Business Intelligence Engineer
Remote, Anywhere in the US
About AnswersNow
At AnswersNow, we are trailblazing the future of autism therapy, making it more immediate, accessible, and effective for families everywhere. Our innovative virtual ABA therapy platform is thoughtfully designed by clinicians to recreate the focused, supportive environment of in-person therapy, complete with distraction-free features and interactive activities that enhance engagement and progress.
Our team operates fully remote—meaning you’ll have the flexibility to work from the comfort of home. If you're ready to make a meaningful impact and join a team that's reshaping autism therapy, we’d love to hear from you!
Why this role matters:
As our Business Intelligence Engineer, you are the ultimate architect of our data and the bridge to our AI-driven future. You’ll clear out the noise to create a single, trusted source of truth that powers critical business decisions and fuels our homegrown AI tools. By building a rock-solid data foundation, you ensure our internal teams, external partners, and digital systems always have accurate, reliable insights. Ultimately, your work empowers us to scale our platform and deliver life-changing autism therapy to families nationwide.
Job Details
Job Requirements
4+ years of experience in data engineering, analytics engineering, or BI architecture
Deep SQL proficiency — you write complex queries fluently and think in terms of data models, not just ad hoc queries
Strong experience with dbt: building models, writing tests, managing the DAG, and thinking in dimensions and facts
Hands-on Amazon QuickSight experience — or deep experience with a comparable BI platform and a demonstrated ability to learn new tooling quickly
You think like a data modeler: you consider how a design decision today affects the flexibility and trustworthiness of reports built on top of it tomorrow
Familiarity with LLM-assisted BI tools, AI-native data products, or QuickSight AI features — you're not afraid of this space and ideally excited by it
Strong communication skills: you can explain a data model decision to a non-technical stakeholder without making them feel lost
Ability to work closely with business stakeholders to understand domain context — you can't model data well if you don't understand what the data means
Nice to have:
Experience with clinical data, healthcare outcomes metrics, or payor reporting
Familiarity with RAG pipelines, vector databases, or AI inference infrastructure — awareness of how BI dat