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Vetted Data Engineering developer in Singapore (UTC+8)
With more than four years in data, I work on the entire engineering process, from collecting to analyzing. Experienced in Python, SQL, and Spark, I build data pipelines and optimize workflows for quality and scalability. Whether in warehousing or modeling, I enjoy solving complex issues creatively. Besides technical expertise, I excel in dynamic settings, collaborating across teams to turn business needs into scalable data solutions
Vetted Data Engineering developer in Singapore (UTC+8)
Experienced software engineer focused in back end system, data engineer. I worked 5 years in software development in Europe, Singapore. \- Software engineer, offers from FAANG \- 4y+ experience in backend, data, devops, ML, AI \- Java, Golang, Node.js, SQL, CD/CI, AWS
Data Engineering developer in Singapore (UTC+8)
I have a Diploma in Data Science from SIM University and a Bachelor's Degree from the Indian Institute of Technology. I have experience as an Analytics Consultant and Lead Business Intelligence Analyst, where I implemented metrics and KPIs, optimized ad campaigns, and created efficient databases and dashboards. I also have experience in fraud detection, pricing analysis, and conducting POC
Data Engineering developer in Singapore (UTC+8)
I design and automate Azure solutions to drive efficiency, scalability, and security, with expertise in cloud migrations, infrastructure automation (Terraform, Bicep, ARM), and secure workloads (OWASP ZAP, RBAC). Highlights include reducing ops time by 40% through YAML-based pipelines, creating self-service tools with PowerShell and Python, and optimizing costs with automated Azure Budget alerts. Skilled in governance, scalability, and enabling seamless cloud adoption.
Data Engineering developer in Singapore (UTC+8)
I'm a data scientist with a strong belief in proper software engineering and architecture. I'm fluent (self-taught!) in both Python and Scala, and have taught Python classes from the very basics. I believe in learning something new every day, and that you can always improve.
Vetted Data Engineering developer in Singapore (UTC+1)
Hi there! I am a Data scientist/ AI engineer with 6 years of experience in natural language processing, big data and Gen AI. ➕My value add to Dun and Bradstreet: Spearheaded and deployed end to end machine learning and AI projects in the Adtech domain generating 1M-6M in revenue on both AWS and Google Cloud Platform. 💻Deployed GenAI project using LLM with Retrieval Automated Generation (RAG) for generating audience segment recommendations on Google Cloud. ✍️Designed system architecture and processed big data (few TB) daily using pyspark and snowflake. Launched demographic precision segments product increasing access to high quality demographic data. Credentials🎓: Graduated from Georgia Institute of Technology with a Masters in Analytics, certified Google Machine Learning Engineer
Data Engineering developer in Singapore (UTC+8)
Data Engineer by training. More than 10 years working experience dealing with software in RStudio, Python, Visual Studio Code, Databricks, Azure Services, Power Platform (Automate, Dataverse, Apps, Power BI, etc)
Data Engineering developer in Singapore (UTC+8)
To obtain an essential position in a progressive organization where I can demonstrate my skills and expertise in the field of IT, particularly in Software Engineering
Vetted Data Engineering developer in Singapore (UTC+8)
As someone who comes from a non-computer science background, I understand the doubts that can come with making a career switch. However, I'm excited to share my personal experience of successfully transitioning into the tech industry, particularly within the fintech sector. Over the past five years, I have gained valuable experience working in a variety of environments, from small and agile teams to large-scale projects that serve millions of users. Through these experiences, I've gained a deep understanding of the industry and the skills required to succeed in it. I am passionate about sharing my knowledge and experiences with others, and I truly believe that the mentor-mentee relationship is a powerful tool for growth and development. So, I'm looking forward to connecting with you, sharing insights and helping each other to achieve our goals in this exciting industry.
Vetted Data Engineering developer in Singapore (UTC+8)
Hi There I am Madhav. Hope you are doing great and life's treating you well. I am a tech Lead with 10 years of experience building scalable and maintainable software systems for SaaS across various industries such as AI, Workflow Orchestration, and Retail Price Intelligence. I am comfortable working in both styles as an "independent contributor" or "working with a team". My previous experience includes building backend systems/APIs in various languages (Ruby, Python, Java) for microservices, creating and managing infrastructure across AWS following Infrastructure as a Code principles, and designing the architecture of various components involved in an AI recruiting assistant. I firmly believe in clear communication and engagement with client to align on measurable deliverables and making sure it's delivered in time with accountability. I am looking forward to hear from you and understand more about this role. I will be happy to understand how can I help you in building the next Big Thing. Talk to you soon. Cheers!
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Ready to hire your ideal Data Engineering developers?
Get startedArc offers pre-vetted remote software developers skilled in every programming language, framework, and technology.
Look through our popular remote developer specializations below.
Arc helps you build your team with our network of full-time and freelance Data Engineering developers worldwide.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.
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 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 Data Engineering developers can help keep your website up-to-date.
To hire a 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 Data Engineering developers effectively and efficiently. Hire full-time 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 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 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 Data Engineering developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire 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 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 Data Engineering developers, consider niche platforms like Arc that naturally attract and carefully vet their Data Engineering developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Data Engineering developers.
Some factors to consider when you hire 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 Data Engineering developers for hire.
Writing a good Data Engineering developer job description is crucial in helping you hire 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 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 Data Engineering developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills 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 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 Data Engineering developers to keep up with evolving technology and requirements.
You can find a variety of 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 Data Engineering developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote 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 Data Engineering developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled 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 Data Engineering developers.
Every 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 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.
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted 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 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 Data Engineering developers, you can rest assured that all remote Data Engineering developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.
Arc pre-screens all of our remote Data Engineering developers before we present them to you. As such, all the remote 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 Data Engineering developer in 72 hours, or find a full-time 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 Data Engineering developers.
Depending on the freelance developer job board you use, freelance remote Data Engineering developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find 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 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.
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 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 Data Engineering developers, check out our FAQs page.