Senior Data Engineer - Cloud Data Platform

Charles Schwab; Southlake (TX); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

401(k) with company match

Employee stock purchase plan

Paid time off and sabbatical

Parental leave and family benefits

Tuition reimbursement

Health, dental, and vision insurance

Job summary

Charles Schwab in Texas seeks a Senior Data Engineer to shape scalable data pipelines and cloud architectures that enable BI and strategic decision‑making.

You will mentor teammates, drive ETL development, governance, and best practices while partnering with stakeholders and cross‑functional teams to deliver reliable, high‑performing data solutions in a hybrid on‑site work environment.

Qualifications

• Bachelor’s degree in CS/IT or related field.
• 10+ years of experience in ETL development, database engineering, and data platform support.
• 8+ years of hands-on experience with Informatica PowerCenter.
• 3+ years of experience with Informatica Intelligent Cloud Services (IICS) / IDMC.
• 3+ years of experience with Control‑M or similar workload automation tools.
• 3+ years of experience working with Google Cloud Platform (GCS, BigQuery).
• Strong expertise in SQL, relational databases, and data modeling concepts.
• Experience with Python, Perl, or other scripting languages for data processing and automation.
• Knowledge of data warehousing concepts and cloud‑based architecture patterns supporting batch and real‑time data processing.
• Experience with Agile development practices and tools such as Jira.
• Familiarity with source control, DevOps practices and CI/CD pipelines (e.g., Git, Jenkins, Bamboo, Concourse).
• Strong analytical, problem‑solving, and critical‑thinking skills with the ability to interpret and work with complex data sets.
• Effective communication and collaboration skills, with experience working across cross‑functional and distributed teams.

Responsibilities

• Design, develop, and deliver modern data pipelines and cloud‑based data architectures to support batch, near real‑time, and real‑time processing.
• Evaluate new tools and technologies, lead proof‑of‑concept efforts, and recommend improvements to the enterprise data ecosystem.
• Mentor team members and provide hands‑on technical leadership while driving standards and governance for data engineering.
• Plan, estimate, and prioritize technical initiatives in alignment with enterprise architecture and development methodologies.
• Drive data modeling, ETL development, performance tuning, and system optimization.

Skills

ETL development

Informatica PowerCenter

IICS/IDMC

Control-M

Google Cloud BigQuery

SQL & Data Modeling

Python scripting

Data warehousing concepts

Jira & Agile

Git/Jenkins/CI-CD

Analytical thinking

Cross-functional collaboration

Education

Bachelor’s degree in CS/IT

Tools

Jira

Git

Jenkins

Concourse

Job description

Your opportunity

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).

As a Senior Data Engineer supporting the Cloud Data Platform, you will play a critical role in shaping scalable, high‑performing data solutions that enable business intelligence and strategic decision‑making across the organization. This role is responsible for designing, developing, and delivering modern data pipelines and cloud‑based data architectures that support batch, near real‑time, and real‑time data processing. You will partner closely with business stakeholders to translate strategic objectives into technical solutions, collaborating with architects to define architecture patterns that meet both functional and non‑functional requirements.

You will evaluate and introduce new tools and technologies, lead proof‑of‑concept efforts, and recommend improvements to enhance the enterprise data ecosystem. Working cross‑functionally with engineering teams, product vendors, and global delivery partners, you will ensure the stability, scalability, and performance of data platforms while proactively addressing delivery risks and implementing solutions to maintain momentum.

In this role, you will contribute to planning, estimation, and prioritization of technical initiatives while establishing standards, best practices, and governance for data engineering and development processes. You will drive data modeling, ETL development, performance tuning, and system optimization efforts, ensuring alignment with enterprise architecture and development methodologies. As a senior contributor, you will mentor team members, provide hands‑on technical leadership, and foster a culture of continuous improvement, collaboration, and innovation. Your work will directly impact the organization’s ability to leverage data as a strategic asset, improving decision‑making, operational efficiency, and business outcomes.

What you have

Required Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or related field
• 10+ years of experience in ETL development, database engineering, and data platform support
• 8+ years of hands‑on experience with Informatica PowerCenter
• 3+ years of experience with Informatica Intelligent Cloud Services (IICS) / IDMC
• 3+ years of experience with Control‑M or similar workload automation tools
• 3+ years of experience working with Google Cloud Platform (GCS, BigQuery)
• Strong expertise in SQL, relational databases, and data modeling concepts
• Experience with Python, Perl, or other scripting languages for data processing and automation
• Knowledge of data warehousing concepts and cloud‑based architecture patterns supporting batch and real‑time data processing
• Experience with Agile development practices and tools such as Jira
• Familiarity with source control, DevOps practices and CI/CD pipelines (e.g., Git, Jenkins, Bamboo, Concourse)
• Strong analytical, problem‑solving, and critical‑thinking skills with the ability to interpret and work with complex data sets
• Effective communication and collaboration skills, with experience working across cross‑functional and distributed teams

Preferred Qualifications

• Experience in financial services or highly regulated industries
• Experience collaborating directly with vendors such as Informatica or Google to troubleshoot and resolve platform issues
• Ability to interpret trends, metrics, and data insights to inform business and technical decisions

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