---
title: 'Senior Data Engineering Manager at Stash'
canonical: 'https://feeny.ai/job/senior-data-engineering-manager-stash-new-york-0rpxpjwxqe3h'
type: 'job'
last_seen: '2026-11-02'
---

# Senior Data Engineering Manager at Stash

- **Company:** Stash
- **Location:** New York, NY
- **Posted:** 2026-10-29
- **Last confirmed live:** 2026-11-02
- **Apply:** https://ats.comparably.com/api/v2/stash/post/8333985:?gh_jid=8333985

## Job description

Want to help everyday Americans invest and build wealth? Financial inequality is increasing, and too many people are getting left behind. At Stash, we’re passionate about democratizing wealth creation through education, advice, and products that help customers achieve greater financial freedom.

We’re looking for a Senior Manager, Data Engineering to lead and grow the team responsible for the data platform behind Stash’s analytics, data science, operations, and business reporting.

This is a hands-on leadership role. You’ll set the technical direction for our AWS-based data platform, develop the engineers on your team, and strengthen how Data Engineering works with Backend Engineering, Infrastructure, SRE, Analytics Engineering, and Data Science. Your first mandate is practical: improve reliability, reduce manual operational work, modernize how we deploy and monitor pipelines, and create clear ownership for how new data enters the platform.

You’ll inherit meaningful systems and real constraints—not a blank slate. The right person will know when to modernize, when to simplify, and when the best architecture is the one the team can operate reliably.

This position operates on a hybrid schedule, requiring you to be on-site in our New York office at least three days per week to work with stakeholders and foster team collaboration.

What you'll do:

- Lead and grow the Data Engineering team. Coach engineers, set clear expectations, create development opportunities, and build a culture of ownership, accountability, and technical excellence.
- Own the Data Engineering roadmap. Translate company priorities and platform risks into a sequenced plan that balances reliability, automation, security, cost, and new capabilities.
- Raise the operational bar. Improve observability, alerting, runbooks, incident response, service-level expectations, and recovery practices so problems are found and resolved before downstream teams lose trust.
- Reduce manual work. Identify repetitive and fragile operational processes, prioritize them by risk and effort, and automate the work that consumes engineering capacity.
- Modernize how the platform ships. Establish CI/CD, Infrastructure as Code, testing, code review, documentation, and rollback practices for data pipelines and supporting infrastructure.
- Evolve our AWS data platform. Guide architecture and hands-on design across ingestion, distributed processing, storage, and warehouse delivery. Improve performance and cost without introducing unnecessary complexity.
- Establish clear ingestion ownership with Engineering. Partner with Backend, Infrastructure, SRE, and Security so new product systems ship with reliable data contracts, production-ready ingestion, appropriate access controls, and named operational owners.
- Protect data quality from source to warehouse. Define standards for schemas, keys, grain, semantics, validation, lineage, backfills, and cutovers. Ensure source changes do not silently alter downstream metrics or models.
- Partner with Analytics Engineering and Data Science. Deliver reliable, well-documented platform inputs and agree on clear boundaries between ingestion, source normalization, business-facing marts, and analytical use cases.
- Make sound architecture tradeoffs. Evaluate batch, higher-frequency batch, and real-time patterns based on the business requirement, operational cost, and team capacity—not novelty.
- Communicate clearly. Give technical and business leaders a direct view of platform health, risks, priorities, tradeoffs, and progress.
- Use AI tools with judgment. Apply AI-assisted development and operational workflows where they improve quality and speed, while protecting sensitive data and owning the correctness of the output.

What we're looking for:

- 8+ years of experience in data engineering, platform engineering, or a related field, including experience leading or managing data engineers.
- Experience leading a small team where you remained close enough to the work to review designs, guide incidents, and unblock difficult technical decisions.
- Strong production experience building or supporting distributed data pipelines using tools such as EMR, Glue, Delta, Iceberg, Databricks and orchestration tools.
- Hands-on experience designing, deploying and operating data workloads in AWS cloud environment.
- Strong programming(preferred python and scala)  and SQL experience in your background.
- Experience designing, implementing, and operating real-time or streaming data pipelines.
- A track record of operating business-critical data systems, including observability, incident response, data quality, performance, and cost management.
- Experience introducing or improving CI/CD, Infrastructure as Code, automated testing, code review, and secure deployment practices.
- Strong architectural judgment. You can distinguish a real scaling requirement from a process or reliability problem, and you prefer maintainable systems over unnecessary complexity.
- Experience defining ownership across Data Engineering, Backend Engineering, Infrastructure or SRE, Analytics Engineering, and downstream data consumers.
- Strong people leadership. You can develop experienced engineers, delegate meaningful ownership, give direct feedback, and hire thoughtfully as the team grows.
- Clear communication with both technical and non-technical partners. You can explain an incident, an architecture decision, or a delayed commitment without hiding the tradeoff in jargon.
- Sound judgment in a regulated environment, including secure data handling, least-privilege access, audit-ability, and change control.

