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178 Remote Spark optimization developers and experts available to hire:

Spark optimization developers in Brazil - Bruno T.
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Bruno T.

Vetted Spark optimization developer in Brazil (UTC-3)

Senior AI/MLOps Engineer with 8+ years of experience building and deploying enterprise-scale machine learning solutions. Demonstrated success bridging the gap between data science and production operations, accelerating delivery through CI/CD best practices, and optimizing the full ML lifecycle. Skilled at architecting MLOps systems, containerization with Kubernetes and cloud orchestration. Adept at working in Agile environments, collaborating with cross-functional teams, and translating business needs into robust ML architectures that scale.

Spark optimizationPythonMachine learningAIData ScienceNLPCloudSQLBack-EndMLOpsPyTorchDockerTerraformGrafanaCI/CDMLflowAzure DevOps ServerObservabilitySemantic WebData PipelinesLLMAI ChatbotVector databasesKubernetes
+17
SQL, Back-End, MLOps, PyTorch, Docker, Terraform, Grafana, CI/CD, MLflow, Azure DevOps Server, Observability, Semantic Web, Data Pipelines, LLM, AI Chatbot, Vector databases, Kubernetes
Spark optimization developers in Brazil - Marcel P.
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Marcel P.

Vetted Spark optimization 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.

Performance Optimization • 5 yrsQuery OptimizationApache SparkData warehouseData EngineeringBig DataData VisualizationData modelingData PipelinesETLAzurePythonSQLScalaMySQLGitMongoDBDatabasePostgreSQLSharePointNumPyGitHubAmazon S3Google AnalyticsPandasWeb ScrapingCloudSASIntegrationData MiningGitLabData analysisFabricAzure Queue StorageGoogle BigQueryDatabase NormalizationDockerPython 3TeradataPipelinesScrumLeadershipKanbanOLAPData MigrationTableauSQL QueriesDatabase TuningIBM DB2Data structureMicrosoft SQL ServerAmazon RedshiftApache KafkaSQL TuningAzure SQLPower QueryLive StreamingHiveQLData processingPentahoStar SchemaData ManagementData analyticsQlik SenseJupyterTerraformApache HadoopAzure Machine LearningInfrastructure as CodeDAXAzure Service fabricUX/UI DesignData CleansingCloud ArchitecturePower BIData CleaningData IntegrationGoogle Data StudioAgileSQL DatabasesLookerSnowflakeAirflowData LakeData IngestionData architectureBig Data SQLPentaho Data IntegrationAlteryxData QualityApache 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 designData Version ControlDelta TablesUX designAzure IoT EdgeJSONExcelMachine learningNoSQLAnalyticsWeb analyticsWireframing/prototypingUX ReviewUI designAnalysisMathematicsData ScienceRequirements GatheringTechnical WritingNoSQL DatabaseProblem solvingApache HiveMicrosoft Power PlatformQAStatisticsStrategy
+139
Data modeling, Data Pipelines, ETL, Azure, Python, SQL, Scala, MySQL, Git, MongoDB, Database, PostgreSQL, SharePoint, NumPy, GitHub, Amazon S3, Google Analytics, Pandas, Web Scraping, Cloud, SAS, Integration, Data Mining, GitLab, Data analysis, Fabric, Azure Queue Storage, Google BigQuery, Database Normalization, Docker, Python 3, Teradata, Pipelines, Scrum, Leadership, Kanban, OLAP, Data Migration, Tableau, SQL Queries, Database Tuning, IBM DB2, Data structure, Microsoft SQL Server, Amazon Redshift, Apache Kafka, SQL Tuning, Azure SQL, Power Query, Live Streaming, HiveQL, Data processing, Pentaho, Star Schema, Data Management, Data analytics, Qlik Sense, Jupyter, Terraform, Apache Hadoop, Azure Machine Learning, Infrastructure as Code, DAX, Azure Service fabric, UX/UI Design, Data Cleansing, Cloud Architecture, Power BI, Data Cleaning, Data Integration, Google Data Studio, Agile, SQL Databases, Looker, Snowflake, Airflow, Data Lake, Data Ingestion, Data architecture, Big Data SQL, Pentaho Data Integration, Alteryx, Data Quality, Apache Airflow, Data manipulation, Azure SQL Database, Dataflow, Data wrangling, Azure table storage, Databricks, Data Validation, Big Data Engineering, JupyterLab, Apache NiFi, Microsoft Power Apps, Azure Blob Storage, Azure Data Factory, Data governance, Big data technologies, Azure SQL Server, SQL Performance Tuning, Microsoft service fabric, DBT, Microsoft Power Automate, Data Warehouse Testing, Delta Lake, Big Data Architecture, Dataverse, Azure Data Engineer, Azure synapse analytics, Azure synapse, Visual Data Analytics, Azure Data Lake, Data pipeline design, Data Version Control, Delta Tables, UX design, Azure IoT Edge, JSON, Excel, Machine learning, NoSQL, Analytics, Web analytics, Wireframing/prototyping, UX Review, UI design, Analysis, Mathematics, Data Science, Requirements Gathering, Technical Writing, NoSQL Database, Problem solving, Apache Hive, Microsoft Power Platform, QA, Statistics, Strategy
Spark optimization developers in Brazil - Alexsander R.
Alexsander R.

