Data Engineer
About The Company Pride Global connects skilled professionals with opportunities across a range of industries and organizations. For this position, Pride Global is supporting a state organization seeking an experienced data engineering leader to advance its data platform and analytics capabilities. The role offers the opportunity to contribute to enterprise-scale data initiatives in a public-sector environment, helping strengthen how data is integrated, managed, governed, and made available for analysis. About The Role The Principal Data Engineer will design, build, and maintain scalable data solutions using Python, Databricks, and Microsoft Azure. A central focus of the position is developing and optimizing a Databricks Medallion Lakehouse architecture that supports enterprise data integration and analytics. The successful candidate will bring strong technical expertise and a thoughtful approach to data quality, governance, and operational reliability. This role combines hands-on engineering with technical leadership. The Principal Data Engineer will help establish effective engineering practices, automate Azure data resources using DataOps approaches, and mentor junior data engineers and database administrators. The position is remote and is structured as a contract lasting 12 months or longer.
Qualifications
At least five years of professional experience in data engineering, data integration, data warehousing, and cloud computing. At least five years of experience developing and maintaining data pipelines with Python. Three or more years of experience designing and developing Databricks Medallion Lakehouse architecture. Expertise in data governance, data quality practices, and effective data management. Experience developing data models and managing Azure resources in support of dependable data operations. Experience automating Azure data resources and workflows using DataOps practices. A bachelor’s degree in Computer Science, Data Engineering, or a related field, or equivalent qualifying experience. Ability to communicate technical concepts clearly and provide guidance to junior data engineers and database administrators.
Responsibilities
Design, develop, test, and maintain scalable data pipelines using Python and Databricks. Build, enhance, and optimize the Databricks Medallion Lakehouse architecture for enterprise data integration and analytics needs. Apply data governance, quality, and management practices throughout data engineering workflows. Develop and maintain data models that support reliable, useful, and well-structured data products. Manage Azure resources used to deliver stable and efficient data operations. Automate the provisioning and management of Azure data resources using DataOps principles. Identify opportunities to improve pipeline performance, platform reliability, and engineering processes. Collaborate with relevant technical and business stakeholders to support data platform objectives. Mentor junior data engineers and database administrators, sharing knowledge and encouraging consistent engineering practices.
Benefits
This opportunity offers remote work and a contract term of 12 months or longer. The stated pay range is $100–$104 per hour, depending on experience. The role also provides the opportunity to apply advanced data engineering skills to enterprise initiatives for a state organization. Any additional benefits, eligibility requirements, or contract terms should be confirmed with the recruiter during the application process. Equal Opportunity Pride Global is committed to fair and equitable hiring. Candidates are considered based on their qualifications and the requirements of the position. Employment decisions are made without discrimination on any basis protected by applicable law. Reasonable accommodations are available during the application process for qualified individuals who need them.