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Remote Big Data Engineering Developers
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192 Remote Big Data Engineering developers and experts available to hire:

Big Data Engineering developers in the United Kingdom - Hubert D.
Hubert D.

Big Data Engineering developer in the United Kingdom (UTC+1)

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.

Big Data Engineering developers in the United Kingdom - Kenni O.
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Kenni O.

Vetted Big Data Engineering developer in the United Kingdom

Specialises in cloud data & analytics platform architecture, modernisation and deployment. I work well with stakeholders to quickly establish requirements, discover data stores, map out strategies, and identify key insights for the business to leverage on. PRINCE 2 Practitioner, Agile Projects. All things Data!"

Big Data Engineering developers in the United Kingdom - Maciej B.
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Maciej B.

Vetted Big Data Engineering developer in the United Kingdom

I am a software developer with over 12 years of experience, working mostly as Java/Scala back-end, distributed systems engineer. I graduated from Imperial College London in 2012 with First Class honours in Computing. During my studies I acquired an in-depth understanding of Object-Oriented programming, Data Structures, Algorithms and Software Design. For the past 12 years I have worked in the Investment Banking industry atMorgan Stanley as a back-end Java developer developing distributed, highly-scalable systems. I possess an in-depth knowledge of Java programming language and my expertise includes: * Software systems and architecture design * SiteReliability Engineering - building scalable, highly available systems * Multi-threading/concurrency * Performance optimisation * Cloud migration/deployments I have also been recently involved in training of AI models. As part of that role I am responsible for evaluating AI-generated responses to coding/reasoning questions, as well as generating and rating coding conversations with chat-bots in a classroom teaching style.

Big Data Engineering developers in the United Kingdom - Moses A.
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Moses A.

Vetted Big Data Engineering developer in the United Kingdom

Senior DevOps, DevSecOps, and Enterprise Architect with over 10 years in Architecting and Impementing Highly Performant, Highly Scalable and Highly Secure Systems that conform to Industry Best Practices. I have had the privilege of serving in the Health, Finance, Insurance, Manufacturing, Educational and Power sectors. I have also had hands on experience in designing and implementing Zero Trust Infrastructure, ISO 27001 and SOC II Compliant Architcture and Processes. I take pride in mentoring the younger generation and I have many success stories. I am very compatible with working within GMT -8 to GMT +3 timezones with 6 to 8 hour overlaps. Skills and Technology: C#, Python, Node.js, .Net Core, [ASP.Net](http://asp.net/) MVC, Worker Services, Django, Express.js, Microservices, Docker, APIs, Git, Jenkins, Octopus, CircleCI, Kubernetes, MongoDb, SQL Server, Elasticsearch, Redis, Service Bus, RabbitMQ, MySQL, PostgresDB, AWS, GCP, Azure, Agile, NoSQL, TDD, DevOps, DevSecOps, CICD, Biometrics, Team Management, System Admin, Mentor, ClickUp, JIRA, Terraform

Big Data Engineering developers in the United Kingdom - Teo P.
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Teo P.

Vetted Big Data Engineering developer in the United Kingdom

Hi, I am currently a Software engineer with expertise in building REST APIs, running AWS infrastructure and building data pipelines for companies in the banking, pharmaceutical and media industries. Previously, I taught data engineering concepts at University College London. My expertise includes working with the following technology stack: Python, FastAPI, Apache Spark, PostgreSQL, MongoDB, AWS, Apache Airflow, Docker, Jenkins, GitHub Actions, MLflow, Terraform, Kubernetes, ArgoCD, Argo Workflows and React.js.

Big Data Engineering developers in the United Kingdom - Ashwin R.
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Ashwin R.

Vetted Big Data Engineering developer in the United Kingdom

15+ years’ experience as Azure Data Architect, SQL Server Consultant, Data Engineer, & Database Developer across a wide range of sectors including Startups, Financial Services & Investment Banking, Healthcare, Insurance and Retail.

Big Data Engineering developers in the United Kingdom - Stefano P.
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Stefano P.

Vetted Big Data Engineering developer in the United Kingdom

Stefano Paluello began coding before reaching puberty when, one evening, his father took home a shiny new Commodore 64. He is a software engineering dropout from the Politecnico di Torino but recently shifted his focus to Mathematics, earning both his undergraduate and graduate degrees from the University of London. Before this, he was among the initial hires at a couple of fintech startups and held the position of CTO at a fully City-based digital asset exchange. Additionally, he has worked as a senior leader in finance, banking, and technology enterprises, and as a Software Development Engineer at Microsoft.

