Senior Analytics Engineer

Rocket Money; United States; Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

401k Matching

Team Member Stock Purchasing Program

Tuition Reimbursement

Unlimited PTO

Daily Lunch, Snacks & Coffee

Commuter benefits

Life Insurance

Long/Short Term Disability

Job summary

Rocket Money seeks a Senior Analytics Engineer to shape our analytics architecture. You will design scalable dimensional models, surface self-serve data for analysts, and own data quality across the pipeline.

You’ll translate business questions into technical requirements while partnering with Data Engineering and product teams to strengthen data governance and instrumentation. Ideal candidates bring 5+ years in analytics engineering or data roles, deep modeling expertise, and production dbt

Qualifications

• 5+ years of experience in analytics engineering, data engineering, or related roles.
• Deep data modeling expertise with dimensional modeling and grain concepts.
• Production dbt experience with model materialization, testing, and macros.
• 2+ years of BI tooling experience, Looker preferred, with stakeholder-focused delivery.
• Strong cross-functional communication and ability to influence decisions.
• Experience with finance or financial services data and contracts.
• Experience with BigQuery, dbt Cloud, Looker, Amplitude, DeepNote.

Responsibilities

• Design and build dimensional models that scale using dbt + BigQuery.
• Own data quality and monitoring for the models you build.
• Collaborate with Data Analysts and BI to enable self-service analysis.
• Translate business needs into technical requirements and prioritize work.
• Lead root-cause investigations on data discrepancies across the pipeline.

Skills

dbt Cloud

BigQuery

Looker

Amplitude

DeepNote

Data modeling

Data governance

Tools

dbt

Looker Studio

Job description

San Francisco, CA, Washington, D.C., New York City, N.Y., Detroit, MI, Phoenix, AZ, Miami, FL, Denver, CO., Remote (USA)

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.

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.

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
• 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.
• 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
• Life Insurance
• Long/Short Term Disability
• Competitive Pay
• 401k Matching
• Team Member Stock Purchasing Program (TMSPP)
• 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 Affinitive 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.