Data Engineer

@ Crossing Hurdles

Data Engineer at Crossing Hurdles

Crossing Hurdles is a recruitment firm that refers top candidates to partners working with the world’s leading AI research labs. This full-time remote Data Engineer role involves building and training cutting-edge AI models.

Role Responsibilities

• Build robust data pipelines to ingest, transform, and consolidate data from sources like 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.
• Continuously improve pipeline performance, monitoring, and scalability.

Requirements

• Proven experience in data engineering with strong proficiency in SQL and Python.
• Experience with modern data stack tools like Fivetran, dbt, Snowflake, or similar platforms.
• Skilled in building and maintaining large-scale ETL/ELT pipelines.
• Strong understanding of data modeling, schema design, and transformation best practices.
• Familiarity with data governance, monitoring, and quality assurance.
• Ability to work effectively across engineering, product, and operations teams.
• Bonus: Experience supporting machine learning workflows or analytics platforms.
• Access to a desktop or laptop computer (no Chromebooks).

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

• SQL
• Python
• ETL
• dbt
• Fivetran
• Data Pipelines
• Data Modeling
• Data Quality
• Scalability
• Collaboration