BI Lead - FT - Data Analytics Engineer, MTA Solutions Doctronic is building the future of healthcare intelligence. As the BI Lead , you will architect, build, and operationalize a new data lake and BI stack from scratch. Base pay range: $150,000 – $200,000 per year. Location: Remote (US‑based preferred) Team: Data / Growth / Engineering Reports to: Head of Marketing & Data About Us: Our platform powers multi‑touch attribution (MTA) and advanced analytics. We are building a modern Python/FastAPI backend and a new data lake. The Role: Hands‑on, build‑from‑scratch. You’ll architect the company’s first data lake, ingestion frameworks, and attribution pipelines, scale them into a robust BI environment, and drive attribution insights across the company. Responsibilities Architect & build a centralized data lake to unify raw, structured, and semi‑structured data. Define ingestion patterns for streaming and batch pipelines across internal apps, SaaS tools, APIs. Build pipelines that support advanced multi‑touch attribution models (rule‑based, probabilistic, ML‑driven). Deliver accurate, timely, and explainable attribution outputs for marketing spend decisions. Own ETL/ELT frameworks using Python, SQL, and orchestration tools; deploy workflows in FastAPI + Celery. Define schemas and data models feeding dashboards, experimentation, decision‑making. Enable self‑service analytics for marketing, product, and finance teams. Define data contracts, quality checks, documentation, access control (governance). Continuously improve cost efficiency, performance, and observability of the data stack. Requirements 7+ years in data engineering, analytics, or BI roles. Strong experience designing and implementing data lakes/warehouses from scratch. Expertise with SQL and modern data warehouse/lakehouse technologies (Snowflake, BigQuery, Redshift, Delta Lake, etc.). Strong Python engineering skills; proven willingness to ramp into async patterns, FastAPI, Celery. Experience with ETL/ELT frameworks, pipeline orchestration, API ingestion. Familiarity with attribution, experimentation, or marketing analytics. Excellent communicator capable of bridging technical and business teams. Nice‑to‑Haves Exposure to marketing/healthcare data ecosystems (GA4, Freshpaint, Braze, ad platforms, EHRs). Hands‑on distributed computing (Spark, Dask). Experience leading a small team or mentoring juniors. Familiarity with HIPAA or regulated environments. Why Join Us Lead end‑to‑end build of a greenfield data lake and BI environment. Tackle attribution and compliance at scale in healthcare. High‑impact role shaping company architecture for years. Referrals increase your chances of interviewing at Doctronic by 2x. #J-18808-Ljbffr Doctronic
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