Spark optimization developer in Brazil (UTC-3)

With a deep-seated passion for technology and a significant journey through the entrancing realm of data, I've been transforming the business world, utilizing advanced data analyses across various projects in both multinational and national companies. My expertise stands out in managing tools such as Power BI, ClickHouse, MySQL, AB Initio, SAP, and cloud platforms (Azure, AWS, GCP), coupled with a profound mastery of Python and R, and the ability to navigate Agile and Waterfall methodologies, catalyzing data-driven solutions that propel corporate success. In my previous role, I consistently delivered actionable insights and operational improvements, playing a pivotal role in transitioning data visualization tools at a multinational company while driving enhancements through analyses that enabled cost savings and revenue optimization. Additionally, I successfully clustered and optimized data pipelines, improving their efficiency and scalability to support large-scale operations, further solidifying my expertise in data engineering and analytics. My dedication goes beyond technique: immersed in continuous learning and enhancement through training and mentorships, I remain at the forefront of sector technologies and practices. Medium: https://medium.com/@alexsander.silveira1 Github: https://github.com/alexdataengineer

Apache Spark • 4 yrsSpark optimizationSQLPythonPower BIData warehouseData modelingApache AirflowGoogle Cloud PlatformAWSApache KafkaKanbanSnowflakeCI/CDDBTExcelAzureGitHubMicrosoft SQL ServerDataflowDatabricks
+14
Apache Airflow, Google Cloud Platform, AWS, Apache Kafka, Kanban, Snowflake, CI/CD, DBT, Excel, Azure, GitHub, Microsoft SQL Server, Dataflow, Databricks
Spark optimization developers in Brazil - hugo A.
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hugo A.

Vetted Spark optimization 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)

Apache Spark • 5 yrsMachine learningAWSData ScienceGoogle Cloud PlatformNLPTensorFlowSQLPythonGenerative AILeadershipSolution ArchitecturePandasData analysisStatistical AnalysisScikit-learnLarge Language ModelsGoogle BigQueryDockerETLKubernetesAirflow
+15
SQL, Python, Generative AI, Leadership, Solution Architecture, Pandas, Data analysis, Statistical Analysis, Scikit-learn, Large Language Models, Google BigQuery, Docker, ETL, Kubernetes, Airflow
Spark optimization developers in Brazil - Igor T.
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Igor T.

Vetted Spark optimization developer in Brazil (UTC-3)

I am a Software Engineer who has been working with data since 2017. In my career, I have worked on different solutions, such as planning and building a Data Lake on AWS using Delta Lake to store 3D Printer sensor information, and developing a data product to device the optimal energy allocation in Minning facilities reducing the cost of R$1,000,000.00 per year using R. My primary programming language is Python, and I have expertise working with data engineering tools in the AWS environment, like Spark, Airflow, Redshift, EMR, Kinesis, and Lambda. My greatest passion is working with projects that can challenge me and make me a better developer

Apache Spark • 4 yrsPythonAWSSQLSQLiteAmazon S3PandasDynamoDBAmazon RedshiftApache AirflowJavaKubernetesPHPScalaPostgreSQLElasticsearchApache Hadoop
+10
DynamoDB, Amazon Redshift, Apache Airflow, Java, Kubernetes, PHP, Scala, PostgreSQL, Elasticsearch, Apache Hadoop
Spark optimization developers in Brazil - Aniceto J.
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Aniceto J.

Vetted Spark optimization developer in Brazil (UTC-3)

I am a data engineer and Backend Developer with more than 15 years of experience in software development and systems analysis. I have a bachelor's degree in Information System, a master's degree in Computer Science and a PhD in Mechanical Engineering with an emphasis on artificial intelligence. In the first quarter of 2020, finalize a data lake project on AWS to receive data from the industrial sector. I work with technologies such as AWS, Docker, Kubernetes, Java, AngularJS, Angular 8, Python, NodeJS, SpringBoot, PostgreSQL, SQL Server, MYSQL. I have the ability to learn and integrate different technologies.

Apache Spark • 3 yrsSQLJavaAWSPythonETLApache AirflowData EngineeringApache KafkaBig DataJenkinsPython 3Apache HadoopGitGitLabScrumApache hudiDjangoNode.jsPostgreSQLCucumberDockerServerless
+16
Data Engineering, Apache Kafka, Big Data, Jenkins, Python 3, Apache Hadoop, Git, GitLab, Scrum, Apache hudi, Django, Node.js, PostgreSQL, Cucumber, Docker, Serverless
Spark optimization developers in Brazil - Tiago F.
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Tiago F.

