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490 Remote Data governance developers and experts available to hire:

Data governance developers in Brazil - Roberto J.
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Roberto J.

Vetted Data governance 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;

Data Lake • 4 yrsData warehouse • 4 yrsData modeling • 4 yrsData QualityData governanceGoogle Cloud PlatformSQLPythonApache HadoopDBTAirflowDockerGitApache AirflowHDFSClusteringApache SparkImpalaHiveQLGitHub
+13
Python, Apache Hadoop, DBT, Airflow, Docker, Git, Apache Airflow, HDFS, Clustering, Apache Spark, Impala, HiveQL, GitHub
Data governance developers in Brazil - Marcel P.
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Marcel P.

Vetted Data governance 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 warehouse • 5 yrsData Engineering • 5 yrsBig Data • 3 yrsData Visualization • 7 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 ControlData SciencePerformance OptimizationETLAzurePythonSQLScalaMySQLGitMongoDBDatabasePostgreSQLSharePointNumPyGitHubAmazon S3Google AnalyticsPandasWeb ScrapingCloudQuery OptimizationSASIntegrationGitLabFabricAzure Queue StorageGoogle BigQueryDatabase NormalizationDockerPython 3TeradataPipelinesScrumLeadershipKanbanOLAPTableauSQL QueriesDatabase TuningIBM DB2Apache SparkMicrosoft SQL ServerAmazon RedshiftApache KafkaSQL TuningAzure SQLPower QueryLive StreamingHiveQLPentahoStar SchemaQlik SenseJupyterTerraformApache 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 fabricDBTMicrosoft Power AutomateDelta LakeDataverseAzure synapse analyticsAzure synapseDelta TablesUX designAzure IoT EdgeJSONExcelMachine learningNoSQLAnalyticsWeb analyticsWireframing/prototypingUX ReviewUI designAnalysisMathematicsRequirements GatheringTechnical WritingNoSQL DatabaseProblem solvingApache HiveMicrosoft Power PlatformQAStatisticsStrategy
+139
Data analysis, Data Migration, Data structure, Data processing, Data Management, Data analytics, Data Cleansing, Data Cleaning, Data Integration, Google Data Studio, Data Lake, Data Ingestion, Data architecture, Big Data SQL, Pentaho Data Integration, Data Quality, Data manipulation, Data wrangling, Data Validation, Big Data Engineering, Azure Data Factory, Data governance, Big data technologies, Data Warehouse Testing, Big Data Architecture, Azure Data Engineer, Visual Data Analytics, Azure Data Lake, Data pipeline design, Data Version Control, Data Science, Performance Optimization, ETL, Azure, Python, SQL, Scala, MySQL, Git, MongoDB, Database, PostgreSQL, SharePoint, NumPy, GitHub, Amazon S3, Google Analytics, Pandas, Web Scraping, Cloud, Query Optimization, SAS, Integration, GitLab, Fabric, Azure Queue Storage, Google BigQuery, Database Normalization, Docker, Python 3, Teradata, Pipelines, Scrum, Leadership, Kanban, OLAP, Tableau, SQL Queries, Database Tuning, IBM DB2, Apache Spark, Microsoft SQL Server, Amazon Redshift, Apache Kafka, SQL Tuning, Azure SQL, Power Query, Live Streaming, HiveQL, Pentaho, Star Schema, Qlik Sense, Jupyter, Terraform, Apache Hadoop, Azure Machine Learning, Infrastructure as Code, DAX, Azure Service fabric, UX/UI Design, Cloud Architecture, Power BI, Agile, SQL Databases, Looker, Snowflake, Airflow, Alteryx, Apache Airflow, Azure SQL Database, Dataflow, Azure table storage, Databricks, JupyterLab, Apache NiFi, Microsoft Power Apps, Azure Blob Storage, Azure SQL Server, SQL Performance Tuning, Microsoft service fabric, DBT, Microsoft Power Automate, Delta Lake, Dataverse, Azure synapse analytics, Azure synapse, Delta Tables, UX design, Azure IoT Edge, JSON, Excel, Machine learning, NoSQL, Analytics, Web analytics, Wireframing/prototyping, UX Review, UI design, Analysis, Mathematics, Requirements Gathering, Technical Writing, NoSQL Database, Problem solving, Apache Hive, Microsoft Power Platform, QA, Statistics, Strategy
Data governance developers in Brazil - Mylena M.
Mylena M.

Data governance developer in Brazil (UTC-3)

Data Analyst with over 3 years of experience in data management, governance, and engineering, specializing in data analysis, optimizing data pipelines, enhancing operational efficiency, and ensuring data integrity. Proficient in technologies such as Alation, Python, and DataStage, with a strong emphasis on driving performance improvements. Experienced in participating in complex data projects, collaborating with global teams, and conducting thorough quality assurance processes. Capable of transforming business needs into actionable technical strategies, demonstrating a commitment to continuous improvement and professional growth. Previous experience includes leadership in software testing and academic roles, demonstrating a commitment to quality and continuous improvement in data-driven environments.

