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Data Engineer

Aryng is a data analytics consulting and training company providing data solutions and expertise to businesses.
Data
Mid-Level Software Engineer
Remote
3+ years of experience
Enterprise SaaS · Data
This job posting is no longer active.

Job Description

Aryng is seeking a Data Engineer to join their team in a fully remote capacity. This role requires a professional with strong technical expertise in data engineering, including proficiency in SQL, Python, and cloud technologies. The position demands overlap with US time zones, specifically from 8 AM to 1 PM PST, making it ideal for candidates who can maintain these working hours.

The ideal candidate will bring at least 3 years of hands-on data engineering experience, with a strong foundation in SQL (2+ years) and demonstrated expertise in cloud technologies including GCP/AWS/AZURE. They should be comfortable working with cloud databases and implementing data engineering solutions.

This role offers an opportunity to work with clients directly, requiring strong communication skills and the ability to collaborate effectively in a remote environment. The company offers competitive compensation with up to a 25% salary increase based on experience and skillset.

Working at Aryng means joining a team that values technical expertise, client interaction, and the ability to work independently while maintaining strong collaboration across time zones. The position offers the flexibility of remote work while requiring dedication to maintaining consistent overlap hours with US-based clients.

The successful candidate will be responsible for designing, implementing, and maintaining data engineering solutions, working closely with both the internal team and clients to ensure successful project delivery. This role is perfect for a data engineer who thrives in a client-facing role and enjoys the autonomy and flexibility of remote work.

Last updated 3 months ago

Requirements For Data Engineer

Python
  • 3+ years of hands-on experience as a Data Engineer
  • 2+ years of experience in SQL
  • Experience with Python
  • Experience with cloud databases
  • Experience with Cloud tech stack (GCP/AWS/AZURE)
  • Ability to work during US overlap hours (8 am - 1 pm PST)
  • Comfortable working and interacting with clients
  • Willing to work in a remote setting