Data Engineer | $14/hr Remote

0 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Remote

Job Type

Contractual

Job Description

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Role Responsibilities

  • Design, build, and maintain scalable ETL/ELT pipelines to support analytics and machine learning workflows.
  • Validate, enrich, and serve datasets to ensure reliability, reproducibility, and ML readiness.
  • Define and manage schemas, data contracts, and versioning with strong discipline.
  • Work with relational databases such as PostgreSQL and SQLite.
  • Implement distributed data processing using tools like Spark or DuckDB.
  • Orchestrate and monitor workflows using Airflow or similar scheduling tools.
  • Optimize pipeline performance and resilience using Python, pandas, and SQL.
  • Collaborate with researchers and engineers to align data pipelines with AI research and production needs.


Requirements

  • Background in computer science, data engineering, or information systems.
  • Proficiency in Python, pandas, and SQL.
  • Hands-on experience with PostgreSQL, SQLite, or similar databases.
  • Understanding of distributed data processing frameworks such as Spark or DuckDB.
  • Experience orchestrating workflows with Airflow or comparable tools.
  • Familiarity with common data formats including JSON, CSV, and Parquet.
  • Strong focus on schema design, data quality, and version control using Git.
  • Ability to work independently in a remote, project-based environment.


Application Process (Takes 20 Min)

  • Upload resume
  • Interview (15 min)
  • Submit form

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Crossing Hurdles

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