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MercorMercorSan Francisco, CA

Data Engineer

Builds and maintains scalable data pipelines for ingestion, transformation, and reliability using SQL, Python, dbt, and Fivetran to support data science, engineering, and product teams. Requires proven data engineering experience with modern data stack tools.

130k – 500k
On-siteData Engineering

About the role

What You’ll Work On

  • Building robust pipelines to ingest, transform, and consolidate data from diverse sources (e.g., MongoDB, Airtable, PostHog, production databases).
  • Designing dbt models and transformations to standardize and unify many disparate tables into clean, production-ready schemas.
  • Implementing scalable, fault-tolerant data workflows with Fivetran, dbt, SQL, and Python.
  • Partnering with engineers, data scientists, and business stakeholders to ensure data availability, accuracy, and usability.
  • Owning data quality and reliability across the stack, from ingestion through to consumption.
  • Continuously improving pipeline performance, monitoring, and scalability.

What We’re Looking For

  • Proven experience in data engineering, with strong knowledge of SQL, Python, and modern data stack tools (Fivetran, dbt, Snowflake or similar).
  • Experience building and maintaining large-scale ETL/ELT pipelines across heterogeneous sources (databases, analytics platforms, SaaS tools).
  • Strong understanding of data modeling, schema design, and transformation best practices.
  • Familiarity with data governance, monitoring, and quality assurance.
  • Comfort working cross-functionally with engineering, product, and operations teams.

Bonus: prior experience supporting machine learning workflows or analytics platforms.

Benefits

  • Generous equity grant vested over 4 years
  • A $10K housing bonus (if you live within 0.5 miles of our office)
  • A $1K monthly stipend for meals
  • Free Equinox membership
  • Health insurance

Skills

SQLPythondbtFivetranSnowflakeETLELTData ModelingMongoDBAirtable

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