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Arc helps you find and hire top freelance Big Data Engineering engineers for your jobs. With 6,795 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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Ayan Q., Big Data Engineering developer for hire
Ayan Q.
Pakistan
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Freelance Big Data Engineering Developer

Python Developer with over four years of experience in AWS and big data technologies. Skilled in designing robust, scalable solutions and developing efficient, resilient applications. Adept at translating complex business requirements into effective technical solutions and passionate about using technology to address complex challenges and help people.

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Hafiz S., freelance Big Data Engineering developer
Hafiz S.
Pakistan
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Senior Freelance Big Data Engineering Developer

* Bachelor’s degree in Computer Science with over 16 years of experience in software development, specializing in the analysis, design, and development of software applications. * Earned multiple certifications in AWS (Solutions Architect, Data Analytics, Database) and Databricks Spark. * Proficient in data modeling, data architecture, data warehousing, and business intelligence. * Expert in big data solutions on AWS and familiar with Azure data services including Data Lake, Data Factory, Databricks, and Synapse Analytics. * Extensive experience in ETL processes and data transfer technologies, with strong knowledge of both logical and physical database modeling methods. * Demonstrated project leadership, managing database management and ETL projects from concept to implementation. * Experienced in designing and developing data lake and big data solutions utilizing AWS (Redshift, Glue, DynamoDB) and Azure (Synapse Analytics, Data Factory). * Proficient in migrating data from on-premise environments to AWS, including Oracle and SQL Server to AWS EC2 and RDS (Aurora MySQL & PostgreSQL). * Strong adaptability and problem-solving skills, with experience working in Agile environments applying the Scrum methodology.

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Lucas N., freelance Big Data Engineering developer
Lucas N.
Portugal
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Senior Freelance Big Data Engineering Developer

Senior Data Engineer with experience in digital transformation, migration, and data analytics within the financial and IT consulting sectors. Expert in collaborating with business teams and stakeholders to identify and implement operational improvements through data and IT solutions. Proven ability in developing teams through mentoring and guiding on business tools, programming languages, and domain knowledge, driving continuous improvement and professional growth. Technical Skills: \- Cloud Platforms: Google Cloud Platform (Certified Professional Data Engineer), Microsoft Azure (Certified Data Engineer) \- Data / Software Engineering: Data warehousing, ETL/ELT, data pipelines, data modeling, SQL, Python, Spark, Pyspark, software development lifecycle. \- Data Analytics: Data exploration, statistical analysis, data visualization, \- Project Management: Agile methodologies

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Lilit G., freelance Big Data Engineering developer
Lilit G.
Armenia
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Senior Freelance Big Data Engineering Developer

I am an accomplished technical lead with more than 11 years of hands-on experience in designing, implementing, and overseeing backend systems. My expertise also extends to over 5 years of specialization in creating and implementing AWS cloud data engineering solutions. Throughout my career, I have consistently delivered successful data projects, optimized data pipelines, and maintained data quality and integrity. My skills include the design of scalable and efficient data architectures, making effective use of various AWS services, such as Cognito, S3, Kinesis, Lambda, Glue, Athena, Redshift, QuickSight, EventBridge, and CloudWatch. I have a strong track record in building and leading teams in a startup environment, contributing to the development of innovative products and solutions. My commitment to staying up-to-date with the latest industry trends and technologies ensures that I can provide the best solutions and leadership for any data engineering and backend system challenges.

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Pedro S., freelance Big Data Engineering developer
Pedro S.
Brazil
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Freelance Big Data Engineering Developer

Software engineer for more than 19 years. Data engineer/Big Data experience (1 year, 3 months). Backend (.NET, Java, Scala): 17 years. Frontend (ReactJS, AngularJS, JavaScript): 8 years. Data Engineering (Spark, Databricks, Azure): 1 year, 3 months. Enrolled in Cybersecurity (1st Semester) for an Associate Degree - 2024 - 2026. Certified on Microsoft Azure Fundamentals. Proficient in: \- C#, .NET, LINQ, [ASP.NET](http://asp.net/), WinForms, PowerShell, Java, Scala, Sbt, Python, PyTest, GRPC, API, REST, SOAP, XML, XSLT, NUnit, Dependency Injection \- Azure, AWS, Jenkins, CI/CD, Docker, Azure DevOps, Azure Pipelines, Kusto (KQL) \- Apache Spark, PySpark, Data Lake, Kafka, Databricks, ETL, SSIS (SQL Server Integration Services), CSV, Spark SQL, RDD, HDFS, Data Factory, Relational Modeling, SQL Server, MySql, Azure Synapse, HD Insights, SQL, JSON \- JavaScript, HTML, CSS, jQuery, ReactJS, AngularJS Interested in the Scala language and functional programming. GitHub: [https://github.com/pedroos](https://github.com/pedroos) Website: [https://www.pedro.sobota.nom.br](https://www.pedro.sobota.nom.br/)

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harshit G., Big Data Engineering freelance developer
harshit G.
India
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Freelance Big Data Engineering Developer

**Experienced Big Data Engineer with a proven track record of 2.4 years, excelling in designing and implementing efficient ETL processes. Proficient in AWS Cloud, PySpark, Python, SQL, Apache Spark, Data Warehouse, Data Modeling, Power BI and Git.**

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Folco B., freelance Big Data Engineering developer
Folco B.
Italy
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Senior Big Data Engineering Developer

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.

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Aniceto J., Big Data Engineering freelance developer
Aniceto J.
Brazil
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Senior Freelance Big Data Engineering Developer

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.

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Marcel P., freelance Big Data Engineering programmer
Marcel P.
Brazil
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Senior Freelance Big Data Engineering Developer

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
+144
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Chinmay M., Big Data Engineering freelance developer
Chinmay M.
India
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Freelance Big Data Engineering Developer

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.

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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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