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Timely AI

Data Engineer

Company: Timely AI

Location: Remote

Posted on: September 16

Data Engineer: Paid Part-Time + Remote + Visa Sponsorship Available (US Residence is required)

About Timely AI

Were building an all-in-one AI career platform to help job seekers land dream jobs 10 faster. Backed by the NVIDIA Inception, Google for Startups, Microsoft for Startups, were creating a more human-centered future of work, starting on campus.

Qualifications

  • Over 1 year of experience in data engineering, backend engineering, or related roles (internship or full-time, regardless of location)
  • Proficiency in Python (required) and familiarity with Java/Scala (preferred)
  • Hands-on experience with web scraping frameworks (Scrapy, Playwright, Selenium) and API integration
  • Strong knowledge of ETL/ELT pipelines and data workflow orchestration tools (Airflow, Prefect, Luigi, or similar)
  • Experience with databases (PostgreSQL, MongoDB, BigQuery, or similar) and cloud services (AWS, GCP, or Azure)
  • Ability to work independently and collaborate in a remote team environment
  • Bonus: Interest or experience in generative AI, job recommendation systems, or large-scale data pipelines

What You Will Gain

  • Practical experience designing scalable data pipelines at an AI startup, contributing to core infrastructure powering 10k+ job sources
  • Mentorship from experienced engineers, product managers, and data scientists, with opportunities to shape real product systems
  • Consideration for future full-time positions as Timely AI grows

Responsibilities

  • Design and maintain data pipelines to fetch job postings from 10k+ career sites
  • Implement web scraping and API-based ingestion systems to collect and normalize job data
  • Clean, standardize, and deduplicate datasets (job titles, companies, locations, salaries)
  • Build and manage storage solutions (SQL/NoSQL databases, cloud-based data lakes)
  • Develop and optimize workflow orchestration for large-scale scheduling (Airflow, Prefect, Spark)
  • Monitor, debug, and improve pipeline reliability, scalability, and performance

Benefits

  • Paid
  • Start date: End of Sept
  • Time Commitment: 20 hours/week

How to Apply

Submit your application through LinkedIn Easy Apply.

Application Deadline: 09/21/2025, Sunday

Applications will be reviewed on a rolling basis. Early applications are strongly encouraged for priority consideration.

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