---
title: 'Senior Analytics Engineer at Rocket Money'
canonical: 'https://feeny.ai/job/senior-analytics-engineer-rocket-money-san-francisco-ca-washington-dc-new-york-s8gf4skqc1dr'
type: 'job'
last_seen: '2026-10-24'
---

# Senior Analytics Engineer at Rocket Money

- **Company:** Rocket Money
- **Location:** San Francisco CA Washington Dc New York City NY Detroit MI Phoenix AZ Miami FL Denver CO, United States
- **Work type:** remote
- **Posted:** 2026-10-23
- **Last confirmed live:** 2026-10-24
- **Apply:** https://job-boards.greenhouse.io/truebill/jobs/8034115003

## Job description

## ABOUT ROCKET MONEY 🔮

Rocket Money’s mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

## ABOUT THE TEAM 🤝

The Analytics Engineering team's mission is to make data consistent, trustworthy, and easy to use. We build the dimensional models that power business decisions, and we own the integrity of the data those decisions rest on.

We work in a semi-embedded structure: Analytics Engineers sit close to the Data Analyst teams they support while remaining part of a central Analytics Engineering practice. Day to day, that means translating business questions into technical requirements, modeling ingested source data into shapes the business can actually use, and partnering with engineering teams on the upstream data we depend on.

We're looking for a Senior Analytics Engineer to help shape that architecture as it grows. You'll build and iterate on our star schema, surfacing models that Data Analysts and stakeholders across the business can self-serve against with confidence. Done well, this work raises the data literacy of the entire company — and we take that seriously.

## IN THIS ROLE, YOU'LL 🤹

Be a trusted builder, architect, and consultant on the analytics data we surface to our stakeholders. You'll learn the intricacies of our source data, how we transform it, how we monitor for integrity, and continue to move the needle on the partnership needed to maximize value for the business.

You will:

- Design and build dimensional models that scale (we use dbt + BigQuery)
- Translate ambiguous business questions into dimensions, facts, and grain decisions that hold up as the business changes
- Make tradeoffs between normalization, performance, and usability, and document the reasoning behind them
- Reduce technical debt in the dbt project: model layering, naming and testing standards, macro reuse, and incremental strategy
- Own data quality and monitoring for the models you build
- Define what "correct" means for each model and instrument data quality checks to monitor it
- Build and improve the alerting and triage process so data issues are caught proactively
- Lead root-cause investigations on data discrepancies across the pipeline, from source event or system of record through to the analytics layer
- Partner with Data Engineering and product engineering teams on upstream contracts and instrumentation quality
- Be the connective tissue between source data and business definitions
- Support technical definition of core business measurement and drive alignment when stakeholders disagree
- Partner with Data Analysts and BI to ensure models enable stakeholder self-service analysis
- Translate business needs into technical requirements and prioritize work against them
- Raise the bar on the team through code review, design review, and documentation

## ABOUT YOU 🦄

- 5+ years of experience in analytics engineering, data engineering, or related roles.
- Deep data modeling expertise. You have designed dimensional models from scratch and integrated them into a cohesive analytics architecture to serve your stakeholders. You understand grain, SCD types, and fact table design tradeoffs.
- You can handle complex modeling scenarios, such as conforming dimensions across business use cases, modeling many-to-many relationships, handling late-arriving and restated data, and keeping models usable as the source systems evolve.
- You treat data quality as a design problem, not a cleanup task. You have built testing and monitoring into pipelines, defined SLAs or expectations with data owners, and managed the on-call/triage side of keeping data trustworthy.
- You judge your work by its usability to your stakeholders over the long-term, not just by speed of delivery, underlying architecture elegance, or immediate use case.
- Production dbt experience. You understand model materialization strategies, testing, macros, and how to keep a growing project maintainable.
- 2+ years of experience with BI tools (Looker preferred) and an understanding of how modeling choices shape what's possible in the analytics layer.
- Strong cross-functional communication skills and the ability to influence stakeholder & business decisions.
- Strong problem decomposition: you can understand the underlying problem in requests that you receive and align them with our modeling roadmap and architecture.