Data analytics • 4 yrsData governanceData modelingData LakeData analysisSQLGoogle BigQueryGoogle Cloud PlatformGitHubPythonTalendLookerDataStage
+6
Google Cloud Platform, GitHub, Python, Talend, Looker, DataStage
Data governance developers in Brazil - hugo A.
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hugo A.

Vetted Data governance developer in Brazil (UTC-3)

**Deep Learning Architect (L5) | AWS Generative AI Innovation Center** _São Paulo, Brazil_ With 5+ years experience in AI/ML, I am currently a Deep Learning Architect at AWS Generative AI Innovation Center, blending my expertise in Generative AI science with advanced architectural design to deliver robust, scalable solutions. In my role, which merges the responsibilities of a Data Scientist and a Solutions Architect, I lead customer engagements from proof-of-concept to production-grade systems, ensuring they are secure, fault-tolerant, and optimized for enterprise performance. As a tech lead, I maintain a hands-on approach—contributing to model development, optimization, and deployment—while collaborating with diverse teams to design solutions that drive innovation and disrupt industries. I am seeking long-term opportunities where I can leverage my dual expertise to develop cutting-edge Generative AI solutions and help companies revolutionize their business verticals through transformative technology. ### **Technical Skills** **Artificial Intelligence & Machine Learning** * Expertise in Large Language Models (LLMs), Natural Language Processing (NLP), Computer Vision, Neural Networks, Transformers * Hands-on experience with frameworks: PyTorch, TensorFlow, Scikit-learn **Cloud Computing & DevOps** * 4 AWS Certified (Soultions Architect, Cloud Developer, Machine Learning Specialty, Data Analytics Specialty), Docker, Kubernetes, CircleCI, Elastic Beanstalk, Apache Airflow **Programming & Software Development** * Proficient in Python, R, and SQL * Experienced in building and consuming RESTful APIs and GraphQL **Data Engineering & Big Data** * Skilled in Apache Spark, NoSQL databases (MongoDB, DynamoDB, Elasticsearch) * Experienced in building data pipelines, ETL processes, and optimizing data workflows **Data Analytics & Visualization** * Proficient in Power BI * Proficient Plotly, Bokeh, Matplotlib and Seaborn * Advanced statistical modeling using using R and statsmodels **Soft Skills** * Strong problem-solving ability, Agile/Scrum methodology, proven team leadership, and commitment to continuous learning **Languages** * Portuguese (Native), English (Fluent), French (Fluent), Spanish (Advanced), German (Advanced)

Data Science • 5 yrsData analysisMachine learningAWSApache SparkGoogle Cloud PlatformNLPTensorFlowSQLPythonGenerative AILeadershipSolution ArchitecturePandasStatistical AnalysisScikit-learnLarge Language ModelsGoogle BigQueryDockerETLKubernetesAirflow
+15
TensorFlow, SQL, Python, Generative AI, Leadership, Solution Architecture, Pandas, Statistical Analysis, Scikit-learn, Large Language Models, Google BigQuery, Docker, ETL, Kubernetes, Airflow
Data governance developers in Brazil - Felippe M.
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Felippe M.

Vetted Data governance developer in Brazil (UTC-3)

I'm an Engineer, with a background in Artificial Intelligence, and I've always sought to use technology to solve problems. In my Master's, my study focused on Artificial Neural Networks, and I've published scientific articles and produced a dissertation on the subject. In the last four years, I've dedicated myself to studying Data Science (Python, ML, SQL, Spark). I'm responsible and a team worker. During my career, I've taken on several managerial roles, having even led remote teams. I know how to work with other people and try to treat everyone with respect and courtesy. I'm always open to hearing suggestions, criticisms, and other perspectives. I have just finished the Data Science Bootcamp with the french school Le Wagon. It was an amazing experience and I was able to further consolidate my skills in Data Science: statistics and probability, SQL, Python (Pandas, Numpy, Sklearn, PyTorch, Tensorflow/Keras), NLP, MLOPs basics (Google Cloud). I am searching for new challenges and experiences, and I believe I can make valuable contributions.

Data Science • 4 yrsData analysis • 4 yrsData warehouseMachine learningPythonAITensorFlowSQLApache SparkExcel
+3
SQL, Apache Spark, Excel
Data governance developers in Brazil - Cleyton P.
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Cleyton P.

Vetted Data governance developer in Brazil (UTC-3)

Cleyton is a software engineer with 20+ years of experience in all aspects of the software development lifecycle, from concept to development, testing, and management. A specialist in data science and machine learning, he is Google certified and well-versed in various technologies, including Python, Jupyter Notebook, pandas, NumPy, and web scraping. Cleyton is also skilled in back-end technologies, such as Flask, RESTful API, authentication, SQLAlchemy, and PostgreSQL.

Data Science • 4 yrsData MiningPythonMachine learningCC++PandasNumPySQLExcel VBAJavaAgileVersion controlTroubleshootingSoftware DesignSoftware DevelopmentTest AutomationTestingScrum
+12
NumPy, SQL, Excel VBA, Java, Agile, Version control, Troubleshooting, Software Design, Software Development, Test Automation, Testing, Scrum
Data governance developers in Brazil - Lawrence F.
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Lawrence F.

