Rocket Money
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Senior Data Platform Engineer
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ABOUT ROCKET MONEY 🔮
Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. 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 🤝
Data Platform Engineers at Rocket Money further our mission by building and maintaining the infrastructure that enables our company to understand our users and products through reliable, scalable data systems. We build the foundational platform that ingests, processes, and serves data—enabling our Data Analytics, Machine Learning, and Software Engineering teams to build data products efficiently. We work closely with engineering teams to ensure data is captured correctly at the source, design resilient pipelines, and create self-service capabilities that empower stakeholders.
The Data Platform team is in an exciting phase of growth and formalization. While we have established tools and processes in place (dbt, BigQuery, Terraform), we're actively building the comprehensive standards, practices, and systems that will scale with Rocket Money as it grows. We're looking for engineers who can take ownership and evolve workflows into reliable, well-documented, production-grade systems. This is an opportunity to shape architectural decisions, establish team practices, and define how Rocket Money works with data for years to come.
We have a strong preference for process-oriented systems thinkers who excel in balancing stakeholder requirements, technical debt, and organizational complexity—and who thrive in environments where they need to create structure from ambiguity. You'll need to be comfortable making principled decisions, taking ownership not just of code but of outcomes, and operating with significant autonomy as we build the platform together.
ABOUT THE ROLE 🤹
In this role, you will:
- Be an end-to-end owner of our data platform infrastructure, ensuring its security, usability, and performance. Work closely with analytics engineers, machine learning engineers, and software engineers to ensure the platform meets their needs.
- Make collaborative decisions about data tooling, pipeline design, and governance, and implement opinionated interfaces that facilitate easy and best-practice-aligned development for other teammates.
- Continuously improve failure rates for data sources by moving alerting “to the left”; i.e. catching and quarantining bugs/failures as close to the source as possible.
- Analyze patterns in how source data is generated, modeled, and consumed. Work with stakeholders to implement the best solution when new data sources are added.
- Take ownership of existing tools and workflows that may be functional but lack formal structure, documentation, or reliability measures. You'll assess what's working, identify gaps, and systematically improve systems to production-grade quality.
- Document everything you build knowing that you're creating the foundation others will build upon. Your runbooks, architecture decision records, and system documentation will become the institutional knowledge of our data platform.
- Proactively communicate with multiple stakeholders on platform capabilities, technical constraints, architectural decisions, project priorities, and platform support.
- Confidently juggle multiple projects and priorities in our fast-paced environment and work with stakeholders and platform teammates to ensure infrastructure changes, migrations, and improvements are delivered on schedule.
- Automate aggressively and deliberately; anything from GitHub Actions to Slack Workflows to minimize repetitive tasks. Effectively judge when the level of effort is appropriate and avoid over-engineering.
ABOUT YOU 🦄
- You have 6+ years of experience working with data infrastructure, data engineering, or platform engineering within a fast-paced environment. You are highly proficient with SQL, Python, and cloud-based Infrastructure-as-Code (e.g. Terraform), and comfortable working with bash/shell scripting.
- You have 4+ years of production experience with modern data stacks including data warehouses (BigQuery, Snowflake, or Redshift), orchestration tools, managed ingestion services, and infrastructure as code (Terraform, Pulumi, or CloudFormation).
- You have 2+ years of experience building and maintaining production data pipelines, whether through ELT tools, custom applications, streaming systems, or event-driven architectures.
- You've successfully "professionalized" data infrastructure before—taking scrappy, working systems and evolving them into reliable, well-documented, production-grade platforms. You can articulate what "production-ready" means in a data context.
- You have a bias toward action and aren't paralyzed by imperfect solutions. You understand when "good enough for now with a plan to improve" beats "perfect but six months late." You ship incrementally and iterate based on feedback.
- You're comfortable being the first person to tackle a problem. You don't need extensive mentorship or detailed tickets—you can take a high-level business need and figure out the technical approach. That said, you know when to ask for help and can articulate what you need.
- You take ownership seriously—not just of writing code, but of outcomes. When you build something, you implement monitoring, write runbooks, create alerts, and ensure it can be maintained by others. You think about the full lifecycle of systems, not just initial delivery.
