Hyderabad, Telangana
Open 3 months, first seen by us 97 days agoDesign and optimize investment data pipelines using ETL/ELT patterns
Build REST APIs exposing curated holdings, performance and risk data
Build Python dashboards for portfolio views and performance trends
Own CI/CD pipelines for data pipelines, APIs and UI applications
Implement data quality checks for reconciliation, completeness and timeliness
Design, develop, and optimize investment data pipelines using ETL/ELT patterns.
Expose curated investment datasets (holdings, performance, risk metrics) via secure REST endpoints.
Build Python based dashboards and UI applications (Streamlit, Dash, Panel).
Own CI/CD pipelines for data pipelines, investment data APIs, and Python UI applications.
Implement data quality checks specific to investment data (reconciliation, completeness, timeliness).
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 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.
Open 3 monthsWe first saw this posting 97 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 97
Up longer than most. Similar jobs usually come down between day 6 and day 54.
Well past Charles Schwab’s usual: its jobs come down by about day 34.
From 11,206 similar postings that came down, and 98 of Charles Schwab’s. Coming down is not always a hire.
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- 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.
- 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).
- 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.
- 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.
- 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 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).
- 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.
- 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.
- 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
- Experience with distributed processing frameworks (Spark, Beam, or Flink). - Proficiency with CI/CD, Docker, and IaC (Terraform or GCP Deployment Manager). Preferred Qualifications:
What you have The SAM Data Technology 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 Sr. Specialist (Level 56), 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. Key Responsibilities:
- 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.
- 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
- 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.
- 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).
- 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).
- 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.
Complete your application on www.schwabjobs.com. The employer’s form will show what is required.
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
At Charles Schwab, our purpose is simple: we champion client’s goals with passion and integrity. Guided by honesty, mutual respect and a commitment to doing what’s right, we bring innovation, education, and service together to help shape financial futures. Our people are the foundation of our success – they approach their work with curiosity and collaboration, coming together to create solutions that make a meaningful impact for clients and communities. As we expand into India, we are bringing this same culture of inclusion, learning, and opportunity to new talent. Joining us means becoming part of a global team where your work matters and your future can take shape.
Our Hyderabad location is central to Schwab’s growth, bringing together talented people and technology to drive innovation, scale and efficiency. Here, you will work alongside teams who create solutions that support millions of clients every day. The work you do is more than daily operations – it’s a chance to experiment, learn, and build within a values-driven, supportive environment. This is a unique opportunity to be part of our early growth phase and shape something new, backed by the stability and strength of a Fortune 500 company. Your impact begins on day one, and your contributions will help define our future in the region.
The SAM Data Technology 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 Sr. Specialist (Level 56), 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.
Key Responsibilities:
Required Qualifications:
Preferred Qualifications:
At Schwab India, you’re empowered to shape your future. We support your growth through meaningful work, continuous learning, and a culture rooted in trust and collaboration – so you can build the skills to make a lasting impact. Our benefits are designed to care for your wellbeing, your family, and your long-term financial security.
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Hyderabad, Telangana
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