Gold Stars:

- Experience working in fintech, financial services, brokerage, banking, or another regulated environment.
- Experience supporting production data science or machine-learning workflows.
- Working knowledge of dbt and modern analytics engineering practices.
- Experience evolving a platform from manual operations toward reliable self-service and automation.
- Experience with Datadog or similar observability platforms for pipelines and infrastructure.
- Experience evaluating or implementing higher-frequency or real-time data patterns when the use case justified them.
- Experience using AI coding assistants or agentic workflows in production engineering work, with appropriate validation and security judgment.

#LI-Hybrid

Our Commitment to Diversity, Equity, and Inclusion

We proudly celebrate the unique qualities that make you you, 365 days a year, and not just because it’s the right thing to do or good for business. We embed the principles and practices of diversity, equity, and inclusion (DEI) into all that we do to prioritize people, a Stash [core value](https://www.stash.com/careers), and to ensure Stashers of all backgrounds and experiences can be their authentic selves.

We are also proud to be the first and only venture-backed fintech to join the[CEO Action for Diversity & Inclusion™](https://lp.stash.com/news/stash-joins-ceo-action-for-diversity-inclusion-initiative/), and as an Equal Opportunity Employer, Stash is committed to building an inclusive environment for people of all backgrounds.

If you require any reasonable accommodations to make your application process more accessible, please reach out to recruiting@Stash.com.

Helping You Invest in Yourself

- Comprehensive total rewards package, comprising compensation (salary and equity) and health care benefits
- Complimentary subscription to[Stash+ account](https://www.stash.com/pricing)
- Flexible work policy – We offer a flexible work environment that blends working from home with in-person collaboration at our NYC office to support productivity and team culture.
- Flexible PTO
- Annual learning and development reimbursement benefit
- Work-from-home equipment stipends; home internet subsidy
- Paid Parental Leave (offerings for birth giving and non-birth giving parents) Primary & Secondary
- Enhanced health and wellness benefits through One Medical, Gympass, and Maven Health

External Recognition for Stash

- Benzinga’s 2023 Best Brokerage for Beginners and Best Robo-Advisor Awards
- Qorus-Accenture’s 2023 Banking Innovation Awards
- USA Today and Statista’s 2023 Top 500 Best Financial Advisory Firms
- Comparably's Best Company Awards: Best Places to Work, Best Company Outlook, and Best Engineering Team for Diversity, Women, Culture, and more! (2023)
- Fintech Breakthrough Award: Best Personal Finance App (2023)
- BuiltIn’s Best Places to Work (2022, 2021, 2020, 2019)
- Forbes Fintech 50 (2021, 2020, 2019)
- Best Digital Bank, Finovate Awards (2020)
- Tearsheet Challenge Awards, Best Banking Card Product - Stock-Back® Card, 2020
- LendIt Fintech Innovator of the Year (2020, 2019)

Salary Range: $180,000 - $220,000

The base salary range represents the reasonably anticipated low and high end of the salary range for this position. Actual salaries will vary and will be based on various factors, such as the candidate’s qualifications, skills, experience and competencies, as well as internal equity and alignment with market data for companies of our size and industry.

**No recruiters, please**

## About Stash

## Company Overview
- **One-liner**: Stash is a digital financial platform that helps everyday Americans save, invest, and build long-term wealth through a subscription-based app offering personalized guidance, fractional investing, banking, and financial education.
- **Entity Type**: Private (Series H, May 2025); acquisition by Grab Holdings announced February 2026 for ~$425M enterprise value (pending close)
- **Headquarters**: New York City, New York, United States
- **Founded**: 2015
- **Founders**: Brandon Krieg and Ed Robinson (Co-CEOs)

## Core Business
- **Primary industry**: Financial Services / Fintech – digital investing, banking, and financial wellness
- **Target customers**: B2C (everyday Americans, especially those new to investing) and B2B (employers via StashWorks)
- **Mission**: Make investing easy and affordable for everyone; empower everyday Americans to build wealth starting with just $5

