About
At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together.
We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).
Schwab Asset Management (SAM) is a leading asset manager supporting mutual funds, ETFs, and managed account products governed under stringent regulatory and compliance requirements. SAM operates in a
multi-cloud, multi-custodian, multi-vendor ecosystem
, relying on a diverse set of external platforms such as Vestmark, Aladdin, Eagle, and others to serve its investment, operational, and regulatory functions.
This role sits directly within
SAM Data team
, the team responsible for designing, building, operating, and enhancing SAM Data products , platform capabilities underpinning SAM Data platform.
The SAMDA Data Engineering team builds and enhances cloud-native data pipelines and data-platform capabilities that support Schwab Asset Management's analytical, operational, and regulatory data needs. As a
Data Engineer
, you will take on expanded ownership of data pipeline design, cloud data engineering patterns, and the development of scalable data solutions across Snowflake and Google Cloud Platform (GCP).
Engineers at this level operate with
greater independence
, take lead roles in technical problem-solving, and contribute to shaping best practices for data engineering within SAMDA.
Responsibilities
Design & Build Investment Data Pipelines
Design, develop, and optimize
investment data pipelines
using ETL/ELT patterns.
Integrate data from custodians, vendors, and internal platforms into curated datasets.
Build reliable workflows using
GCS, Dataproc, Cloud Dataflow, Composer (Airflow), and Pub/Sub
.
Implement scalable transformations in
Snowflake
and other cloud data warehouses.
Investment Data Modeling
Design
portfolio, transaction, pricing, and performance data models
aligned to investment use cases.
Apply Kimball/star schema patterns and domain-driven modeling for analytics and reporting.
Optimize schemas for
API consumption, dashboards, and quantitative analysis
.
Data APIs for Investment Use Cases (Full Stack)
Design and implement
Investment Data APIs
using
Python
Expose curated investment datasets (holdings, performance, risk metrics) via secure REST endpoints.
Enable programmatic access for portfolio managers, analysts, and downstream applications.
Apply authentication, authorization, and data-entitlement controls consistent with regulated investment data.
Python Dashboards & Investment Analytics UI
Build
Python-based dashboards and UI applications
(Streamlit, Dash, Panel).
Create interactive visualizations for
portfolio views, performance trends, and risk insights
using
Plotly, Matplotlib, and Seaborn
.
Translate complex investment datasets into intuitive, self-service analytical experiences.
Optimize dashboard performance for large portfolios and time-series data.
Advanced Cloud & Application Engineering
Build data and application services using
Cloud Run, Cloud Functions, and Cloud SQL
.
Apply distributed processing frameworks (
Apache Spark, Beam, Flink
) for large-scale investment datasets.
Package and deploy APIs and dashboards using
Docker
.
DevOps, CI/CD & Automation
Own CI/CD pipelines for
data pipelines, investment data APIs, and Python UI applications
.
Use
Git/Bitbucket/Bamboo, Jenkins, GitHub Actions, Maven, Nexus
for build and release automation.
Data Quality, Controls & Reliability (Investments)
Implement data quality checks specific to investment data (reconciliation, completeness, timeliness).
Monitor pipelines, APIs, and dashboards to ensure reliable delivery of investment insights.
Troubleshoot complex data issues impacting portfolio, performance, or risk reporting.
Technical Leadership & Collaboration
Partner closely with
Investment, Portfolio Management, Risk, Business Intelligence and Operations teams
.
Provide mentorship and technical guidance to junior engineers.
Clearly communicate investment data concepts to technical and non-technical stakeholders.
What you have
Required Qualifications
Bachelor's degree in Computer Science, Information Technology, or equivalent experience.
3-5 years of experience building cloud-based
investment or financial data platforms
.
Hands-on experience with
Snowflake
and
GCP
services (GCS, Cloud Run, Cloud Functions, Pub/Sub, Composer, Cloud SQL).
Strong
Python
skills for data engineering, API development, and visualization.
Experience building
REST APIs
using FastAPI, Flask, or similar frameworks.
Experience building
Python dashboards/UI
(Streamlit, Dash, Panel).
Experience with distributed processing frameworks (
Spark, Beam, or Flink
).
Proficiency with
CI/CD
,
Docker
, and
IaC
(Terraform or GCP Deployment Manager).
Preferred Qualifications
Experience with
investment management data
(portfolios, performance, risk, pricing).
Familiarity with custodians, portfolio accounting, or market data vendors.
Knowledge of data governance, entitlements, and controls in regulated investment environments.
Ability to lead cross-functional investment data initiatives.
Strong documentation and communication skills.
In addition to the salary range, this role is also eligible for bonus or incentive opportunities.
What's in it for you
At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.
We offer a competitive benefits package that takes care of the whole you - both today and in the future:
401(k) with company match and Employee stock purchase plan
Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
Paid parental leave and family building benefits
Tuition reimbursement
Health, dental, and vision insurance
What's in it for you:
At Schwab, we're committed to empowering our employees' personal and professional success. Our purpose-driven, supportive culture, and focus on your development means you'll get the tools you need to make a positive difference in the finance industry. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.
We offer a competitive benefits package that takes care of the whole you - both today and in the future:
401(k) with company match and Employee stock purchase plan
Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
Paid parental leave and family building benefits
Tuition reimbursement
Health, dental, and vision insurance
Schwab is an affirmative action employer, focused on employing and advancing in employment, qualified women, racial and ethnic minorities, protected veterans, and individuals with disabilities in the workplace. If you have a disability and require reasonable accommodations in the application process, contact Human Resources at applicantaccessibility@schwab.com or call 800-275-1281.
Languages
- English
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