Data Engineer (Remote)

Crossing Hurdles

Position:

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Compensation:

Location:

Duration:

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 :