Job Summary We're looking for an experienced Data Warehouse Engineer to join our clients team in San Antonio on a contract-to-hire basis. The ideal candidate will have strong hands-on experience with Teradata, Informatica, and Azure cloud environments. In this role, you'll be essential in designing, developing, and maintaining our data warehouse solutions to support key business functions. location: San Antonio, Texas job type: Contract salary: $52 - 57 per hour work hours: 8am to 5pm education: Bachelors Responsibilities • Oversee the entire development lifecycle for a team of Data Engineers and software engineers with assigned programs and systems • Review coding for a group of Data Engineers and software engineers to ensure alignment with business needs, change control procedures, and Frost development standards • Collaborate with and provide technical advice to Data Analysts, Product Owners, Business Analysts, Data Engineers, Software Engineers, and lines of business to estimate level-of-effort, timing, and feasibility, to design new systems based on business requirements, and to optimize system and program functionality • Ensure your team has the necessary tools and guidance to deliver top quality systems. • You will be responsible for overseeing the entire development lifecycle for a team of software engineers. Qualifications • Master's degree in Computer Science, Engineering, in a related field, or equivalent experience • Demonstrated ability to working in a Teradata RDBMS environment with a minimum of 6 years of experience • Knowledge of system monitoring and maintenance for Teradata environment such as User Access, System Workload, Security and Backup/Recovery • Demonstrated experience creating/developing/maintaining databases and associated DDL objects/schemas, such as Tables, Views, Macros, etc • Demonstrated experience creating and maintaining user/application access layers and environments • Demonstrated experience performing research and supporting Users, application developers, and Data Engineers • Demonstrated experience establishing and supporting Change Management for Data Warehouse Environment (Lower environments to Production and Performance benchmarks and tuning etc) • Demonstrated experience independently identifying issues and designing solutions for the biggest and most complex programs and systems at the bank • Demonstrated experience synthesizing and directing coding efforts for a group of Software Engineers and Data Engineers • Experience leading a team • Current knowledge of emerging market trends, Cloud Native databases, development methodologies, and development frameworks that improve database application security • Strong understanding of commonly used Data warehouse/Data platform concepts, practices, and procedures associated with programming • Conversant in working with Agile teams and CI/CD processes • Demonstrated experience in enabling automation and data literacy for the user community of the ecosystem Additional Preferred Skills • Managing databases and data workloads in Cloud • Teradata Vantage Cloud ( VCE) in Azure • Experience with Cloud data platforms • Informatica PowerCenter or IDMC • Python • Teradata TDP on mainframe • API experience Skills • Communication Skills: A data warehouse engineer must be able to clearly explain complex technical concepts to non-technical stakeholders (like business analysts or managers) and effectively collaborate with other team members. This includes active listening to understand business requirements accurately. • Problem-Solving: They need to be able to identify and troubleshoot issues within the data pipeline, optimize performance, and devise efficient solutions for data storage and retrieval challenges. • Attention to Detail: Precision is vital. A small error in a data transformation script can lead to significant inconsistencies, so meticulousness is essential for ensuring data integrity and accuracy. • Teamwork and Collaboration: Data warehousing projects are rarely a solo effort. Engineers must work closely with data scientists, business intelligence developers, and business users to deliver solutions that meet diverse needs. • Adaptability and Continuous Learning: The technology landscape for data is constantly evolving. A good data warehouse engineer is eager to learn new tools, platforms (like different cloud services), and methodologies to stay current and effective. Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status. At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days.