Big Data Engineer

What you'll do

The listed work is classic data engineering:

• Designing and maintaining large-scale data pipelines and architectures
• Integration, transformation and processing in Python on big data frameworks
• Running and tuning distributed databases and storage
• Monitoring and troubleshooting for availability and performance
• Enforcing data quality, security and governance
• Documenting and explaining the systems to technical and non-technical people

The ad connects this to AI only through micro1's standard line about helping train next-generation AI systems. Pipelines are where training data lives, so the link is plausible, but whether you would build data infrastructure for a model or create tasks that test a model's data engineering skill is not said. Ask.

Who fits

• Proven hands-on experience building large pipelines
• Advanced Python for processing, automation and integration
• Strong relational and NoSQL database skills
• Distributed processing frameworks such as Hadoop, Spark or Flink
• Data modelling, ETL and warehousing fundamentals
• Clear communication and self-direction in remote work

Cloud big data platforms (AWS, GCP, Azure), startup experience and MLOps familiarity are preferred.

What it pays

$30–80/hour, micro1's published band. That is the lowest range among micro1's backend and data engineering listings in this set, so for experienced engineers the floor is well under market. No pay mechanism, hours or duration are stated.

Worth knowing

Good:

• 50 openings
• Mainstream data engineering stack, no AI background required
• Remote contractor work

Less good:

• A low $30 floor for the seniority described
• How the work trains AI is not explained
• No hours, duration or pay mechanism published
• Contractor engagement: no benefits, no notice period, your own tax to manage

About this listing

Posted by micro1 on its own jobs portal about ten days before we read it on 24 September 2026. The band and requirements are micro1's text; location is "Remote" with no country named. See micro1.