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2,111 Remote Big Data SQL developers and experts available to hire:

Big Data SQL developers in Brazil - Bruno O.
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Bruno O.

Vetted Big Data SQL developer in Brazil (UTC-3)

Passionate self-learner since 13, I embarked on my journey in software development creating game hacks using Assembly, C and a lot of reverse engineering. Over the past 7+ years, I've worked on backend focused roles, building IoT and data-driven projects, team management, embedded systems, leading development teams and contributing to fastpaced startups. My expertise lies in building microservices, event-driven architectures, and data-intensive, performant and scalable software solutions. I am addicted to bug hunting and creating fault-tolerant code, aiming to become a software architect and IoT expert

SQL • 6 yrsBig DataEvent-Driven ArchitectureNode.jsSoftware architectureNoSQLTypeScriptJavaScriptAWSIoTPythonPostgreSQLAzureRedisDockerReactNestJSDevOpsIntegrationGoogle BigQueryApache KafkaKubernetesgRPCRelational DatabaseGraph DatabaseCloud ArchitectureNoSQL Database
+20
JavaScript, AWS, IoT, Python, PostgreSQL, Azure, Redis, Docker, React, NestJS, DevOps, Integration, Google BigQuery, Apache Kafka, Kubernetes, gRPC, Relational Database, Graph Database, Cloud Architecture, NoSQL Database
Big Data SQL developers in Brazil - Daniel N.
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Daniel N.

Vetted Big Data SQL developer in Brazil (UTC-3)

Skilled Software Developer with a broad range of expertise encompassing Amazon Web Services (AWS), API development, Full Stack, Requests, software engineering, XPath, Web and Mobile App development, SAP, Selenium, Unit Testing, Python Programming, Web Crawling solutions, Automatic Testing, OpenCV, Windows Azure Platform, Cloud Computing, Data Validation, Data Lake, PostgreSQL, MongoDB, Node.js, Business Logic, Vue.js, SAP ERP, JIRA, C#, GitHub, Google Cloud Platform, and Flutter. Daniel has successfully engineered hyperscale SAP and cloud solutions for international companies, leading cloud migration projects and demonstrating proficiency in developing and deploying automation crawlers and APIs. He has a strong track record in software application development, excelling in automated testing methodologies and unit testing and utilizing diverse tech stacks tailored to project requirements. Daniel has also demonstrated crisis management skills in resolving Disaster Recovery.

Startup experienceSQLBig DataPostgreSQLPythonJavaScriptFastapiFlaskNode.jsVue.jsMongoDBHTML/CSSGitAPISeleniumGitHubPandasOCRDockerDynamoDBAWS DynamoDBAWS LambdaPlaywrightAWSAzureTypeScriptReactBack-EndKubernetesAzure DevOps ServerJavaDjangoAmazon EC2Amazon S3RedisJiraAmazon RedshiftSwaggerPostman
+31
Node.js, Vue.js, MongoDB, HTML/CSS, Git, API, Selenium, GitHub, Pandas, OCR, Docker, DynamoDB, AWS DynamoDB, AWS Lambda, Playwright, AWS, Azure, TypeScript, React, Back-End, Kubernetes, Azure DevOps Server, Java, Django, Amazon EC2, Amazon S3, Redis, Jira, Amazon Redshift, Swagger, Postman
Big Data SQL developers in Brazil - Luan C.
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Luan C.

Vetted Big Data SQL developer in Brazil (UTC-3)

Staff Software Engineer with 15+ years of experience leading and developing scalable, high-availability systems. Proven ability to drive projects from inception to deployment, leveraging expertise in Kotlin, Java, AWS, Google Cloud, and Kubernetes. Successfully led the development of risk analysis and transaction decision systems, improving service reliability and speed. Passionate about incorporating AI into software development, including using SageMaker for fraud detection. I have supplemented my practical experience with self-study courses in LLMs and AI, further enhancing my ability to contribute to innovative solutions. Dedicated to continuous improvement, mentorship, and fostering a collaborative team environment.

SQL • 10 yrsBig DataSpring BootAWSJavaJavaScriptHTML/CSSBashPythonTypeScriptC++RustLinuxSpringPostgreSQLGitHubGradleMaven 3ContainersGoogle BigQueryKotlinMaven gradleKubernetesTerraformGoRestassuredRESTful APIHelm ChartsMicronautGitHub ActionsAI/MLAIDevOpsRedisMachine learningNeo4jElasticsearchRabbitMQApache KafkaGrafanaPrometheusGatlingAWS SageMakerNode.jsAmazon S3CDNPython 3DynamoDBAWS LambdaCI/CDAmazon athenaRest api designAWS CDK
+46
Bash, Python, TypeScript, C++, Rust, Linux, Spring, PostgreSQL, GitHub, Gradle, Maven 3, Containers, Google BigQuery, Kotlin, Maven gradle, Kubernetes, Terraform, Go, Restassured, RESTful API, Helm Charts, Micronaut, GitHub Actions, AI/ML, AI, DevOps, Redis, Machine learning, Neo4j, Elasticsearch, RabbitMQ, Apache Kafka, Grafana, Prometheus, Gatling, AWS SageMaker, Node.js, Amazon S3, CDN, Python 3, DynamoDB, AWS Lambda, CI/CD, Amazon athena, Rest api design, AWS CDK
Big Data SQL developers in Brazil - Leonardo C.
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Leonardo C.