Bonus points if:

- You have worked with finance or financial services data — transactions, subscriptions, revenue recognition, ledgers, or reconciliation against a system of record.
- You have experience with our stack (BigQuery, dbt Cloud, Looker, Amplitude, DeepNote)
- You have experience with data governance, lineage, or catalog tooling
- You're familiar with Agile process & sprint cycles
- You have experience in mobile app or product analytics

## WE OFFER 💫

- Health, Dental & Vision Plans
- Life Insurance
- Long/Short Term Disability
- Competitive Pay
- 401k Matching
- Team Member Stock Purchasing Program (TMSPP)
- Learning & Development Opportunities
- Tuition Reimbursement
- Unlimited PTO
- Daily Lunch, Snacks & Coffee (in-office only)
- Commuter benefits (in-office only)

Additional information: Salary range of $150,000 - $190,000 + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money, Inc. is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

## About Rocket Money

## Company Overview
- **One-liner**: Rocket Money is a personal finance app that helps millions of members manage subscriptions, lower bills, build budgets, and save money automatically.
- **Entity Type**: Private (subsidiary of Rocket Companies, Inc.)
- **Headquarters**: Silver Spring, Maryland, United States
- **Founded**: Not publicly available
- **Founders**: Not publicly available (CEO & Chairman: Haroon Mokhtarzada)

## Core Business
- **Primary industry**: Financial Services / Personal Finance
- **Target customers**: B2C (individual consumers)
- **Mission or purpose statement**: "Meaningfully improve the financial prosperity of millions of people" [rocketmoney.com/about](https://www.rocketmoney.com/about)

## Products & Services
- **Subscription Management**: Automatically detects and tracks subscriptions; members can request cancellation of unwanted services.
- **Budgeting**: Create unlimited custom budgets and track spending.
- **Automated Savings Plan**: Learns spending habits and automatically sets aside money while avoiding overdraft fees.
- **Rocket Money Premium**: Paid tier offering advanced features like smart savings, unlimited budgets, and priority support. [rocketmoney.com](https://www.rocketmoney.com/)

## Market Standing
- **Valuation/Market Cap**: Not disclosed (acquired by Rocket Companies in December 2021 for $1.275 billion) [linkedin.com](https://www.linkedin.com/company/rocketmoney)
- **Key Metric**: Annual revenue of $80 million (LinkedIn estimate)
- **Notable Investors/Partners**: Parent company: Rocket Companies, Inc.
- **Growth Signals**: Over 10 million members; $2.5 billion+ saved for members; $880 million+ in canceled subscriptions; 5% year-over-year headcount growth (252 employees); active job postings up 247% year-over-year. [rocketmoney.com/about](https://www.rocketmoney.com/about) [linkedin.com](https://www.linkedin.com/company/rocketmoney)

## Competitive Advantages
- **Subscription cancellation assistant** – a key differentiator that saves users time and money.
- **Data-driven personalization** – uses member data to tailor savings and budget recommendations.
- **Large, engaged user base** – 10 million members provide network effects and data advantages.
- **Strong brand trust** – backed by Rocket Companies and recognized with multiple workplace awards.

## Strategic Focus
- Expanding product offerings into credit products, deposit products, and AI-powered data features.
- Growing the engineering and data teams to build new capabilities (e.g., Senior Full Stack Engineer for AI & Data Products, Staff ML Engineer). [greenhouse.io](http://job-boards.greenhouse.io/truebill)
- Scaling marketing and growth channels (TV, offline, influencer) to reach new members.

## Why Work Here
- **Culture**: Values-driven environment emphasizing collaboration, ownership, data-driven decisions, and personal growth. Team weeks held 3-4 times a year to foster in-person connection. [rocketmoney.com/careers](https://www.rocketmoney.com/careers)
- **Remote/Hybrid**: Offices in Washington D.C., New York, San Francisco, Miami, and Denver; many roles offer remote (USA) options. [rocketmoney.com/careers](https://www.rocketmoney.com/careers)
- **Perks**: Unlimited PTO, parental leave, health/dental/vision insurance, 401k matching, team member stock purchasing program, tuition reimbursement, learning & development opportunities.
- **Awards**: Washington Post Top Workplaces 2025, Top Workplaces 2022, 2021 Best Places to Work, Deloitte Technology Fast 500. [rocketmoney.com/careers](https://www.rocketmoney.com/careers)
- **Diversity**: "We welcome talent from all industries and value diverse perspectives." [rocketmoney.com/careers](https://www.rocketmoney.com/careers)

## Sources
1. [rocketmoney.com/careers](https://www.rocketmoney.com/careers)
2. [rocketmoney.com/about](https://www.rocketmoney.com/about)
3. [linkedin.com/company/rocketmoney](https://www.linkedin.com/company/rocketmoney)
4. [rocketmoney.com](https://www.rocketmoney.com/)
5. [greenhouse.io](http://job-boards.greenhouse.io/truebill)

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