Data Engineer
About The Company US Tech Solutions, Inc. is a global staff augmentation firm providing talent-on-demand and total workforce solutions. The company connects organizations with skilled professionals to support business and technology needs across a range of industries. In this contract opportunity, you will contribute your expertise to a data engineering program focused on building and maintaining a reliable, scalable, and well-governed analytical environment. About The Role US Tech Solutions, Inc. is seeking a Principal Data Engineer for a 12-month contract. This senior technical role is responsible for designing, implementing, and managing data infrastructure, with a particular focus on Databricks, cloud-based data engineering, and Azure resources. You will help shape data platform architecture and establish dependable practices for data integration, quality, operations, and governance. The role also offers an opportunity to guide junior data engineers and database administrators through mentorship and technical support. The position is expected to be mostly remote and is open to California residents only. Interviews will be conducted via Microsoft Teams. The anticipated schedule is four 10-hour workdays, Monday through Thursday, within a 4/40 workweek. The shift will fall between 7:15 a.m. and 6:00 p.m., with scheduling determined at the program manager’s discretion.
Qualifications
A bachelor’s degree in Computer Science, Data Engineering, or a related field is required. Additional qualifying professional experience may substitute for the required education on a year-for-year basis. Candidates should bring at least five years of professional experience specializing in Databricks, including substantial expertise in data engineering, data integration, data warehousing, and cloud computing. At least five years of experience developing data pipelines with Python is required. Applicants should also have three or more years of experience designing and developing Databricks medallion Lakehouse architectures, applying data governance principles, and implementing data quality best practices. One year of experience developing data models and one year managing Azure resources are also required, along with at least one year automating Azure data resources using DataOps practices. The successful candidate will have strong analytical ability and business acumen, excellent written and verbal communication skills, and a customer-service orientation. Strong organization and time-management skills are important, as is the ability to manage multiple tasks while maintaining careful attention to quality. You should be comfortable collaborating with a team and working independently with focus and self-direction.
Responsibilities
Design, implement, and manage scalable data infrastructure and platform components. Develop and maintain Python-based data pipelines and integration processes that support dependable analytical workloads. Build and enhance Databricks medallion Lakehouse architecture, data models, and data warehousing solutions. Apply data governance and data quality practices to help ensure data is consistent, reliable, and appropriately managed. Manage Azure resources and automate data resource operations through DataOps approaches. Contribute to the ongoing operation and improvement of the data platform, troubleshoot technical issues, and help maintain an effective analytical environment. Provide technical guidance, mentorship, and support to junior data engineers and database administrators. Communicate clearly with colleagues and stakeholders regarding requirements, progress, and technical considerations.
Benefits
This is a 12-month contract opportunity with a mostly remote work arrangement for California residents. The four-day, 40-hour schedule provides a Monday-through-Thursday workweek, with 10-hour shifts scheduled within the stated program hours. Benefits and other employment terms will be provided in accordance with applicable contract and company policies. Equal Opportunity US Tech Solutions, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. By applying, candidates acknowledge that AI-assisted tools may be used during the hiring process.