Big Data Engineering developers in the United Kingdom - Muhammad A.
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Muhammad A.

Vetted Big Data Engineering developer in the United Kingdom

**I strive my best to provide excellent customer service and will issue a full refund if I am not able to resolve your issue.** 13 years of information management experience in design, development, and optimization of data solutions using MS BI Stack, MS Azure Data Stack and Power BI, spanning across data processing (ETL) of large datasets and building dashboards and reports for data warehousing consultancy projects for clients across Australia, US, Canada, and Europe. **Technologies:** * Azure PaaS Data Stack - Azure SQL DB, Synapse Analytics, Data Factory with DevOps, Blob/Data Lake Storage, Azure Analysis Services * Power Platform - Power BI, Power Automate * ETL - MS BI Stack (SSIS/SSAS) * Databases - MS SQL Server, Oracle, MySQL **Certifications:** * Databricks Certified Data Engineer Associate * Microsoft Certified Azure Enterprise Data Analyst Associate (Power BI and Azure Synapse Analytics) * Microsoft Certified Data Analyst Associate (Power BI) * Microsoft Certified Azure Solutions Architect Expert * Microsoft Certified Azure Data Engineer Associate * Microsoft Certified Azure Data/AI/Power Platform Fundamentals * 70-463: Implementing a Data Warehouse with Microsoft SQL Server 2012/14 * Microsoft Certified Professional * 5 days training of Kalido Data Warehouse from Kalido Inc.

Big Data Engineering developers in the United Kingdom - Ilya B.
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Ilya B.

Vetted Big Data Engineering developer in the United Kingdom

Senior Backend with 8 years of experience Skilled Java Developer with proven expertise in developing large-scale, robust server-side applications. Expert in employing Domain-Driven Design to ensure coherent and high-performing software architecture. Experienced in complete Software Development Life Cycle (SDLC) including System Requirements Collection, Architecture, Design, Coding, Development, Testing. Always focused on goals and delivering success to rapidly evolving and dynamic environments. In my spare time, I love to work on building funny and sometime useless applications. Like: Electricity tracking system! Which could be run on any laptop and user could observe whether he has electricity at home or not. It was useful for the time when people in Ukraine didn't have permanent electricity at home. Or "Spy System", which records voice when somebody is talking in the room and send it to server. Or building framework for fast implementing Telegram bots. Or try solving vehicle routing problem, and many more. Some of them are public and could be found in my GitHub account: https://github.com/089-ilya

Big Data Engineering developers in the United Kingdom - ayoola M.
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ayoola M.

Vetted Big Data Engineering developer in the United Kingdom

Data Engineer with over 5 years of experience in developing Python-based solutions and leveraging Machine Learning algorithms to address complex challenges. I have a strong background in Data Integration, Data Warehousing, Data Modelling, and Data Quality. I excel at implementing and maintaining both batch and streaming Big Data pipelines with automated workflows. My expertise lies in driving data-driven insights, optimizing processes, and delivering value to businesses through a comprehensive understanding of data engineering principles and best practices. KEY SKILLS Python | SQL | PySpark | JavaScript | Google cloud platform (GCP) | Azure | Amazon web services (AWS) | TensorFlow | Keras | ETL | ELT | DBT | BigQuery | BigTable | Redshift | Snowflake | Data warehouse | Data Lake | Data proc | Data Flow | Data Fusion | Data prep | Pubsub | Looker | Data studio | Data factory | Databricks | Auto ML | Vertex AI | Pandas | Big Data | Numpy | Dask | Apache Beam | Apache Airflow | Azure Synapse | Cloud Data Loss Prevention | Machine Learning | Deep learning | Kafka | Scikit Learn | Data visualisation | Tableau | Power BI | Django | Git | GitLab |

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Why clients hire Big Data Engineering 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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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 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 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 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 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 developers 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 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 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 developers.

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 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 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 developers, read our Engineer Job Description Guide & Templates.

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

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 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 developers 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 developers, 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 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. 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 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 Engineering developer's 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 450,000 candidates. You can also expect to hire a freelance Big Data Engineering developer in 72 hours, or find a full-time Big Data Engineering 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 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 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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