Talent.com
BI Lead - FT - Data Analytics Engineer, MTA Solutions
BI Lead - FT - Data Analytics Engineer, MTA SolutionsDoctronic • Los Angeles, CA, US
No longer accepting applications
BI Lead - FT - Data Analytics Engineer, MTA Solutions

BI Lead - FT - Data Analytics Engineer, MTA Solutions

Doctronic • Los Angeles, CA, US
4 days ago
Job type
  • Full-time
Job description

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

  • Architect & Build a Data Lake

Design and implement the company's first centralized data lake to unify raw, structured, and semi-structured data.

  • Define ingestion patterns for streaming and batch pipelines across internal apps, SaaS tools, and APIs (ad platforms, CRM, telehealth systems, etc.).
  • MTA & Attribution Models

    • Build pipelines that support advanced multi-touch attribution models (rule-based, probabilistic, and ML-driven).

  • Deliver accurate, timely, and explainable attribution outputs to support marketing spend decisions.
  • Data Engineering & Pipelines

    • Own ETL / ELT frameworks using Python, SQL, and orchestration tools.

  • Deploy workflows in a FastAPI + Celery async task environment.
  • BI & Analytics Enablement

    • Define schemas and data models that feed dashboards, experimentation, and decision-making.

  • Enable self-service analytics for marketing, product, and finance teams.
  • Governance & Standards

    • Define data contracts, quality checks, documentation, and access control to keep the platform trustworthy and compliant.

  • Scale & Optimize

    • 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 or warehouses from scratch.
  • Expertise with SQL and modern data warehouse / lakehouse technologies (Snowflake, BigQuery, Redshift, Delta Lake, etc.).
  • Strong Python engineering skills, or proven willingness to quickly ramp into Python async patterns, FastAPI, and Celery-based architectures.
  • Experience with ETL / ELT frameworks, pipeline orchestration, and API-based ingestion.
  • Familiarity with attribution, experimentation, or marketing analytics concepts.
  • Excellent communicator with ability to bridge technical and business teams.

    • Nice-to-Haves

  • Exposure to marketing / healthcare data ecosystems (GA4, Freshpaint, Braze, ad platforms, EHRs).
  • Hands-on experience with distributed computing frameworks (Spark, Dask, etc.).
  • Experience leading a small team or mentoring junior engineers.
  • Familiarity with HIPAA or other regulated environments.

    • Why Join Us

  • Lead the end-to-end build of a greenfield data lake and BI environment.
  • Tackle one of the hardest problems in healthcare tech : attribution and compliance at scale.
  • High-impact role where your architecture decisions will shape the company for years.

    • Grow alongside a world-class engineering and growth team, with direct exposure to cutting-edge backend and marketing systems.

    Compensation Range : $150K - $200K

    J-18808-Ljbffr

    Create a job alert for this search

    Lead Data Engineer • Los Angeles, CA, US