## Products & Services
- **[Stash App]**: Subscription-based investing and banking platform that offers fractional stock investing, automated managed accounts (robo-advisor), retirement accounts (IRA), and custodial accounts for children. Includes personalized financial guidance and education.
- **[Stock-Back® Debit Card]**: Debit card that rewards purchases with fractional shares of stock (up to 3% back).
- **[StashWorks]**: Employer-sponsored financial wellness benefit that helps employees build healthier financial habits through education and guided tools.
- **[AI Money Coach]**: AI-powered conversational financial guide launched in late 2024, offering personalized, audit-friendly recommendations across investing, banking, and saving. Drives high engagement (~1 in 2 users take a positive action same day).

## Market Standing
- **Valuation/Market Cap**: Enterprise value of US$425 million at the time of Grab acquisition announcement (February 2026). Stash raised a $146M Series H in May 2025.
- **Key Metric**: Over 1 million active paid subscribers; more than $5 billion in assets under management (AUM) as of early 2026.
- **Total Funding**: Over $146M raised in Series H (May 2025) – cumulative funding not fully disclosed.
- **Notable Investors/Partners**: Backed by venture investors (names not specified in sources); acquired by Grab Holdings Limited (parent company). Banking services provided by Stride Bank, N.A.
- **Growth Signals**: Profitable on an Adjusted EBITDA basis post-Series H; expected to generate over $60 million in Adjusted EBITDA by 2028. Cash-flow positive business. Acquisition by Grab provides resources for U.S. growth and potential expansion into Southeast Asia.

## Competitive Advantages
- **Fractional investing pioneer**: Early mover in making stock investing accessible with small amounts.
- **All-in-one platform**: Combines investing, banking, retirement, and education in a single subscription – competing with Robinhood, Betterment, and Acorns.
- **AI-first personalization**: AI Money Coach delivers compliant, actionable guidance at scale – a differentiator in regulated financial services.
- **Strong brand recognition**: Named to Forbes Fintech 50, Comparably’s Best Engineering Team, Built In NYC Best Places to Work, and other awards.
- **Employer channel**: StashWorks offers a B2B distribution moat that deepens user engagement.

## Strategic Focus
- **Post-acquisition growth**: Remain a standalone U.S. brand under Grab while leveraging Grab’s technology and capital to accelerate AI innovation and product development.
- **Expand financial wellness suite**: Continue building AI Money Coach and StashWorks to increase subscriber lifetime value.
- **Potential international expansion**: Grab plans to explore introducing Stash’s investing solutions (including AI Money Coach) in Southeast Asia long-term.
- **Profitable scaling**: Maintain the path to $60M+ Adjusted EBITDA by 2028 through high-margin subscription revenue.

## Why Work Here
- **Culture**: Emphasis on “Prioritize People,” “Take Ownership,” “Create Solutions,” and “Obsess Over The Customer.” Diverse and inclusive culture cited as core value.
- **Work policy**: Hybrid with NYC office presence required (not fully remote).
- **Benefits**: Paid parental leave, excellent medical/dental/vision insurance, flexible time off.
- **Awards & recognition**: Comparably’s Best Engineering Team (2023), Best Places to Work (2023), Built In NYC’s Best Midsize Companies to Work For, USA Today Top 500 Best Financial Advisory Firms (2023).
- **Team**: Approximately 128 employees in the US (per LinkedIn). Notable alumni from JPMorgan Chase, Goldman Sachs, PayPal, Meta; current team includes engineering, product, data science, marketing, operations.
- **Growth opportunity**: Joining at a pivotal moment post-acquisition with access to Grab’s resources – offers exposure to high-scale fintech innovation and potential international projects.

## Sources
1. [stash.com - Careers Page](https://www.stash.com/careers)
2. [stash.com - About Page](https://www.stash.com/about)
3. [stash.com - Homepage](https://www.stash.com/)
4. [linkedin.com - Stash Company Profile](https://www.linkedin.com/company/stashfinancial)
5. [investors.grab.com - Grab Acquisition Announcement](https://investors.grab.com/news-and-events/news-details/2026/Grab-Accelerates-Financial-Services-Roadmap-with-Acquisition-of-Digital-Investing-Platform-Stash-Financial-Inc--2026-5wydDSQuVA/default.aspx)

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