Senior Data Engineer - Consumer Subscriptions

📍 New York City, United States
📍 Palo Alto, United States

USD 180,000-440,000 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

A/B Testing @ 7 Compliance Data Engineering Experimentation Looker @ 6 Pandas @ 7 Payments @ 6 Python @ 7 SQL @ 7 Tableau @ 6

Details

About the role

We’re seeking a Senior Data Engineer to join the Consumer Subscriptions team. You will own the analytics foundation for X Premium and SuperGrok — one of SpaceXAI's fastest-growing revenue organizations. You will dive deep into the entire consumer subscription ecosystem, turning massive-scale data into clear, actionable insights that drive strategic decisions, optimize revenue, and shape product direction. This high-impact role combines rigorous statistical analysis, compelling visualization, and hands-on data engineering to monitor performance, measure impact, surface opportunities, and ensure every initiative moves the needle.

Responsibilities

Own end-to-end analysis of the consumer subscriptions ecosystem — including acquisition, conversion, retention, churn, revenue, pricing, promotions, bundles, and global performance.
Build and maintain high-impact dashboards and visualizations that give the team real-time visibility into key metrics and trends.
Perform deep statistical analysis and experimentation to quantify the impact of new features, offers, communications, and market expansions.
Identify where the team should focus next by uncovering growth opportunities, user behavior patterns, and optimization levers.
Design and run ongoing monitoring systems and automated audits to ensure data accuracy, integrity, and compliance at scale.
Write efficient code (SQL, Python, etc.) to extract, transform, and analyze complex datasets from multiple sources.
Translate complex findings into clear, compelling narratives and recommendations that influence engineering, product, and business strategy.

Requirements

5+ years of experience as a data analyst (or equivalent) with a proven track record in revenue, subscription, or growth analytics.
Strong SQL and Python proficiency (pandas, numpy, etc.) for data extraction, cleaning, and analysis.
Deep experience with statistical methods, A/B testing, cohort analysis, and causal inference.
Strong familiarity with subscription metrics and modeling (LTV, churn, retention, conversion, revenue attribution, etc.).
Skilled at building intuitive dashboards and visualizations (Looker, Tableau, Metabase, or Python-based tools).
Ability to handle large-scale data with a strong emphasis on accuracy, rigor, and storytelling.

Preferred skills and experience

Prior work in consumer subscriptions, billing, payments, or monetization analytics at scale.
Experience with BigQuery and real-time analytics pipelines.
Strong product intuition and the ability to connect data insights directly to business outcomes.

Compensation and Benefits

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.