Jackpot Junction
51-200 employees
gambling-and-casinos
casinos
gambling
gambling-facilities
leisure
tourism
travel
About Jackpot Junction
Jackpot Junction is 440,000 square feet of gambling action and entertainment. Jackpot offers 1,250 of the latest video slot machines where you're sure to find your game of choice. Machines range in denominations from one cent to twenty five dollars, with new machines arriving frequently (View a list of all game themes on our web page: jackpotjunction.com.) Our 250-seat bingo hall offers regular and matinee sessions and in addition, hosts $70,000 bingo events twice a year. The Lower Sioux Lodge, adjacent to the casino is a AAA three diamond rated 378-room hotel. Jackpot Junction Casino Hotel offers four different food outlets: the Dacotah Restaurant, a 276-seat full service restaurant, the Seasons Buffet, 2Go Food Kiosk and Wabasha Creek Restaurant located at the Dacotah Ridge Golf Course. Full beverage service is available throughout the Casino including four full service bars. Our nightclub offers variety and country bands every weekend. Jackpot Junction is managed by the Lower Sioux Indian Tribe and operated by 859 employees.
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Description
- 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.
- 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
- 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
- Additional info
- 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: https://pages.junction.com/handbook 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.
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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
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Benefits
- Salary: $160K - $200k + early stage options
- 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