Tech Lead Databricks Data Engineer

Tech Lead Databricks Data Engineer — Remote Job at Mitre Media

full_time

REMOTE

USA, Canada, USA timezones

Are you looking for a remote job at Mitre Media? Work Remotely brings you this exciting opportunity. Here are the details:

Company: Mitre Media

Position: Tech Lead Databricks Data Engineer

Location: USA, Canada, USA timezones

Salary: $160k – $180k

About Mitre Media

Mitre Media is a FinTech company redefining investor tools with AI-driven insights and premium data solutions. Their portfolio includes well-known brands like Dividend.com and MutualFunds.com, serving individual investors and major asset managers like BlackRock. They operate as a lean, entrepreneurial team and focus on the intersection of big data, AI, and investing.

Job Description

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.

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.

• 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.

• 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.

• Building feature stores or inference-ready tables for ML/LLM workflows.

• Familiarity with vector databases or embedding pipelines

• 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.

• 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.

• 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.

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.

 

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

Qualifications Required

• Proven experience architecting and maintaining data backbones powering complex product suites.
• Expertise in designing, implementing, and optimizing large-scale ETL workflows in Databricks.
• Production experience with cloud data services on AWS or GCP (e.g., S3, EMR, Glue).
• Experience owning data quality and lineage, including testing, monitoring, and alerting.
• Previous experience in a mentorship role, championing best practices in code reviews and DevOps.

Skills Required

• Expert proficiency in Python and working knowledge of Scala or Java.
• Hands-on experience with Apache Spark, Delta Lake, and DBT.
• Advanced analytical SQL and modular data-model design skills.
• Knowledge of AI enablement, including building feature stores or embedding pipelines for LLM workflows.
• Familiarity with workflow orchestration tools such as Airflow, Luigi, or Dagster.

How to Apply

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