Data Engineer

This position is 100% remote
This position is a Full time Direct Hire

Tech Stack

• Languages: Python (primary), Java

• Tools: Airflow, Prefect, Dagster, DBT, Snowflake, Databricks

• Cloud: AWS

• Focus Areas: Data orchestration, compliance, scalability, lineage

Key Responsibilities

• Design and implement scalable data orchestration and lineage systems

• Build validation, transformation, and compliance workflows

• Optimize large-scale data storage for cost and performance

• Own projects end-to-end, from architecture to production

• Contribute as a generalist across the data platform and engineering stack

Must-Have Qualifications

• 6+ years of experience in data engineering
  (flexible for exceptional candidates with startup backgrounds)

• Exceptional Python skills

• Experience with orchestration tools: Airflow, Prefect, or Dagster

• Proficient in Snowflake or Databricks

• Strong AWS cloud experience

• Hands-on with DBT for data transformations, testing, and documentation

• Java proficiency

• Strong CS fundamentals and a technical undergraduate degree

• Experience in early-stage startups (sub-30 person teams; seed or Series A)

• Genuine excitement about the AI infrastructure movement

• Must not have too many short stints Sub 2 years

Preferred Qualifications

• Experience working with unstructured data (PDFs, videos, imaging)

• Familiarity with healthcare compliance (e.g., HIPAA)

• Experience at companies with strong engineering cultures

• Prior experience as a founding data engineer or early technical hire

Pre-Screen Questions (Required for submission)

1. Tell me about your startup experience.

2. Tell me about your experience with big data tools, particularly Python and Java, and your understanding of data orchestration and scaling.