Vetted Big Data SQL developer in Brazil (UTC-3)

_**A cloud certified developer with 10 years of experience responsible for complex modelling and engineering of vast amounts of data.**_ * Certified AWS Solutions Architect Associate and AWS Machine Learning Specialty. * Among consolidated technical skills are Deep Learning, NLP, LLM, embedded systems programming; data analysis development and programming; cloud computing; Big Data and large-scale database queries; Machine Learning modeling and statistical tests for data analysis; exploratory analysis, data visualization and dashboard creation. * Control and Automation Engineer with Master's and Postgraduate degrees, both with an emphasis in relevant areas for data analysis and Artificial Intelligence. * Award in national Data Mining competition. * Portfolio includes parallel projects such as the development of a Web App for analyzing sporting events, demonstrating ability to innovate and apply knowledge in a practical and impactful way. * Proficient in languages and tools such as Python, SQL, R, Tensorflow, Keras, Pandas, ScikitLearn, Plotly DASH, Tableau, Power BI, among others. Stands out not only for his extensive experience and technical qualifications, but also for his ability to apply his skills in an impactful way, generating real value for the institutions he has worked for.

Data Science • 10 yrsSQLBig DataMachine learningPythonNLPAWSPandasApache SparkPyTorchAI/MLLangchainLLMRJavaPredictive modeling
+9
Pandas, Apache Spark, PyTorch, AI/ML, Langchain, LLM, R, Java, Predictive modeling
Big Data SQL developers in Brazil - Rafael F.
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Rafael F.

Vetted Big Data SQL developer in Brazil (UTC-3)

Seasoned professional with over 5 years of experience delivering cloud-based data solutions. Currently serving as a Senior Data Engineer and System Integration Lead, I excel in orchestrating complex data migrations and designing efficient data models and pipelines to drive business success. Proven track record of working remotely with international teams, leveraging asynchronous communication to effectively collaborate and manage projects across time zones. Skilled in communication, planning, documentation, and liaising between stakeholders to ensure seamless project execution.

SQL • 7 yrsData architecture • 6 yrsData warehouse • 5 yrsData Engineering • 5 yrsData modeling • 5 yrsBig DataPythonETLPower BIBigQuery MLWeb ScrapingSalesforceVirtualizationGit flowContinuous DeploymentApache AirflowMachine learningHeuristicsDeep LearningRESTful APIOpen Source SoftwareTime Series Analysis
+15
ETL, Power BI, BigQuery ML, Web Scraping, Salesforce, Virtualization, Git flow, Continuous Deployment, Apache Airflow, Machine learning, Heuristics, Deep Learning, RESTful API, Open Source Software, Time Series Analysis
Big Data SQL developers in Brazil - Yuri A.
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Yuri A.

Vetted Big Data SQL developer in Brazil (UTC-3)

I am a Python Developer with expertise in Machine Learning, Geospatial Analysis, Statistical Analysis and Functional Programming. I hold a BSc in Aerospace Engineering and have worked on impactful projects in AI.

Geospatial Data Analysis • 5 yrsBig Data • 4 yrsSQL • 3 yrsPythonMachine learningLinuxMathematicsStatisticsAWSScalaHaskell
+4
Statistics, AWS, Scala, Haskell
Big Data SQL developers in Brazil - hugo A.
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hugo A.

Vetted Big Data SQL 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 yrsSQL • 5 yrsData analysisMachine learningAWSApache SparkGoogle Cloud PlatformNLPTensorFlowPythonGenerative AILeadershipSolution ArchitecturePandasStatistical AnalysisScikit-learnLarge Language ModelsGoogle BigQueryDockerETLKubernetesAirflow
+15
NLP, TensorFlow, Python, Generative AI, Leadership, Solution Architecture, Pandas, Statistical Analysis, Scikit-learn, Large Language Models, Google BigQuery, Docker, ETL, Kubernetes, Airflow
Big Data SQL developers in Brazil - Erico B.
Erico B.

Big Data SQL developer in Brazil (UTC-3)

With over 15 years of experience in major retail and service industries, I have worked in various areas, including commercial planning, strategic planning, market intelligence, and business intelligence. Currently, I am working as a Data Scientist in the Competitive Intelligence cell at Cogna. My key contributions include: • Data Transformation and Statistical Analysis: Responsible for developing and implementing advanced data analysis strategies using techniques such as clustering, forecasting, segmentation, classification, and regression. Focused on the expansion of educational hubs, enabling precise identification of market opportunities and optimization of operations to generate clear and effective insights that influence decision-making. • Technological Proficiency: Utilized a wide range of tools and languages, including SQL, Machine Learning, HQL (Hive), Alteryx, Power BI, Tableau, Azure Data Bricks, Bigquery, Python, and R, to extract valuable insights from data.

