Job Description
At Crossing Hurdles, we work as a referral partner. We refer candidates to our partner that collaborates with world’s leading AI research labs to build and train cutting-edge AI models.Position: Data EngineerType: Full-time PositionCompensation: $20,000–$100,000/yearLocation: RemoteDuration: PermanentRole 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 databasesDesign dbt models and transformations to unify disparate data tables into clean, production-ready schemasImplement scalable, fault-tolerant workflows using Fivetran, dbt, SQL, and PythonCollaborate with engineers, data scientists, and business stakeholders to ensure data availability, accuracy, and usabilityOwn data quality and reliability across the entire data stack from ingestion to consumptionContinuously improve pipeline performance, monitoring, and scalabilityRequirementsProven experience in data engineering with strong proficiency in SQL and PythonExperience using modern data stack tools like Fivetran, dbt, Snowflake, or similar platformsSkilled in building and maintaining large-scale ETL/ELT pipelines across heterogeneous data sources and platformsStrong understanding of data modeling, schema design, and transformation best practicesFamiliarity with data governance, monitoring, and quality assurance tools and processesAbility to work effectively across engineering, product, and operations teamsBonus: prior experience supporting machine learning workflows or analytics platformsAccess to a desktop or laptop computer (Chromebooks are not supported)Application Process (15 min)Upload resumeParticipate in AI interview (10 min)Submit form
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