Hyderabad, Telangana
Open 3 months, first seen by us 97 days agoLead data engineering work on pipelines that curate financial datasets for models
Co-develop tested production code with quant researchers and manage CI/CD processes
Develop control frameworks to deploy and manage quant models in production
Build dashboards and tooling to monitor model performance and stability
Lead data engineering implementation efforts for data processing pipelines that curate financial datasets
Co-develop production code in conjunction with quant researchers to deliver performant software
Develop control frameworks required to deploy and manage quant models in production environments
Build data visualizations and other tooling to enable model researchers to efficiently monitor model performance and stability
Three plus years of experience with Python or Java
Degree in computer science, information systems, math, engineering, or other technical field, or equivalent experience
Experience building data pipelines and related processes with large financial research timeseries datasets
Experience leveraging continuous integration/development tools (e.g. Jenkins, Docker, Containers, OpenShift, Kubernetes, and container automation) in a CI/CD pipeline
Proficiency in one or more programming languages used for quantitative investment model development and analysis (e.g Python or R)
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.
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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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Degree in computer science, information systems, math, engineering, or other technical field, or equivalent experience Three plus years of experience with Python or Java Proficiency in one or more programming languages used for quantitative investment model development and analysis (e.g Python or R)
Three plus years of experience with Python or Java Proficiency in one or more programming languages used for quantitative investment model development and analysis (e.g Python or R) Experience building data pipelines and related processes with large financial research timeseries datasets
Familiarity in developing distributed data processing and streaming frameworks and architectures Experience leveraging continuous integration/development tools (e.g. Jenkins, Docker, Containers, OpenShift, Kubernetes, and container automation) in a CI/CD pipeline Refines data analysis approaches to support informed business decision-making Enhances processes to ensure legal and ethical data compliance
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Yes. We’ve followed one other Senior Specialist - Data Engineering job there since October 2026. It came down after 0 days.
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.
Key Responsibilities:
Apply knowledge and take a lead role in implementing quantitative investment research products within the designated business area to support organizational goals and objectives, including gathering and collecting time series financial data, and developing quantitative models, analytics, and tests
Develop control frameworks required to deploy and manage quant models in production environments.
Lead data engineering implementation efforts for data processing pipelines that curate financial datasets into representations fit for model research and production applications.
Co-develop production code in conjunction with quant researchers to deliver performant software (supported by comprehensive test coverage) that meet investment objectives while minimizing the risk of model errors; manage SDLC processes to enable CI/CD.
Build data visualizations and other tooling to enable model researchers to efficiently monitor model performance and stability, as well as to interpret model outputs.
Required Qualifications:
Degree in computer science, information systems, math, engineering, or other technical field, or equivalent experience
Three plus years of experience with Python or Java
Proficiency in one or more programming languages used for quantitative investment model development and analysis (e.g Python or R)
Experience building data pipelines and related processes with large financial research timeseries datasets
Proficiency in designing quant-research optimized data models that support efficient data retrieval and aggregation of financial datasets, including complex hierarchical structures
Familiarity in developing distributed data processing and streaming frameworks and architectures
Experience leveraging continuous integration/development tools (e.g. Jenkins, Docker, Containers, OpenShift, Kubernetes, and container automation) in a CI/CD pipeline
Refines data analysis approaches to support informed business decision-making
Enhances processes to ensure legal and ethical data compliance
Innovates solutions to enhance data visualization clarity and utility
Develops continuous monitoring mechanisms to ensure compliance and optimize performance of quantitative models in production
Utilizes statistical techniques and hypothesis testing to analyze large datasets to support decision-making
Leverages expertise in quantitative systems architecture to enhance the business impact of software solutions
Optimizes software development testing and verification to enhance component reliability and address operational problems
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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