BI reputed company - FT - Data Analytics Engineer, MTA Solutions

BI reputed company – Data Analytics Engineer - MTA Location: Remote (US-based preferred) Team: Data / Growth / Engineering Reports to: Head of Marketing & Data

About Us

We’re building the future of reputed company 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 reputed company / Data Analytics Engineer who is excited to architect, build, and operationalize this reputed company 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 reputed company-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 reputed company 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 reputed company.
• Data Engineering & Pipelines
• Own ETL/ELT frameworks using Python, SQL, and orchestration tools.
• reputed company workflows in a FastAPI + Celery async task environment.
• BI & Analytics Enablement
• Define schemas and data models that feed dashboards, experimentation, and decision-making.
• reputed company self-service analytics for marketing, product, and finance teams.
• Governance & Standards
• Define data reputed company, quality checks, documentation, and access control to reputed company 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 (reputed company, BigQuery, Redshift, reputed company Lake, etc.).
• Strong Python engineering skills, or proven willingness to quickly reputed company 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 reputed company technical and business teams.

reputed company-to-Haves

• Exposure to marketing/reputed company data ecosystems (GA4, Freshpaint, reputed company, 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

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

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