Software Engineer | $100K/year Remote | Mercor

Crossing Hurdles Logo
Crossing Hurdles
  • Engineering
  • FullTime
  • Applications have closed

Crossing Hurdles is a referral partner. We connect & refer top candidates to Mercor that working with the world’s leading AI research labs to help build and train cutting-edge AI models.

Organization: Mercor

Position: Data Engineer

Referral Partner:Crossing Hurdles

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(15 min)

  • Upload resume
  • Participate in AI interview (10 min)
  • Submit form