
Data Engineer
5 days ago
Crossing Hurdles is a recruitment firm. We refer top candidates to our partners working with the worlds leading AI research labs to help build and train cutting-edge AI models.
Position: Data Engineer
Type: Full-time Position
Compensation: $20,000 - $100,000/year
Location: Remote
Duration: Permanent
Role Responsibilities (Training support will be provided) :
- 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 and platforms.
- Strong understanding of data modeling, schema design, and transformation best practices.
- Familiarity with data governance, monitoring, and quality assurance tools and processes.
- Ability to work effectively across engineering, product, and operations teams.
- Bonus: prior experience supporting machine learning workflows or analytics platforms.
- Access to a desktop or laptop computer (Chromebooks are not supported).
Application Process : Once youve applied, well review your application and get back to you within 24-48 hours with an update on the next steps.
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