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About Mitre Media<\/span><\/p>\n 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\u2019ve served individual investors, financial advisors, and top asset managers like BlackRock and Vanguard through our premium data, tools, and advertising solutions. If you\u2019re excited by the intersection of big data, AI, and investing, join our lean, entrepreneurial team from anywhere within \u00b13 hours of Eastern Time.<\/span><\/p>\n About the Role<\/span><\/p>\n As Tech Lead Data Engineer, you\u2019ll 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\u2019ll collaborate in a remote-first hybrid culture that values in-person \u201cbursts\u201d of collaboration, follow ShapeUp for project planning, and ship pragmatic solutions that favor de-scoping over delays.<\/span><\/p>\n Responsibilities<\/span><\/p>\n Design, implement, and optimize large-scale ETL workflows in Databricks (Apache Spark, Delta Lake, DBT).<\/span><\/p>\n<\/li>\n Develop algorithms that transform raw market data into actionable insights.<\/span><\/p>\n<\/li>\n Own data quality and lineage, instituting tests, monitoring, and alerting for mission-critical pipelines.<\/span><\/p>\n<\/li>\n Evolve our cloud data platform (AWS & GCP) for scale, performance, and cost efficiency.<\/span><\/p>\n<\/li>\n Mentor engineers, championing best practices in code reviews, documentation, and DevOps for data.<\/span><\/p>\n<\/li>\n<\/ul>\n Required Technical Skills<\/span><\/p>\n Data Engineering<\/span><\/p>\n Programming<\/span>: Expert in Python plus working knowledge of Scala or Java.<\/span><\/p>\n<\/li>\n Databricks & Spark<\/span>: Hands-on with cluster tuning, job orchestration, and Delta Tables.<\/span><\/p>\n<\/li>\n SQL & DBT<\/span>: Strong analytical SQL, modular data-model design, and CI\/CD for transformations.<\/span><\/p>\n<\/li>\n Cloud<\/span>: Production experience on AWS or GCP data services (e.g., S3\/GCS, EMR\/Dataproc, Glue\/Dataflow).<\/span><\/p>\n<\/li>\n ETL & Orchestration<\/span>: Solid grasp of EL(T) patterns, workflow scheduling, and incremental processing.<\/span><\/p>\n<\/li>\n Data Modeling<\/span>: Dimensional and schema-on-read designs for analytics and AI.<\/span><\/p>\n<\/li>\n<\/ul>\n AI & Analytics Enablement<\/span><\/p>\n Nice-to-Have Technical Skills<\/span><\/p>\n Apache Airflow, Luigi, or Dagster for DAG orchestration.<\/span><\/p>\n<\/li>\n Experience with Looker, Tableau, or Stripe\u2019s Vizier-style visualization stacks.<\/span><\/p>\n<\/li>\n Financial-markets domain knowledge (equities, ETFs, mutual funds).<\/span><\/p>\n<\/li>\n Machine-learning engineering or statistical-analysis background.<\/span><\/p>\n<\/li>\n<\/ul>\n Required Soft Skills<\/span><\/p>\n Entrepreneurial mindset with a passion for AI and FinTech innovation.<\/span><\/p>\n<\/li>\n Self-starter who diagnoses problems, proposes trade-offs, and delivers.<\/span><\/p>\n<\/li>\n Clear communicator who thrives in distributed, cross-functional teams.<\/span><\/p>\n<\/li>\n Mentorship attitude\u2014uplifts peers through code reviews and knowledge-sharing.<\/span><\/p>\n<\/li>\n Detail-oriented and disciplined about data accuracy and documentation.<\/span><\/p>\n<\/li>\n<\/ul>\n Why Join Us?<\/span><\/p>\n Impactful Work<\/span> \u2013 Your pipelines feed every insight we deliver to millions of investors.<\/span><\/p>\n<\/li>\n Cutting-Edge Tech<\/span> \u2013 Databricks, Delta Lake, LLMs, Hotwire, and xAI\u2019s API, all in a modern microservices stack.<\/span><\/p>\n<\/li>\n Autonomy & Influence<\/span> \u2013 Work directly with the CEO & CTO to shape our data and AI strategy.<\/span><\/p>\n<\/li>\n Competitive Compensation<\/span> \u2013 $150k \u2013 $185k CAD\/USD plus benefits and performance bonuses.<\/span><\/p>\n<\/li>\n Remote Flexibility<\/span> \u2013 Remote-first within \u00b13 hrs ET; optional collaboration hubs in Toronto and NYC.<\/span><\/p>\n<\/li>\n Growth Opportunities<\/span> \u2013 Budget for conferences (e.g., Data+AI Summit, NeurIPS) and continuous learning.<\/span><\/p>\n<\/li>\n<\/ul>\n About Mitre Media\u2019s AI-Driven Platform<\/span><\/p>\n Mitre Media powers premium financial brands like <\/span>Dividend.com<\/span><\/a> and <\/span>MutualFunds.com<\/span><\/a> 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.<\/span><\/p>\n How to Apply<\/span><\/p>\n \u00a0<\/p>\n Submit your resume, GitHub profile, and a brief note on why you\u2019re excited about building AI-driven FinTech to [email\u00a0protected]<\/a>.<\/span><\/p>\n<\/div>\n\n
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