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Added 2 mins ago
Software Engineer III - Agentic Data Quality Platform
JPMC page
Plano, TX
Hands on design and development of agentic production data platform with full stack application ownership.
Added 34 mins ago
Senior Software Engineer/Tech Lead
Eli Lilly and Company
United States
…design, code, and deliver critical components (primarily in Python) while overseeing development teams through design reviews, technical guidance, and quality gates to ensure solutions are…
Added 36 mins ago
S
Senior AI Security Automation Engineer
SSB&T
Quincy, MA · Princeton, NJ · Boston, MA · Clifton, NJ · Austin, TX
- $120,000 to $202,500 USD / year
Drive the architecture and hands-on delivery of scalable, reliable agentic AI platforms for security workflows
Added 49 mins ago
Applied Scientist, AWS Agentic AI
Amazon Web Services, Inc.
Santa Clara, CA
Most AI assistants today start every conversation from scratch, forgetting what they learned yesterday about developer's codebase, patterns, and the way they like to work. Amazon Web…
Added 49 mins ago
Applied Scientist, AWS Agentic AI
Amazon.com Services LLC
Santa Clara, CA
…structure that makes real software navigable. Amazon Web Services (AWS) is assembling an elite team of scientists and engineers to fix that, and we are hiring an Applied Scientist to build…
Added 49 mins ago
Applied Scientist, AWS Agentic AI
Amazon Web Services, Inc.
Santa Clara, CA
…from scratch, forgetting what they learned yesterday about a developer's codebase, patterns, and way of working. Amazon Web Services (AWS) is assembling an elite team of scientists and…
Added 1 hour ago
T
Forward Deployment Engineer
TEKsystems
New York, NY
- $80 to $85 USD / hour
Design, build, and deploy AI-powered applications and agentic workflows
Added 1 hour ago
Machine Learning Engineer 5, Senior Manager - Intelligent Foundations and Experiences (IFX)
Capital One
McLean, VA · Richmond, VA
Use programming languages like Python, Scala, or Java
Added 1 hour ago
Senior AI & Full-Stack Product Engineer
FDC
Atlanta, GA
Languages & Frameworks: TypeScript/JavaScript, Python, React, Next.js, Node.js or comparable modern frameworks
Added 1 hour ago
Sr. Application Security Engineer
TUS GBT US LLC
United States
…application development into application security, bringing a developer's mindset to security and operations, and will mentor others while helping shape how the organization builds and…
Added 1 hour ago
C
AI Lead
Capgemini
Santa Clara, CA, CA
- $101,140 to $182,624 USD / year
…automation. The ideal candidate will have deep expertise in Python, SQL, ETL/ELT, cloud data platforms, Spark, and AI technologies, along with proven experience leading cross-functional…
Added 1 hour ago
Senior Machine Learning Engineer - AI Platform
Canada Workday ULC
CO
…challenging problems at the intersection of machine learning, agentic reasoning, and enterprise-scale systems. Our work delivers critical AI platform capabilities and differentiated,…
Added 1 hour ago
TT
Forward Deployed Engineer
True Talent Solutions Partners
New York, NY
- $180,000 USD / year
- Comfort working with Python and TypeScript, and familiarity with agentic AI systems or tools such as Claude Code, Cursor, or Codex.
Added 1 hour ago
Senior Software Engineer
CACI International
Washington, DC
…own, from traditional full-stack development to integrating agentic AI capabilities such as LLM-enabled features and intelligent document processing, and more. Strong engineering…
Added 1 hour ago
Senior DevOps Engineer
Blitzy
Cambridge, MA
…enterprise requirements into enterprise grade code with an agentic software development platform that can autonomously execute 80% of the quantum of software development work. We're backed…
Added 2 hours ago
Machine Learning Engineer
ServiceNow
Santa Clara, CA
LLMs/Agentic AI and MLOps are relevant, let's include those
Added 3 hours ago
Senior Applied AI Engineer
Givzey
United States
…responsible for delivering sophisticated AI capabilities, from agentic workflows and retrieval systems to autonomous business processes and intelligent product…
Added 3 hours ago
Cybersecurity engineer senior, Identity and Automation
Starbucks Coffee Company
WA
Engineer secure identity integrations for enterprise applications, AI assistants and agentic tools. Configure application and workload identities, API permissions, consent and access…
Added 3 hours ago
Agentic AI Engineer
Experis USA
Charlotte, NC
Design and develop agentic AI systems using LLMs and enterprise-ready integrations (e.g., AWS Bedrock, Anthropic API, and related services).
Added 3 hours ago
Senior Manager, Data Engineering, Applied AI Data Ingestion & Integration (DII)
BMO Bank N.A.
Chicago, IL
…stakeholders to push the adoption of Generative AI technologies and agentic flows across enterprise-wide applications and processes, and to develop partnerships with third-party providers…
Added 3 hours ago
Senior Data Engineering Manager
Stash
NY
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…
Added 3 hours ago
BC
Senior Data Scientist / AI Engineer
Bechtel Corporation
Reston, VA
- $123,400 to $178,500 USD / year
You are deeply engaged in emerging technologies: generative AI, deep learning, agentic and retrieval-based systems - and you advance solutions pragmatically, where they create the most…
Added 3 hours ago
Fraud AI/ML Data Scientist
FM Talent Source
United States
…analytical capabilities into production environments using AWS-native…
Added 3 hours ago
VT
Intern, Research - Applied AI & Software Development
Virginia Tech Applied Research Corporation
Arlington, VA
- $25 USD / hour
…the Decision Science Division (DSD). The position emphasizes Python programming, software integration, and practical artificial intelligence (AI) applications, with opportunities to support…
Added 3 hours ago
Data Scientist Manager
Ameriprise Financial Inc
Minneapolis, MN
Proven experience with modern data science tools, data visualization tools, and programming languages (e.g., Python, SQL, ML frameworks).

Stash

Senior Data Engineering Manager

NY, United States

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

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Job details

Pay: Salary Range: $180,000 - $220,000
Experience: 8+ years of experience in data engineering, platform engineering, or a related field, including experience leading or managing data engineers.
Posting language: English
Posted: Oct 29, 2026

Original 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.

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, 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™, 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
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**

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More about this job

Skills

Data engineering
AWS
Incident response
CI/CD
Infrastructure as code
Documentation
EMR
Databricks
Python
SQL
Cost management
Test automation
Leadership
Communication skills
Machine learning
dbt
Datadog

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