Vetted Spark optimization developer in Brazil (UTC-3)

Results-driven data engineer with 6 years of experience in designing and implementing data solutions. Proficient in leveraging PySpark, Python, Hadoop, PostgreSQL, and AWS to develop scalable and efficient data pipelines, ETL processes, and data warehousing solutions. Demonstrated expertise in optimizing data workflows, ensuring data quality and integrity, and driving data-driven decision-making. Adept at collaborating with cross-functional teams to deliver innovative solutions that meet business requirements. Strong problem-solving and analytical skills combined with a commitment to continuous learning and staying up-to-date with emerging technologies in the data engineering space.

Apache Spark • 6 yrsSQLPythonETLAirflowAWSCI/CDTerraformApache KafkaDynamoDBAmazon Redshift
+4
Terraform, Apache Kafka, DynamoDB, Amazon Redshift
Spark optimization developers in Brazil - Leandro A.
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Leandro A.

Vetted Spark optimization developer in Brazil (UTC-3)

You can better find out about my skills watching the video about my personal project, oxyEngine, in the link. Systems Engineer with a passion for Computer Graphics, Realtime Rendering, Scientific Computing and Video Game Technology. Has special interest in working with geometric and physics algorithms and related data structures. The kind of job I'm looking for should impose challenges involving Mathematics, Science and Creativity.

Code optimizationConcurrent ProgrammingC++Teaching ProgrammingPolymorphismFilm TeachingVisual StudioDebuggingVisual C++Object-Oriented ProgrammingSystem designAgileLogical reasoningOffice SoftwareDesign PatternsBoost c++ librariesPhysicsGame PhysicsGraphicsGame Engine Development
+14
Visual Studio, Debugging, Visual C++, Object-Oriented Programming, System design, Agile, Logical reasoning, Office Software, Design Patterns, Boost c++ libraries, Physics, Game Physics, Graphics, Game Engine Development
Spark optimization developers in Brazil - Caio S.
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Caio S.

Vetted Spark optimization developer in Brazil (UTC-3)

As a data engineer I'm driven by solving problems with the most clean and efficient solution, I am passionate about working with data in many different levels. With experience from collecting data all the way to creating dashboards and drawing insights I can reliably take in consideration the wider scope of any process do design and implement data driven solutions.

Apache SparkETLAzurePythonPostgreSQLCI/CDMicrosoft FabricSQLData EngineeringPandasAlteryxTableau DesktopDatabricksDAXPower BIPower systemsSAPSAP MMLogisticsSap pp
+13
SQL, Data Engineering, Pandas, Alteryx, Tableau Desktop, Databricks, DAX, Power BI, Power systems, SAP, SAP MM, Logistics, Sap pp
Spark optimization developers in Brazil - Matheus Z.
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Matheus Z.

Vetted Spark optimization developer in Brazil (UTC-3)

Hello, my name is Matheus and I am a full stack developer with experience in the finance industry. I have more than 5 years of experience in developing and maintaining backend systems for financial institutions using Node.js and TypeScript. I have experience in building and deploying high-performance and scalable servers utilizing modern Javascript language features. I am familiar with popular Node.js frameworks such as Express.js, Nest.js and well-versed in Object-oriented concepts and design patterns that help me to structure and maintain my codebase. Also, I have experience with database technologies like MySQL, MongoDB and well-versed in version control systems like git.

Apache SparkNode.jsTypeScriptReactSQLJavaScriptJestReduxAWSPostgreSQLSpring BootJava 8AWS LambdaRESTful APIApache MavenNestJSExpress.js
+10
Redux, AWS, PostgreSQL, Spring Boot, Java 8, AWS Lambda, RESTful API, Apache Maven, NestJS, Express.js

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Why clients hire Spark optimization 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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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 Spark optimization developers worldwide.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.

FAQs

Why hire a Spark optimization 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 Spark optimization 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 Spark optimization developers can help keep your website up-to-date.

How do I hire Spark optimization developers?

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

Where do I hire the best remote Spark optimization developers?

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

Some factors to consider when you hire Spark optimization 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 Spark optimization developers for hire.

How do I write a Spark optimization developer job description?

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

What skills should I look for in a Spark optimization developer?

The top five technical skills Spark optimization 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 Spark optimization 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 Spark optimization developers to keep up with evolving technology and requirements.

What kinds of Spark optimization developers are available for hire through Arc?

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

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

Every Spark optimization 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 Spark optimization 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 Spark optimization developer's skills?

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

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

How much does a freelance Spark optimization developer charge per hour?

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

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