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- Tasks: Design and optimise data pipelines using cutting-edge technologies like Hadoop and Spark.
- Company: Join a dynamic team at Data Freelance Hub, focused on innovation.
- Benefits: Earn $60/hr with flexible remote hours and opportunities for growth.
- Why this job: Make an impact in AI by building scalable data architectures.
- Qualifications: BSc in a related field and hands-on experience with big data tools.
- Other info: Collaborative remote environment with a focus on professional development.
The predicted salary is between 13 - 22 £ per hour.
This role is for a Data Engineer – AI Trainer, offering $60/hr on a remote, hourly contract for 10 to 40 hours per week.
Key skills include:
- Hadoop
- Spark
- Kafka
- Cloud platforms
Requirements:
- BSc in Computer Science, Data Engineering, or a closely related field.
- Strong hands-on experience with big data technologies including Hadoop and Spark.
- Proven expertise using Kafka for real-time data streaming and integration.
- Solid background in data engineering with experience building and scaling ETL pipelines.
- Practical experience working with major cloud platforms such as AWS, GCP, or Azure.
- Proficiency in programming or scripting languages such as Python, Scala, or Java.
- Excellent written and verbal communication skills with the ability to explain complex technical concepts.
- Strong problem-solving and troubleshooting skills in distributed systems.
- Ability to work independently in a fully remote, collaborative environment.
Responsibilities:
- Design, develop, and optimize large scale data pipelines using Hadoop, Spark, and related big data technologies.
- Build and maintain scalable data architectures that support AI model training and analytics workloads.
- Integrate and manage real-time data streams using Kafka, ensuring data reliability and quality.
- Deploy, orchestrate, and monitor distributed data processing systems on cloud platforms.
- Collaborate closely with data scientists and machine learning engineers to enable AI and LLM initiatives.
- Document complex data workflows and create clear training materials for technical teams.
- Enforce best practices across data engineering, including performance optimization, security, and scalability.
- Support AI and generative AI use cases through high-quality data curation and pipeline design.
Application Process:
- Upload resume
- Interview (15 min)
- Submit form
Data Engineer | $60/hr Remote employer: Data Freelance Hub
Contact Detail:
Data Freelance Hub Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer | $60/hr Remote
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you directly to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Hadoop, Spark, and Kafka. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts clearly, as communication is key in this role. We recommend doing mock interviews with friends or using online platforms.
✨Tip Number 4
Don't forget to apply through our website! It’s quick and easy, and we’re always looking for talented individuals like you. Plus, it gives you a better chance of being noticed by our team!
We think you need these skills to ace Data Engineer | $60/hr Remote
Some tips for your application 🫡
Tailor Your Resume: Make sure your resume highlights your experience with Hadoop, Spark, and Kafka. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background makes you a perfect fit for this role. Let us know what excites you about working with AI!
Showcase Your Technical Skills: When filling out your application, be specific about your technical skills. Mention your experience with cloud platforms and any programming languages you’re proficient in. We love seeing candidates who can hit the ground running!
Apply Through Our Website: Don’t forget to apply directly through our website! It’s the easiest way for us to review your application and get back to you quickly. Plus, we’re excited to see what you bring to the table!
How to prepare for a job interview at Data Freelance Hub
✨Know Your Tech Inside Out
Make sure you’re well-versed in Hadoop, Spark, and Kafka. Brush up on your cloud platform knowledge too! Be ready to discuss specific projects where you've used these technologies, as this will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in distributed systems. Think of a time when you optimised a data pipeline or resolved a data quality issue. This will demonstrate your troubleshooting skills and ability to think critically.
✨Communicate Clearly
Since you'll be collaborating with data scientists and machine learning engineers, practice explaining complex concepts in simple terms. This will highlight your excellent communication skills and ensure everyone is on the same page during discussions.
✨Be Ready for Remote Work Questions
As this role is fully remote, expect questions about your experience working independently. Share how you manage your time and stay productive in a remote environment. Highlight any tools or strategies you use to collaborate effectively with teams.
