[Hiring] Data Engineer @Junction

Role Description

This role involves building, owning, and scaling reliable data pipelines and warehouse infrastructure.

• Shape our data foundation from ingestion through transformation — making it analytics-ready at scale.
• Build and run pipelines that turn raw, messy healthcare data into clean, trusted, usable information.
• Power customer products, internal analytics, and the AI models behind our next wave of diagnostics.
• Design how data flows through an entire diagnostics ecosystem — not just maintain ETLs.
• Build scalable, cloud-native pipelines on GCP and eliminate bottlenecks as we scale.
• Hunt down edge cases, build guardrails for quality, and ship systems other engineers rely on daily.

Qualifications

• Solid engineering fundamentals and experience building pipelines from scratch.
• Python and SQL fluency; comfortable across relational + NoSQL systems.
• Experience with orchestrators like Temporal, Airflow, or Dagster.
• Hands-on with BigQuery, BigTable, and core GCP data tooling.
• Ability to turn messy, ambiguous data problems into clear, scalable solutions.
• Startup or small-team experience; comfortable moving fast with ownership.
• Communication skills, attention to detail, and a bias toward clarity and reliability.

Requirements

• Experience with HIPAA/PHI or regulated healthcare data (nice to have).
• Background with time-series data or event-driven architectures (nice to have).
• Familiarity with dbt or similar transformation frameworks (nice to have).
• Experience with healthcare, diagnostics, or ML/AI workloads (nice to have).

Benefits

• Salary: $160K - $200K + early stage options.
• Generous early stage options (extended exercise post 2 years employment).
• Regular in-person offsites, last were in Morocco and Tenerife.
• Bi-weekly team happy hours & events remotely.
• Monthly learning budget of $300 for personal development/productivity.
• Flexible, remote-first working - including $1K for home office equipment.
• 25 days off a year + national holidays.
• Healthcare cover depending on location.