Tech Lead Databricks Data Engineer

About Mitre Media Mitre Media is redefining FinTech with AI-driven tools that empower millions of investors

Our portfolio, including Dividend.com and MutualFunds.com, leverages LLMs to deliver novel data insights and visually rich user experiences

For over a decade, we’ve served individual investors, financial advisors, and top asset managers like BlackRock and Vanguard through our premium data, tools, and advertising solutions

If you’re excited by the intersection of big data, AI, and investing, join our lean, entrepreneurial team from anywhere within ±3 hours of Eastern Time

About the Role As Tech Lead Data Engineer, you’ll architect and maintain the data backbone powering every feature across our product suite

Reporting to the CTO, you will design Databricks-based ETL pipelines, model complex investment data, and surface low-latency, high-quality datasets for both user-facing features and internal AI/analytics workloads

You’ll collaborate in a remote-first hybrid culture that values in-person “bursts” of collaboration, follow ShapeUp for project planning, and ship pragmatic solutions that favor de-scoping over delays

Responsibilities Design, implement, and optimize large-scale ETL workflows in Databricks (Apache Spark, Delta Lake, DBT)

Develop algorithms that transform raw market data into actionable insights

Own data quality and lineage, instituting tests, monitoring, and alerting for mission-critical pipelines

Evolve our cloud data platform (AWS & GCP) for scale, performance, and cost efficiency

Mentor engineers, championing best practices in code reviews, documentation, and DevOps for data

Required Technical Skills Data Engineering Programming: Expert in Python plus working knowledge of Scala or Java

Databricks & Spark: Hands-on with cluster tuning, job orchestration, and Delta Tables

SQL & DBT: Strong analytical SQL, modular data-model design, and CI/CD for transformations

Cloud: Production experience on AWS or GCP data services (e.g., S3/GCS, EMR/Dataproc, Glue/Dataflow)

ETL & Orchestration: Solid grasp of EL(T) patterns, workflow scheduling, and incremental processing

Data Modeling: Dimensional and schema-on-read designs for analytics and AI

AI & Analytics Enablement Building feature stores or inference-ready tables for ML/LLM workflows

Familiarity with vector databases or embedding pipelines Nice-to-Have Technical Skills Apache Airflow, Luigi, or Dagster for DAG orchestration

Experience with Looker, Tableau, or Stripe’s Vizier-style visualization stacks

Financial-markets domain knowledge (equities, ETFs, mutual funds)

Machine-learning engineering or statistical-analysis background

Required Soft Skills Entrepreneurial mindset with a passion for AI and FinTech innovation

Self-starter who diagnoses problems, proposes trade-offs, and delivers

Clear communicator who thrives in distributed, cross-functional teams

Mentorship attitude—uplifts peers through code reviews and knowledge-sharing

Detail-oriented and disciplined about data accuracy and documentation

Why Join Us? Impactful Work – Your pipelines feed every insight we deliver to millions of investors

Cutting-Edge Tech – Databricks, Delta Lake, LLMs, Hotwire, and xAI’s API, all in a modern microservices stack

Autonomy & Influence – Work directly with the CEO & CTO to shape our data and AI strategy

Competitive Compensation – $150k – $185k CAD/USD plus benefits and performance bonuses

Remote Flexibility – Remote-first within ±3 hrs ET; optional collaboration hubs in Toronto and NYC

Growth Opportunities – Budget for conferences (e.g., Data+AI Summit, NeurIPS) and continuous learning

About Mitre Media’s AI-Driven Platform Mitre Media powers premium financial brands like Dividend.com and MutualFunds.com with the Mitre Platform

This platform integrates traditional content management, financial data, first-party data, ad revenue, and subscription tools, all enhanced by LLMs for rich, user-focused experiences

Our data-derived insights delight users, while our advertising solutions deliver unmatched performance for partners like BlackRock and Vanguard, leveraging advanced targeting and first-party data

How to Apply Submit your resume, GitHub profile, and a brief note on why you’re excited about building AI-driven FinTech to jobs@mitremedia.com.