Data Engineer

About the role Healthcare is in crisis and the people behind the results deserve better. With data exploding across wearables, lab tests, and patient–doctor interactions, we’re entering an era where data is abundant. Junction is building the infrastructure layer for diagnostic healthcare, making patient data accessible, actionable, and automated across labs and devices. Our mission is simple but ambitious: use health data to unlock unprecedented insight into human health and disease. If you're passionate about how technology can supercharge healthcare, you’ll fit right in. Backed by Creandum, Point Nine, 20VC, YC, and leading angels, we’re working to solve one of the biggest challenges of our time: making healthcare personalized, proactive, and affordable. We’re already connecting millions and scaling fast. Short on time? Who you are: A data engineer with solid software engineering fundamentals who can build, own, and scale reliable data pipelines and warehouse infrastructure. Ownership: You’ll shape our data foundation from ingestion through transformation — and make it analytics-ready at scale. Salary: $160K - $200k+ equity Time zone: Preferably NYC; EST required. Why we need you Junction powers modern diagnostics at scale and as we grow, our platform is becoming increasingly data-intensive. The way we move, structure, and surface data directly affects our ability to support customers, deliver real-time insights, and unlock the next generation of diagnostics products. We’re hiring our first Data Engineer to take ownership of that foundation. 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 If you love untangling complexity and building data systems that truly make an impact, you’ll fit right in — and the systems you build will unlock new products and accelerate everything we ship. What you’ll be doing day to day Designing and operating ingestion, transformation, and replication pipelines on GCP Managing orchestration and streamlining ELT/ETL workflows (e.g., Temporal) Creating clean, scalable, analytics-ready schemas in BigQuery Implementing monitoring, alerting, testing, and observability across data flows Integrating data from APIs, operational databases, and unstructured sources Collaborating with product, engineering, analytics, and compliance on secure, high-quality data delivery Requirements 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 You don’t need to tick every box to fit in here. If the problems we’re solving genuinely interest you and you know you can contribute, we’d love to talk. Nice to have Experience with HIPAA/PHI or regulated healthcare data Background with time-series data or event-driven architectures Familiarity with dbt or similar transformation frameworks Experience with healthcare, diagnostics, or ML/AI workloads How you'll be compensated Salary: $160K - $200k + early stage options Your salary is dependant on your location and experience level, generated by our salary calculator. Read more in our handbook here. Generous early stage options (extended exercise post 2 years employment) - you will receive 3 offers based on how much equity you'd like 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 Oh and before we forget: Backend Stack: Python (FastAPI), Go, PostgreSQL, Google Cloud Platform (Cloud Run, GKE, Cloud BigTable, etc), Temporal Cloud Frontend Stack: TypeScript, Next.js API docs are here: https://docs.junction.com/ Company handbook is here with engineering values + principles Important details before applying: We only hire folks physically based in GMT and EST timezones - more information here. We do not sponsor visas right now given our stage About the roleHealthcare is in crisis and the people behind the results deserve better. With data exploding across wearables, lab tests, and patient–doctor interactions, we’re entering an era where data is abundant. Junction is building the infrastructure layer for diagnostic healthcare, making patient data accessible, actionable, and automated across labs and devices. Our mission is simple but ambitious: use health data to unlock unprecedented insight into human health and disease. If you're passionate about how technology can supercharge healthcare, you’ll fit right in. Backed by Creandum, Point Nine, 20VC, YC, and leading angels, we’re working to solve one of the biggest challenges of our time: making healthcare personalized, proactive, and affordable. We’re already connecting millions and scaling fast. Short on time? Who you are: A data engineer with solid software engineering fundamentals who can build, own, and scale reliable data pipelines and warehouse infrastructure. Ownership: You’ll shape our data foundation from ingestion through transformation — and make it analytics-ready at scale. Salary: $160K - $200k+ equity Time zone: Preferably NYC; EST required. Why we need you Junction powers modern diagnostics at scale and as we grow, our platform is becoming increasingly data-intensive. The way we move, structure, and surface data directly affects our ability to support customers, deliver real-time insights, and unlock the next generation of diagnostics products. We’re hiring our first Data Engineer to take ownership of that foundation. 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 If you love untangling complexity and building data systems that truly make an impact, you’ll fit right in — and the systems you build will unlock new products and accelerate everything we ship. What you’ll be doing day to day Designing and operating ingestion, transformation, and replication pipelines on GCP Managing orchestration and streamlining ELT/ETL workflows (e.g., Temporal) Creating clean, scalable, analytics-ready schemas in BigQuery Implementing monitoring, alerting, testing, and observability across data flows Integrating data from APIs, operational databases, and unstructured sources Collaborating with product, engineering, analytics, and compliance on secure, high-quality data delivery Requirements 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 You don’t need to tick every box to fit in here. If the problems we’re solving genuinely interest you and you know you can contribute, we’d love to talk. Nice to have Experience with HIPAA/PHI or regulated healthcare data Background with time-series data or event-driven architectures Familiarity with dbt or similar transformation frameworks Experience with healthcare, diagnostics, or ML/AI workloads How you'll be compensated Salary: $160K - $200k + early stage options Your salary is dependant on your location and experience level, generated by our salary calculator. Read more in our handbook here. Generous early stage options (extended exercise post 2 years employment) - you will receive 3 offers based on how much equity you'd like 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 Oh and before we forget: Backend Stack: Python (FastAPI), Go, PostgreSQL, Google Cloud Platform (Cloud Run, GKE, Cloud BigTable, etc), Temporal Cloud Frontend Stack: TypeScript, Next.js API docs are here: https://docs.junction.com/ Company handbook is here with engineering values + principles Important details before applying: We only hire folks physically based in GMT and EST timezones - more information here. We do not sponsor visas right now given our stage