- You have strong opinions, weakly held. You can make and defend architectural decisions, but you're open to feedback and willing to change course when presented with better information. You can disagree and commit.
- You understand that "building from scratch" doesn't mean rejecting existing tools—it means thoughtfully selecting, configuring, and integrating managed services and open-source solutions to create a cohesive platform. You know when to build and when to buy.
- You have experience making big changes to critical data infrastructure. You’ve successfully re-architected, migrated, or upgraded data tooling that has strict SLA’s, without significantly affecting downstream stakeholders.
Bonus points if:
- You have led a data infrastructure migration or modernization project where you defined the vision, approach, and implementation.
- You have created internal tools, frameworks, or CLIs that improved how teams work with data (not just one-off scripts).
- You have established data platform best practices like CI/CD workflows, testing frameworks, or observability standards where none existed.
- Expertise in cloud platforms and technologies analogous to our stack:
- Our stack: GCP (BigQuery, Datastream, Cloud Functions, Vertex AI, GCS), dbt, Fivetran, Postgres, Python, Terraform, Looker, Retool
- Analogous experience: AWS (Redshift, DMS, Lambda, SageMaker, S3) or Azure (Synapse, Data Factory, Functions), Snowflake, Airbyte/Stitch, infrastructure as code tools, BI platforms
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 $160,000 - $200,000 + 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.
Ready to apply?
Apply to Rocket Money
Team Leader, Analytics Engineering
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ABOUT ROCKET MONEY🔮
Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. 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.
Please note: We strongly encourage team members to be in the office 1-2 days per week, though there is no formal in-office requirement.
ABOUT THE TEAM 🤝
Analytics Engineers at Rocket Money further our mission by helping our company understand our users and products through the lens of data. We build data models that uncover how our customers interact with our products, generate cashflows, and traverse our user experiences. We work with our product and engineering teams to understand the data our applications generate, model it in useful, understandable ways, and make that data available for efficient insight generation.
Our team values:
- Collaboration - We're team players who excel at cross-functional partnership with product and engineering teams
- Impact - We transform raw data into strategic insights that drive business decisions
- Growth - We continuously refine our craft while supporting each other's professional development
We're growing our team and are looking for an Analytics Engineering Team Leader who is committed to building an equitable, healthy work environment where team members thrive. In this role, you'll elevate our Analytics Engineering practice, mentor talented engineers, be a hands on contributor to our dbt and LookML code bases, and champion data-driven decision making across the organization. You'll help shape how Rocket Money uses data to understand our customers and products while building a world-class team.
Our Tech Stack: BigQuery, dbt, Looker, Amplitude, Fivetran, Datadog, git, Deepnote
IN THIS ROLE, YOU'LL:
- Own ambitious yet achievable quarterly roadmaps that drive our business forward by building tooling that allows the team to deliver faster, more consistent work and directing cross-team analytics efforts that inform strategy.
- Lead and manage a team of 4-6 analytics engineering professionals, creating processes for autonomous operation with cross-functional teams while maintaining high quality standards and accountability and supporting individual growth.
- Evolve team development standards, including technical skill frameworks, career ladders, and learning pathways. Create a culture of continuous improvement through code reviews, knowledge sharing sessions, and mentorship programs that elevate the entire team's capabilities.
- Champion data quality and attention to detail as core team values, establishing review processes and quality gates that ensure the accuracy and reliability of analytics outputs while still shipping iteratively and building stakeholder trust through visible progress.
- Foster strong working relationships with other leaders at the company, advocating for your team's involvement at the right time and driving high quality analytics delivery across teams.
- Address problems with performance directly and make decisions based on what's best for our users, team members, and business. Create highly functional teams and processes that make best use of data analytics resources.
- Be accountable for making, measuring, and delivering on team commitments, as well as pivoting when necessary to keep the team focused on the most impactful work.
- You're energized by problems that don't come with clearly defined requirements, and you know how to work with stakeholders to scope what's actually measurable.
