Data Engineer — United States — LinkedIn — 4490202241

Junior / Mid

• Full-time / Part-timeRemote

• UAE or USA

You'll build and run the pipelines that bring market and alternative data into our research and our proprietary trading and risk model.

About xJ3t eXUJC

xJ3t eXUJC is a proprietary trading company with a simple mission: give aspiring traders the training, technology, and community they need to succeed, and let them focus on what they do best. We provide the environment; our traders bring the curiosity. Together, we win.

What you'll do

• Build and maintain ingestion pipelines for market data, economic releases, and satellite, weather, news and social media data.

• Design schemas and storage for time-series and alternative data.

• Keep the data complete and correct with validation, monitoring and alerts on gaps, delays and outliers.

• Handle time zones, trading sessions, contract rolls and data revisions so research works from correct timestamps.

• Give the quant researchers fast, reproducible access to clean datasets.

• Evaluate new data vendors on coverage, history, latency and cost.

• Run the pipelines in the cloud and keep their costs under control.

Tech stack

• Python

• SQL

• PostgreSQL

• AWS

• Google Cloud

What we're looking for

• Junior: recent graduates and current students in computer science or a related field, with at least one data pipeline you built yourself.

• Mid: 2+ years building data pipelines in production.

• Strong Python and SQL.

• Experience with PostgreSQL or another relational database, including schema design and query performance.

• Experience scheduling and monitoring batch jobs.

• Experience with AWS or Google Cloud.

• Clean, tested code kept under version control (Git).

• You check your data before others rely on it.

• You work in a structured way, pay attention to detail and can work independently.

• Good written and spoken English.

Nice to have

• Experience with financial market data and data vendor APIs.

• Experience with time-series databases or columnar formats such as Parquet.

• Experience with streaming data.

• Experience processing geospatial, weather or text data at scale.

• Experience with Docker and CI/CD.

• Experience with Claude Code or other AI development tools.

What we offer

• Competitive compensation.

• Access to leading commercial AI models and our in-house tools.

• Mentoring tailored to your career track and needs.

• Responsibility for your own area of the product.

• Career progression based on performance.

• Training and networking opportunities.