Data Engineer

How It Works

• We reach out, learn what you're building and what excites you, and optimize your profile.
• Hiring managers review the cohort and request interviews with candidates they want.
• Companies submit competing salary bids directly to you.
• You only interview where you're genuinely interested.
• Completely free. We have an iMessage agent + humans in the loop you can text anytime w/ questions or requests to help handle scheduling and coordination.

Who We're Looking For

• Data engineers who have built and owned production data pipelines, from ingestion to warehouse to the teams and models that use them.
• Strong in Python and SQL, and experienced with tools like Spark, dbt, Airflow, Kafka, Snowflake or BigQuery.
• Think about data quality, lineage and cost, not just getting the job to run.
• Have built data foundations for AI (training data, embeddings, retrieval, eval datasets) or want to.
• Thrive in startup environments where the problem is ambiguous and the team is small.
• Have 2-8 years of experience, ideally with experience at at least one high-growth company.

What You'll Build

• Data pipelines that feed AI models and agents with clean, reliable data.
• Retrieval and embedding infrastructure behind production RAG systems.
• Training and eval datasets that make models measurably better.
• Real-time and streaming data systems for fintech, healthcare and logistics.
• Warehouses and analytics foundations that scale from first customer to enterprise.

Pay

$170,000 to $290,000+ base salary depending on experience and role. Many positions include meaningful equity at pre-seed through Series B stage companies.

Schedule

Not specified.