ABOUT YOU 🦄
Technical Leadership
- You have hands-on experience with the modern analytics stack (e.g., dbt, Snowflake/BigQuery, Looker/Tableau/Databricks/Omni) and can guide technical decisions while establishing quality standards and review processes that ensure data accuracy.
- You have deep expertise in analytics engineering and a strong understanding of data systems and processes, especially delivery of maintainable/scalable models that meet stakeholder needs and support self service. You have experience implementing analytics engineering best practices (version control, testing, documentation, CI/CD) and can balance delivery speed with analytical rigor.
- You have strong software engineering fundamentals and the curiosity to dive into application codebases to understand data generation at its source. You believe analytics engineers should understand the full data lifecycle - from how events are instrumented in production code to how they're modeled in the warehouse.
Strategic & Business Acumen
- You can translate business objectives into technical roadmaps and have experience building self-service analytics strategies that scale across organizations.
- You lead a team that gets ahead of the business, building tooling and documentation so stakeholders can answer their own questions without waiting on a ticket.
People Leadership
- You have 5+ years of experience managing analytics engineering professionals. You've successfully led a team of embedded professionals and know how to cultivate a culture of autonomy within cross-functional teams.
- You can tailor your management style to suit your employees, identifying where some people might succeed with a more hands-off approach than others. You're passionate about developing talent and have a track record of building career frameworks, implementing mentorship programs, and helping analytics engineers grow from mid-level to senior roles.
Communication & Collaboration
- You excel at stakeholder management and can build effective relationships across the organization. You self-organize a peer group to gain feedback.
- You're an exceptional communicator who can explain complex data concepts to non-technical stakeholders and advocate for data-driven decision making at the executive level.
Growth Mindset
- You want to continue to grow and learn. You are excited by hard problems and big challenges.
- Experience in fintech, banking, or finance is a plus.
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 $170,000 - $220,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.
Rocket Money 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.
Ready to apply?
Apply to Rocket Money
Team Leader, Data Analytics - Product
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ABOUT ROCKET MONEY 🔮
Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. 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 Rocket Money Data Analytics team is comprised of data analysts who are passionate about using data to drive business decisions and improve user experiences. Analysts work within a semi-embedded organizational structure to independently build data analytics tooling, drive strategy with data, and assess experiments within cross-functional product vertical aligned teams. Analysts also work closely with other members of the analytics engineering and data science teams to further our product delivery, operations, finance, and marketing goals.
We're growing our team and are looking for a Data Analytics leader who is committed to building an equitable, healthy work environment where team members are supported in refining their crafts, growing both personally and professionally, and driving product delivery. We are looking for someone that can help elevate our Data Analytics team and support data driven decision making across the organization.
IN THIS ROLE, YOU'LL:
- Lead and manage a team of 4-6 product data analytics professionals, creating processes for autonomous operation with cross-functional teams while maintaining high quality standards and accountability and supporting individual growth.
- Drive technical strategy for self-service analytics, using self-service as a force multiplier that allows your team to execute on higher value analyses and tool building.
- Help redevelop our experimentation strategy by increasing rigor across the organization and partnering with product and engineering to help define standards for eventing, cohorting, analytics, etc.
- Foster strong working relationships with other leaders at the company, advocating for your team’s involvement at the right time and driving high quality analytics delivery across teams.
- Address problems with performance directly and make decisions based on what's best for our users, team members, and business. Create highly functional teams and processes that make best use of data analytics resources.
- Own ambitious yet achievable quarterly roadmaps that drive our business forward by building tooling that allows the team to deliver faster, more consistent work and directing cross-team analytics efforts that inform strategy.
- Be accountable for making, measuring, and delivering on team commitments, as well as pivoting when necessary to keep the team focused on the most impactful work.
ABOUT YOU 🦄
- You have deep expertise in data analytics and a strong understanding of data systems and processes, especially delivery of scalable, repeatable self service analytics.
- You have 5+ years of experience managing data analytics professionals. You’ve successfully led a team of embedded professionals and know how to cultivate a culture of autonomy within cross-functional teams.
- Expert experience in experimentation analytics and are excited to help us guide systematic approaches to experimentation design, implementation, and assessment across the company.
