Want to get hired at Crossing Hurdles?

Data Engineer

Crossing Hurdles

HybridHybrid

Original Job Summary

About Crossing Hurdles

Crossing Hurdles is a recruitment firm that refers top candidates to our partners working with the world’s leading AI research labs to build and train cutting-edge AI models.

Position Overview

The Data Engineer position is a full-time, remote role with compensation up to 100,000 USD per year. Training support will be provided.

Role Responsibilities

  • Build robust data pipelines to ingest, transform, and consolidate data from diverse sources including MongoDB, Airtable, PostHog, and production databases.
  • Design dbt models and transformations to unify disparate data tables into clean, production-ready schemas.
  • Implement scalable, fault-tolerant workflows using Fivetran, dbt, SQL, and Python.
  • Collaborate with engineers, data scientists, and business stakeholders to ensure data availability, accuracy, and usability.
  • Own data quality and reliability across the entire data stack from ingestion to consumption.
  • Continuously improve pipeline performance, monitoring, and scalability.

Requirements

  • Proven experience in data engineering with strong proficiency in SQL and Python.
  • Experience using modern data stack tools like Fivetran, dbt, Snowflake, or similar platforms.
  • Skilled in building and maintaining large-scale ETL/ELT pipelines across heterogeneous data sources.
  • Strong understanding of data modeling, schema design, and transformation best practices.
  • Familiarity with data governance, monitoring, and quality assurance tools and processes.
  • Bonus: Experience supporting machine learning workflows or analytics platforms.
  • Access to a desktop or laptop computer (Chromebooks are not supported).

Application Process

Submit your resume highlighting relevant data engineering experience. Selected candidates will proceed with interview and onboarding steps. Compensation and role details will be shared during the process.

Key skills/competency

  • Data pipelines
  • SQL
  • Python
  • dbt
  • Fivetran
  • ETL/ELT
  • Data Modeling
  • Data Governance
  • Scalability
  • Collaboration

How to Get Hired at Crossing Hurdles

🎯 Tips for Getting Hired

  • Research Crossing Hurdles' culture: Study mission and recent partner collaborations.
  • Tailor your resume: Highlight SQL, Python, and data pipeline experience.
  • Prepare for technical interviews: Practice dbt, ETL, and data modeling challenges.
  • Showcase collaboration skills: Emphasize your cross-functional project experience.

📝 Interview Preparation Advice

Technical Preparation

Review SQL and Python fundamentals.
Practice building ETL pipelines.
Study dbt model creation.
Learn Fivetran integration basics.

Behavioral Questions

Describe teamwork in previous projects.
Explain problem-solving under pressure.
Discuss handling project disagreements.
Share cross-department collaboration experience.