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Arc helps you find and hire top freelance Big Data Engineering engineers for your jobs. With 6,998 Big Data Engineering programmers available for hire on a freelance basis, we have one of the largest network of vetted talent. Our Silicon Valley-caliber vetting process helps ensure that you hire freelance Big Data Engineering developers and experts that you can trust.

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Aniceto J., Big Data Engineering freelance developer
Aniceto J.

Freelance Big Data Engineering developer in Brazil

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.

Folco B., freelance Big Data Engineering developer
Folco B.

Big Data Engineering developer in Italy

Motivated and highly professional specialist with years of experience in Data Analysis and Architecture. Proven experience in the fields of Data Management, Analytics, DWH, BI, CRM, EPM and Credit Risk. Capable of undertaking different roles: PM, Business Analyst, Data Architect/Engineer/Analyst and Developer. Always interested in new challenges and in the acquisition of new skills and competencies.

Marcel P., freelance Big Data Engineering programmer
Marcel P.

Freelance Big Data Engineering developer in Brazil

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

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

Freelance Big Data Engineering developer in India

Application Developer in a wide variety of business applications. Particularly interested in server side technologies. Experienced in Java J2EE web application development including Content Management System (Alfresco), Portal Applications (Liferay and SharePoint). Experience in interfacing different business application using middleware servers (BizTalk, SSIS). Experience in Big Data Implementation using Spark, Scala, Hive, Hbase, and Pig. Experience in various domain like banking (credit card application), media & entertainment, Logistic and manufacturing. Specialties: Big Data Application implementation in Scala and spark using Horton works platform. Design and Implemented projects with data load up to 1 TB per hour with complex transformation.

Rafael F., freelance Big Data Engineering programmer
Rafael F.

Freelance Big Data Engineering developer in Brazil

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.

Shartul K., Big Data Engineering freelance developer
Shartul K.

Freelance Big Data Engineering developer in India

### 15 years Hands-on experience to multiple tech stacks to accomplish task in the area of Cloud and Devapps architect design, pricing, optimization and implementation

Chad M., Big Data Engineering developer for hire
Chad M.

Freelance Big Data Engineering developer in the United States

I went from taking my toys apart to programming at age 10 and haven't looked back (mostly). A few years ago I took a hiatus to complete a postbac premed program and get into medical school. At the time I was searching for more fulfilling work and throughout the process I realized engineering was my passion. After turning down medical school, I returned to technology with renewed vigor. Since my return I have been someone who spends most of their time staring at code (some of it very, very old) at Columbia University, a Principal Software Engineer for Retail at Warby Parker, a CTO at Apploi, a Software Engineer at Curalate, Technical Lead at GrubHub, a Senior Software Engineer at Apple, Spotify, and now back to Apple. I love all aspects of software development but am at my best when I am hands-on.

Hubert D., freelance Big Data Engineering programmer
Hubert D.

Freelance Big Data Engineering developer in the United Kingdom

With a PhD from UCL in Machine Learning and Digital Signal Processing for Optics, I developed practical algorithmic solutions for the next-gen cloud infrastructure with partners such as Microsoft Research. Now an Associate Financial Engineer/Analyst, I research data-driven models and analytics, bridging high-tech solutions with quant finance. I am passionate about applying quantitative and engineering skills to solve 'impossible' challenges using the latest technologies.

Rahul B., freelance Big Data Engineering developer
Rahul B.

Freelance Big Data Engineering developer

I’m a Software engineer at heart. I love building software that is easy to use and simplifies lives. I am currently associated with Amazon India as SDE 2. Prior to Amazon, I have worked with BookMyShow, the largest ticketing company in India and an ed-tech start-up aimed at helping Universities in the United States. With over 7+ years of experience working in B2B as well as B2C setups, I have lead multiple teams, created end to end software solutions. Some of them are Real-time streaming platform for Amazon, Big Data platform, chat application using cutting edge technologies at BookMyShow. While at BookMyShow, I lead the team building WhatsApp integration and were first ones across the globe to do so. Apart from this, I have lead teams and worked on building Facebook Chatbot, Alexa Skill and a Chat platform from ground up. You can find more details about the projects in my Linked profile: https://www.linkedin.com/in/rahulbhanushali/. As a software engineer, I believe it's necessary for us to evolve and learn new technologies coming out every day and choose the one that best fits the requirement. Having closely worked with designers, I have an eye for design and UX, ensuring what I build is not only usable but a delightful experience.

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FAQs

Why hire a Big Data Engineering 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 Engineering developer, multiple developers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Big Data Engineering developers can help keep your website up-to-date.

How do I hire Big Data Engineering developers?

To hire a Big Data Engineering 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 Engineering developers effectively and efficiently. Hire full-time Big Data Engineering 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 Engineering engineers in 72 hours, with weekly payments.

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

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

There are two types of platforms you can hire Big Data Engineering programmers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Big Data Engineering 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 Engineering developers, consider niche platforms like Arc that naturally attract and carefully vet their Big Data Engineering developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Big Data Engineering developer candidates.

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

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

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

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

Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Big Data Engineering 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 Engineering programmers, read our Software Engineer Job Description Guide & Templates.

What skills should I look for in a Big Data Engineering engineer?

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

Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Big Data Engineering 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 Engineering developers to keep up with evolving technology and requirements.

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

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

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

Lastly, our remote-ready Big Data Engineering 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 Engineering developers?

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

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

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

How does Arc vet a developer’s Big Data Engineering skills?

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

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

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

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

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

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

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

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

Your remote Big Data Engineering 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 Engineering developers, check out our FAQs page.

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