SQL • 10 yrsData Science • 6 yrsBig DataMachine learningPythonRAIOracleClassificationCluster AnalysisGoogle BigQueryLinear regressionPower BIPredictive modelingDatabricksDgbAzureClusteringSkySparkTableauTelecomApache HiveAWS
+16
Oracle, Classification, Cluster Analysis, Google BigQuery, Linear regression, Power BI, Predictive modeling, Databricks, Dgb, Azure, Clustering, SkySpark, Tableau, Telecom, Apache Hive, AWS
Big Data SQL developers in Brazil - Marcel P.
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Marcel P.

Vetted Big Data SQL 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 yrsSQLData MiningData analysisData MigrationSQL QueriesData structureMicrosoft SQL ServerSQL TuningAzure SQLData processingData ManagementData analyticsData CleansingData CleaningData IntegrationGoogle Data StudioSQL DatabasesData LakeData IngestionData architectureBig Data SQLPentaho Data IntegrationData QualityData manipulationAzure SQL DatabaseData wranglingData ValidationBig Data EngineeringAzure Data FactoryData governanceBig data technologiesAzure SQL ServerSQL Performance TuningData Warehouse TestingBig Data ArchitectureAzure Data EngineerVisual Data AnalyticsAzure Data LakeData pipeline designData Version ControlData SciencePerformance OptimizationETLAzurePythonScalaMySQLGitMongoDBDatabasePostgreSQLSharePointNumPyGitHubAmazon S3Google AnalyticsPandasWeb ScrapingCloudQuery OptimizationSASIntegrationGitLabFabricAzure Queue StorageGoogle BigQueryDatabase NormalizationDockerPython 3TeradataPipelinesScrumLeadershipKanbanOLAPTableauDatabase TuningIBM DB2Apache SparkAmazon RedshiftApache KafkaPower QueryLive StreamingHiveQLPentahoStar SchemaQlik SenseJupyterTerraformApache HadoopAzure Machine LearningInfrastructure as CodeDAXAzure Service fabricUX/UI DesignCloud ArchitecturePower BIAgileLookerSnowflakeAirflowAlteryxApache AirflowDataflowAzure table storageDatabricksJupyterLabApache NiFiMicrosoft Power AppsAzure Blob StorageMicrosoft 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 Mining, Data analysis, Data Migration, SQL Queries, Data structure, Microsoft SQL Server, SQL Tuning, Azure SQL, Data processing, Data Management, Data analytics, Data Cleansing, Data Cleaning, Data Integration, Google Data Studio, SQL Databases, Data Lake, Data Ingestion, Data architecture, Big Data SQL, Pentaho Data Integration, Data Quality, Data manipulation, Azure SQL Database, Data wrangling, Data Validation, Big Data Engineering, Azure Data Factory, Data governance, Big data technologies, Azure SQL Server, SQL Performance Tuning, 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, 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, Database Tuning, IBM DB2, Apache Spark, Amazon Redshift, Apache Kafka, 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, Looker, Snowflake, Airflow, Alteryx, Apache Airflow, Dataflow, Azure table storage, Databricks, JupyterLab, Apache NiFi, Microsoft Power Apps, Azure Blob Storage, 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
Big Data SQL developers in Brazil - Matheus T.
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Matheus T.

Vetted Big Data SQL developer in Brazil (UTC-3)

Professional passionate about data engineering and always wanting to learn more about things. Citizenship: Brazilian/Italian I graduated in information systems at FIAP having 10 years in the technology area currently working as a data engineer. GitHub: [https://github.com/tramontini](https://github.com/tramontini) Medium: [https://medium.com/@tramontini](https://medium.com/@tramontini)

SQL • 8 yrsBig Data • 7 yrsPythonETLGoogle BigQueryApache KafkaGoogle Cloud PlatformApache SparkKubernetesAirflowRDocker
+5
Apache Spark, Kubernetes, Airflow, R, Docker

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Why clients hire Big Data SQL 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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Big Data SQL developers
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Arc offers pre-vetted remote software developers skilled in every programming language, framework, and technology.
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Arc helps you build your team with our network of full-time and freelance Big Data SQL developers worldwide.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.

FAQs

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

How do I hire Big Data SQL developers?

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

Where do I hire the best remote Big Data SQL developers?

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

Some factors to consider when you hire Big Data SQL 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 Big Data SQL developers for hire.

How do I write a Big Data SQL developer job description?

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

What skills should I look for in a Big Data SQL developer?

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

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

You can find a variety of Big Data SQL developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Big Data SQL developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Big Data SQL 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 Big Data SQL 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 Big Data SQL developers?

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

Every Big Data SQL 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 Big Data SQL 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 Big Data SQL developer's skills?

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

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

How much does a freelance Big Data SQL developer charge per hour?

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

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