Vetted Data governance developer in Brazil (UTC-3)

I'm a Data architect, with past experiences in Business Intelligence and Data Engineering on leading companies, such as IBM, B2W, and Nestlé. I've being working for 5 years on Big Data projects, using multiple clouds (GCP, AWS, and Azure) and architectures (Data Warehouses/Lakes/Lakehouses, Modern Data Platforms, Data Mesh). Currently, I'm the leader of Debussy, an opinionated open-source data architecture and engineering framework that integrates Airflow, Spark, and dbt.

Data warehouse • 5 yrsData modeling • 5 yrsAzure Data FactorySQLPythonAzureJiraGoogle Cloud PlatformConfluenceApache AirflowAWSMySQLPostgreSQLGoogle AnalyticsGoogle BigQueryApache SparkMicrosoft SQL ServerLookerApache BeamDatabricks
+13
Google Cloud Platform, Confluence, Apache Airflow, AWS, MySQL, PostgreSQL, Google Analytics, Google BigQuery, Apache Spark, Microsoft SQL Server, Looker, Apache Beam, Databricks
Data governance developers in Brazil - Edson P.
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Edson P.

Vetted Data governance developer in Brazil (UTC-3)

With over 25 years of experience in the software industry, I am a data modeling expert who facilitates cutting-edge solutions for data integration and analytics. I have developed and honed my technical skills as a data modeler, data architect, PL\*SQL developer, SQL developer, and project manager, working with diverse and complex data sources such as databases, flat files, Oracle, and others. Currently, I am providing data modeling and ETL/ELT services to Nestlé USA through Code 17 TEK and Tiger Analytics, two leading data analytics companies. My role involves creating and managing structured data for the integration of several different applications and enabling the business to make evidence-based decisions. In previous positions, I have led and supported large data projects in various fields such as lubes, energy, fare management, GPS/GPRS tracking systems, CRMs, construction, and others. I have also acquired good communication skills, working with teams around the globe such as Germany, Vienna, Abu Dhabi, Canada, India, and the US.

Data warehouse • 10 yrsData modeling • 10 yrsAzure Data Factory • 3 yrsAzure Data LakeSQLOracle PL/SQLETLAzureAzure synapse analyticsPythonDatabricksAzure SQL ServerAzure synapseSnowflakeQlikOracle DatabasePython 3
+10
Azure, Azure synapse analytics, Python, Databricks, Azure SQL Server, Azure synapse, Snowflake, Qlik, Oracle Database, Python 3
Data governance developers in Brazil - Daniel C.
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Daniel C.

Vetted Data governance developer in Brazil (UTC-3)

With over 17 years of expertise in computational system analysis, research, and development, I have a strong background in backend web technologies, including Python, Golang, Rust, and TypeScript (NodeJS). I have delivered scalable solutions within microservices architectures. Nowadays, I am focused on advancing my knowledge in Artificial Intelligence, concentrating on Model Selection, Hyperparameter Tuning, and Reinforcement Learning to drive cutting-edge solutions.

Startup experienceData modeling • 6 yrsC++PythonBashSQLApache KafkaKubernetesRustGoElasticsearchPostgreSQLTypeScriptTerraformGraphql.jsTensorRTWAMPAWSMongoDBIstio
+12
Rust, Go, Elasticsearch, PostgreSQL, TypeScript, Terraform, Graphql.js, TensorRT, WAMP, AWS, MongoDB, Istio
Data governance developers in Brazil - Gabriel A.
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Gabriel A.

Vetted Data governance developer in Brazil (UTC-3)

Experienced Senior Software Engineer with 6+ years in full-stack development, cloud integration, API design and development. Proficient in Next.js, JavaScript, React, Java and Node.js. Delivers scalable, high-performance solutions and automates processes to drive operational excellence. Recently expanding into Web3 and blockchain development, diving into Ethereum, Solidity, and smart contract development.

Data Integration • 5 yrsJavaScriptReactJavaAPISpring BootTypeScriptNode.jsHTML/CSSTailwind cssSQLSap cloud platformDell BoomiNetSuite
+7
Node.js, HTML/CSS, Tailwind css, SQL, Sap cloud platform, Dell Boomi, NetSuite

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Why clients hire Data governance 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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Data governance developers
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Arc Data governance developers
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FAQs

Why hire a Data governance 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 governance 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 governance developers can help keep your website up-to-date.

How do I hire Data governance developers?

To hire a Data governance 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 governance developers effectively and efficiently. Hire full-time Data governance 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 governance 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 governance 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 governance developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Data governance developers?

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

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

How do I write a Data governance developer job description?

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

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

The top five technical skills Data governance 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 governance 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 governance developers to keep up with evolving technology and requirements.

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

You can find a variety of Data governance 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 governance developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Data governance 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 governance 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 governance developers?

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

Every Data governance 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 governance 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 governance developer's skills?

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

Arc pre-screens all of our remote Data governance developers before we present them to you. As such, all the remote Data governance 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 governance developer in 72 hours, or find a full-time Data governance 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 governance developers.

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

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

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