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# Data Engineer

- **Company:** Charles Schwab Corporation
- **Location:** Southlake, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, JIRA, BigQuery, Business Systems, Cloud Computing, Cloud Storage, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Mapping, Data Systems, Relational Databases, DevOps, Microsoft Exchange Server, Data Flow Control, Github, Python (Programming Language), Liquibase, Systems Development Life Cycle, Cloud Services, Software Construction, Software Deployment, SQL Databases, Unstructured Data, Enterprise Data Management, Google Cloud, Information Technology, Data Analytics, Enterprise Integration, Data Management, Workday, Atlassian Bamboo
- **Published:** November 6, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-engineer-southlake-tx--c5dca608-76cc-455d-8833-4d1a60ac38dd

## About the Role

Problem Solving Skills, Finance, Microsoft Exchange Server, Technical Support, Business Support, Scalable System Development, Technical Leadership, Data Management, Cloud Computing, Operational Support, As a hands-on data engineering professional, you will leverage cloud technologies, data integration tools, and software engineering best practices to create reliable end-to-end data solutions. You will contribute throughout the development lifecycle, from analyzing business requirements and translating them into technical designs to implementing data quality controls, supporting production deployments, and driving continuous improvement initiatives. Success in this role requires strong problem-solving skills, adaptability, collaboration across global teams, and the ability to influence outcomes through data-driven recommendations., * Bachelor's degree in Computer Science, Information Technology, or a related technical field; Master's degree preferred.

 * 3+ years of data engineering, ETL development, or data integration experience.
 * 3+ years of experience designing, developing, and supporting enterprise data pipelines.
 * Strong experience with SQL and relational database technologies.
 * Hands-on experience with Google Cloud Platform (GCP), including BigQuery, Cloud Storage, Dataflow, Composer, and Pub/Sub.
 * Python development experience for data engineering and automation solutions.
 * Experience developing and supporting ETL processes and enterprise data integration solutions, including Informatica Intelligent Cloud Services (IICS).
 * Experience implementing data quality, validation, exception handling, and data governance best practices.
 * Experience gathering, analyzing, and translating business requirements into technical solutions and source-to-target data mappings.
 * Ability to design and optimize solutions for processing large volumes of structured and unstructured data.
 * Experience working within Agile software development environments.
 * Strong problem-solving, analytical, and decision-making skills.
 * Demonstrated ability to collaborate effectively with cross-functional teams and communicate technical concepts to diverse audiences.
 * Ability to mentor junior team members and contribute to team success.
 * Commitment to continuous learning and adoption of emerging technologies.

Preferred Qualifications

 * Experience supporting enterprise platforms such as Workday, BMC Remedy Helix, Jira, Rally, or similar business systems.
 * Experience with DevOps and software delivery tools including GitHub, Bamboo, and Liquibase.
 * Strong understanding of data architecture principles, development standards, and engineering best practices.
 * Experience creating and maintaining source-to-target mapping documentation.
 * Ability to identify operational challenges, recommend solutions, and drive process improvements.
 * Strong written and verbal communication skills, including technical documentation.
 * Experience working within highly collaborative, fast-paced, and evolving technology organizations.