- You are focused on making sure that analytics tools are accurate, complete, and timely. Analytics is a strategic asset but also a strategic risk if numbers are wrong.
- You can tailor your management style to suit your employees, identifying where some people might succeed with a more hands-off approach than others.
- You excel at stakeholder management and can build effective relationships across the organization. You self-organize a peer group to gain feedback.
- You demand proactive involvement from your team. Your team doesn’t dispense with “asks” because you’ve already anticipated what questions teams will have and have built tooling to answer those questions.
- You want to continue to grow and learn. You are excited by hard problems and big challenges.
- Experience in fintech, banking, or finance is a plus.
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 $160,000 - $190,000 /year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.
Rocket Money 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.
Ready to apply?
Apply to Rocket Money
Staff ML Engineer, Product
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The ideal candidate is local to and interested in working from any of our offices (Silver Spring, NYC, SF, Miami, Denver) local to them 1-2x per week.
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 🤝
Machine Learning Engineers at Rocket Money further our mission by building products that deepen customer relationships with our many financial products. Our work ranges from transaction enrichment to personalization to cross-functional tools that support various AI product initiatives. We work closely with product teams to develop features that help customers understand, track, and improve their personal finances. We have a strong preference for team players that are comfortable collaborating across teams, know how to support strategy with ML and AI powered user experiences, can deliver scalable and high quality user experiences, and understand the effects of their products on end users. At the Staff level, Machine Learning Engineers are expected to build broad expertise into our products and the ML solutions that power them as well as drive technical progress for the team.
ABOUT THE ROLE 🤹
As a Staff Machine Learning Engineer at Rocket Money, you will be at the forefront of our ML and AI product development, bringing your expertise to design, implement, and maintain sophisticated ML systems that drive our product experiences. You will:
- Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite, proactively identifying technical challenges before they become issues.
- Design, implement, and maintain robust evaluation frameworks. You ensure that ML/AI systems can be constantly improved and create frameworks so that others can do the same.
- Develop novel new product experiences that you are uniquely positioned to enable for users. Help Rocket Money capitalize on it’s unique dataset and scale. Guide others to help generate impact through effective technical leadership and partnership with product.
- Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams. Rigorous technical critique and oversight coupled with effective communication of business impact are musts.
- Provide technical mentorship, fostering an environment where everyone can contribute to high-impact work. You will raise the level of everyone around you.
Potential Projects:
- Develop comprehensive evaluation and ML Ops frameworks that enable systematic assessment of model performance, supporting rapid iteration and improvement of AI/ML product features.
- Scale transaction metadata generation systems to billions of financial transactions in a consumer facing app. Implement AI assisted transaction management and personalization features such as personalized categories, income and rent detection, and subscription identification.
- Implement effective user feedback mechanisms that enable measurement of ML feature product quality and constant improvement.
- Architect user facing predictive features that depend on fast moving and large scale user transaction data.
ABOUT YOU 🦄
- 8+ years of professional experience in machine learning engineering or data science roles, with a proven track record of designing and implementing ML systems at consumer tech scale and speed.
- Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms to support rapid product development cycles and systematic model evaluation.
- Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications.
- Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks. Working Typescript knowledge is a plus. You understand ML methods at a fundamental level - deep experience in NLP techniques is a plus.
- You are a master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation. You’ve owned the development, launch, and maintenance for several scaled ML/AI powered product experiences.
- You understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments.
- You are a technical leader who can identify both emergent technical opportunities and gaps relative to best practice. Your strong communication skills enable your team to capitalize on these opportunities and generate impact.
- You care about products and user experiences, not publications. You are a practitioner first and thrive at the (messy) intersection of the real world and cutting edge approaches.
WE OFFER 💫
- Health, Dental & Vision Plans
- Competitive Pay
- 401k Matching
- Unlimited PTO
- Lunch daily (in-office only)
- Snacks & Coffee (in-office only)
- Commuter benefits (in-office only)
Additional information: Salary range of $210,000 - $260,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.
Rocket Money 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.
Ready to apply?
Apply to Rocket Money