Data Engineer at Delphia

San Francisco, California, United States

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$125,000 – $200,000Compensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, SoftwareIndustries

Requirements

Strong Python and SQL skills with proven experience designing scalable data pipelines, ETL systems, and data warehousing (Redshift preferred)
Experience with cloud-native infrastructure (AWS) and building production-ready systems
Comfortable with distributed processing (Spark) and event-driven architectures (Kafka)
Experience with recommendation systems or data science workflows
Bonus skills: Amplitude for event instrumentation, building funnels, and extracting actionable product insights
Experience with distributed processing (Spark), event-driven architectures (Kafka), recommendation systems, or data science workflows
Experience with data science workflows and event instrumentation
Experience with data warehousing (Redshift) and ETL systems
Experience with scalable data pipelines and ETL systems
Experience with distributed processing (Spark) and event-driven architectures (Kafka)

Responsibilities

Build our data platform from 0→1 - Architect Delphi's entire data stack from scratch and turn raw data into insights that drive every major decision
Unlock product insights - Track user engagement with onboarding, identify "time to magic" moments, and discover behaviors that drive long-term retention
Drive growth intelligence - Analyze user segments, define session success metrics, and predict what actions lead to upgrades, churn, or virality
Optimize financial performance - Monitor paid tier performance, compare Free vs. paid user behavior, and refine pricing dynamics and conversion pathways
Run continuous experiments - Design and execute tests to learn about product behavior and find our north star metrics (like Duolingo's 3-day retention discovery)
Design and execute tests to learn about product behavior and find our north star metrics (like Duolingo's 3-day retention discovery)
Create clear, actionable dashboards and reports that non-technical teams use to make critical decisions
Build funnels and extract actionable product insights
Instrument event data with Amplitude
Design and execute distributed processing (Spark) and event-driven architectures (Kafka) experiments
Optimize paid tier performance and compare Free vs. paid user behavior
Define session success metrics and predict what actions lead to upgrades, churn, or virality
Analyze user segments and define session success metrics

Skills

Data Platform

Data Architecture

Data Insights

User Engagement

Retention Analysis

User Segmentation

Session Metrics

Financial Performance Monitoring

Delphia

AI-driven insights for professional investors

About Delphia

Delphia operates in the financial technology sector, focusing on using artificial intelligence and alternative consumer data to provide insights for professional investors. The company collects and analyzes large amounts of data to create predictive models and investment strategies that help institutional clients, such as hedge funds and asset managers, make informed decisions in the capital markets. Delphia differentiates itself from competitors by emphasizing the ethical and transparent use of personal data, ensuring compliance with legal standards. The company's goal is to generate value for its clients through data-driven insights, earning revenue from subscription fees and performance-based models.

Toronto, CanadaHeadquarters

2018Year Founded

$77.3MTotal Funding

SERIES_ACompany Stage

Fintech, AI & Machine Learning, Financial ServicesIndustries

11-50Employees

Risks

Rapid AI evolution may outpace Delphia's current technological capabilities.

Intensifying regulatory scrutiny could impact Delphia's operations and increase compliance costs.

Volatility in digital asset markets poses financial risks to Delphia's strategies.

Differentiation

Delphia uniquely rewards investors for sharing data to enhance investment returns.

The company integrates traditional and decentralized finance through its digital asset ecosystem.

Delphia's ethical data use aligns with increasing demand for sustainable investment insights.

Upsides

Delphia's AI-driven models excel in the growing personalized finance solutions market.

The rise of DeFi platforms enhances Delphia's digital asset ecosystem potential.

Increasing alternative data sources boost Delphia's predictive model capabilities.

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