BI Lead - FT - Data Analytics Engineer, MTA Solutions
BI Lead – Data Analytics Engineer – MTA
This range is provided by Doctronic. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
$150,000.00 / yr - $200,000.00 / yr
Location : Remote (US-based preferred)
Team : Data / Growth / Engineering
Reports to : Head of Marketing & Data
About Us
We're building the future of healthcare intelligence. Our platform powers multi-touch attribution (MTA) and advanced analytics on top of a modern Python / FastAPI backend. To support our next phase of scale, we're building a new data lake and BI stack from the ground up—designed for speed, compliance, and scalability.
We need a BI Lead / Data Analytics Engineer who is excited to architect, build, and operationalize this foundation while driving attribution insights and analytics excellence across the company.
The Role
This is a hands-on, build-from-scratch role. You'll architect and implement the company's first data lake, ingestion frameworks, and attribution pipelines, and scale them into a robust BI environment.
The ideal candidate is a seasoned data engineer with 7+ years of experience building enterprise-grade data platforms, but is eager to adopt and master our Python / async / FastAPI / Celery environment.
You'll partner closely with marketing, product, and engineering to ensure our data infrastructure not only works but drives real business outcomes.
Responsibilities
Design and implement the company's first centralized data lake to unify raw, structured, and semi-structured data.
Build pipelines that support advanced multi-touch attribution models (rule-based, probabilistic, and ML-driven).
Own ETL / ELT frameworks using Python, SQL, and orchestration tools.
Define schemas and data models that feed dashboards, experimentation, and decision-making.
Define data contracts, quality checks, documentation, and access control to keep the platform trustworthy and compliant.
Continuously improve cost efficiency, performance, and observability of the data stack.
Requirements
Nice-to-Haves
Why Join Us
Grow alongside a world-class engineering and growth team, with direct exposure to cutting-edge backend and marketing systems.
Compensation Range : $150K - $200K
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Lead Data Engineer • Los Angeles, CA, US