing and delivering high-performance, scalable IT solutions in BFSI domain. Proven ability to lead cross-functional teams, ensure adherence to enterprise architecture standards, and develop innovative solutions. Proficient in Python, Spark, Hadoop and Hive, with expertise in data governance, completeness checks, automation, and performance optimization. Adept at ensuring robust, secure, and optimized solutions that meet service level requirements and business objectives.

Remote Data Quality engineer - Roberto J.
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Roberto J.

Vetted Data Quality developer in Brazil (UTC-3)

Work experience with projects, data engineering and data governance: \- Work experience creating a Data Lakes and Data Warehouses and Business glossary product; \- Work experience in Data Visualization ( Looker, Tableau, Power BI, Data Studio ); \- Work experience in data analyses (SQL, Excel); \- Work experience in jobs orchestration (GCC, Airflow); \- Work experience in ETL (Python, Spark, SQL); \- Work experience implementing a governed data lake at the cloud ( GCP); \- Fluent in English and French; \- Solid knowledge in programming; \- Solid knowledge in Data Quality; \- Work experience with many stakeholders having a great and clear communication;

Remote Data Quality expert - Marcel P.
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Marcel P.

Vetted Data Quality developer in Brazil (UTC-3)

Please, visit my Linkedin for more details: [https://www.linkedin.com/in/marcel-pallete-81166b2b/](https://www.linkedin.com/in/marcel-pallete-81166b2b/) I'm an experienced Senior Data Consultant. I work for large banks and have worked for steel retailers, cargo transport companies and plastic industries, developing projects in Data engineering, integration, architecture, Business intelligence, Data analysis and Machine learning, in both Cloud and on-premisses Big Data environments, having worked in all parts of the process, from data ingestion to final delivery, including sizing, provisioning and management of cloud resources I have had the opportunity to work on BI projects in sales intelligence, operational efficiency, supply chain, controllership and finance, market monitoring, Web Analytics of digital banking products and Open Finance. I also worked on an Azure Cloud implementation project in a large bank, where I participated in the construction of its Big Data environment focused on Machine Learning and BI projects, having worked from absolute scratch. I am currently working on a data integration project between an on-premisses Big Data environment and Salesforce in a large bank, using Spark to process large volumes of data, in the range of billions of records daily. Before working in tech, I worked in various business areas, and it helps me to overcome challenges and deliver greater value faster every day.

Data QualityData warehouseData EngineeringBig DataData VisualizationData modelingPerformance OptimizationData PipelinesETLAzurePythonSQLScalaMySQLGitMongoDBDatabasePostgreSQLSharePointNumPyGitHubAmazon S3Google AnalyticsPandasWeb ScrapingCloudQuery OptimizationSASData MiningGitLabData analysisFabricAzure Queue StorageGoogle BigQueryDatabase NormalizationDockerTeradataPipelinesScrumLeadershipKanbanOLAPData MigrationTableauSQL QueriesDatabase TuningIBM DB2Data structureApache SparkMicrosoft SQL ServerAmazon RedshiftApache KafkaSQL TuningAzure SQLPower QueryLive StreamingHiveQLData processingPentahoStar SchemaData ManagementData analyticsQlik SenseJupyterTerraformApache HadoopAzure Machine LearningInfrastructure as CodeDAXAzure Service fabricUX/UI DesignData CleansingPower BIData CleaningData IntegrationGoogle Data StudioAgileSQL DatabasesLookerSnowflakeAirflowData LakeData IngestionData architectureBig Data SQLPentaho Data IntegrationAPI IntegrationAlteryxApache AirflowData manipulationAzure SQL DatabaseDataflowData wranglingAzure table storageDatabricksData ValidationBig Data EngineeringJupyterLabApache NiFiMicrosoft Power AppsAzure Blob StorageAzure Data FactoryData governanceBig data technologiesAzure SQL ServerSQL Performance TuningMicrosoft service fabricDBTMicrosoft Power AutomateData Warehouse TestingDelta LakeBig Data ArchitectureDataverseAzure Data EngineerAzure synapse analyticsAzure synapseVisual Data AnalyticsAzure Data LakeData pipeline designDelta TablesUX designAzure IoT EdgeJSONExcelMachine learningNoSQLAnalyticsWeb analyticsWireframing/prototypingUX ReviewUI designAnalysisMathematicsData ScienceRequirements GatheringTechnical WritingNoSQL DatabaseProblem solvingApache HiveMicrosoft Power PlatformQAStatisticsStrategy
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Remote Data Quality programmer - Leonardo F.
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Leonardo F.

Vetted Data Quality developer in Brazil (UTC-3)

With 5 years of experience in data engineering technologies, I am skilled in Data Analysis, Data Quality, and Big Data. I have a strong understanding of Hadoop, NoSQL, and Spark ecosystems, enabling me to develop scalable and reliable solutions for large-scale data management. Additionally, I have the ability to integrate Machine Learning technologies into Big Data solutions.

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Why clients hire Data Quality developers with Arc

Without Arc by my side, I would be wasting a lot of time looking for and vetting talent. I'm not having to start a new talent search from scratch. Instead, I’m able to leverage the talent pool that Arc has created.
Mitchum Owen
Mitchum Owen
President of Milo Digital
The process of filling our position took less than a week and they found us a superstar. They've had the flexibility to meet our specific needs every step of the way and their customer service has been top-notch since day one.
Matt Gysel
Matt Gysel
Finance & Strategy at BaseVenture
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.
Philip Tsai
Philip Tsai
Director of Engineering at Chegg

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FAQs

Why hire a Data Quality 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 Quality developer, multiple engineers, 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 Quality developers can help keep your website up-to-date.

How do I hire Data Quality developers?

To hire a Data Quality 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 Quality developers effectively and efficiently. Hire full-time Data Quality 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 Quality developers 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 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Data Quality 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 Quality developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Data Quality developers?

There are two types of platforms you can hire Data Quality developers 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 Quality 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 Quality developers, consider niche platforms like Arc that naturally attract and carefully vet their Data Quality developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Data Quality developers.

Some factors to consider when you hire Data Quality 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 Quality developers for hire.

How do I write a Data Quality developer job description?

Writing a good Data Quality developer job description is crucial in helping you hire Data Quality developers 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 Quality 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 Quality developers, read our Engineer Job Description Guide & Templates.

What skills should I look for in a Data Quality developer?

The top five technical skills Data Quality developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of 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 Quality 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 Quality developers to keep up with evolving technology and requirements.

What kinds of Data Quality developers are available for hire through Arc?

You can find a variety of Data Quality 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 Quality developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Data Quality 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 engineers in various different time zones and countries for you to choose from.

Lastly, our remote-ready Data Quality 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 Quality developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Data Quality 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 Quality developers.

Every Data Quality developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills. 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 Quality developer 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 Data Quality developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Data Quality 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 Quality 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 Quality developers, you can rest assured that all remote Data Quality 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 Quality developers on Arc?

Arc pre-screens all of our remote Data Quality developers before we present them to you. As such, all the remote Data Quality 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 450,000 candidates. You can also expect to hire a freelance Data Quality developer in 72 hours, or find a full-time Data Quality developer 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 Quality developers.

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

Depending on the freelance developer job board you use, freelance remote Data Quality developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Data Quality 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 Quality 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 Quality developer?

According to the U.S. Bureau of Labor Statistics, the medium annual wage for 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 Quality 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 Quality developers, check out our FAQs page.

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