RESPEC

Azure Database Engineer (Contractor) - MNSITE-3832

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Database Engineer (Contractor) with a contract length of "unknown," offering a pay rate of "$XX/hour." Work location is "remote." Key skills include Azure database engineering, data lake solutions, and public-sector experience in child welfare systems.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
August 1, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Unknown
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
St Paul, MN
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🧠 - Skills detailed
#Data Integration #Cloud #Security #Data Lake #"ETL (Extract #Transform #Load)" #Migration #Azure #Scala #Storage #Data Integrity #Databases #Data Lakehouse #Data Security
Role description
Company Description Big challenges need bold thinkers. If you’re someone who sees problems as opportunities, you’ll thrive here. RESPEC is 100% employee-owned, which means we take ownership of every challenge. Here, your ideas drive real solutions. Since 1969, we’ve tackled complex challenges in energy transition, infrastructure resilience, digital transformation, and sustainability. At RESPEC, you’ll work alongside clients to take on critical problems. Depending on your expertise, you might design infrastructure in remote locations, develop renewable energy solutions for global projects, or apply data-driven technology to improve mining and water systems. We bring deep technical knowledge, real-world experience, and a commitment to work that matters. If you're looking for a place where your contributions have real impact, you’ll fit right in. We do not accept unsolicited resumes from third-party recruiters. Job Description RESPEC is seeking an experienced Azure Database Engineer to support a Minnesota public-sector client on a high-impact child welfare modernization initiative. As a RESPEC consultant, you will join a mission-driven team working to strengthen data infrastructure that supports services for children, youth, and families across Minnesota. Role Summary This role will help advance the modernization of Minnesota’s child welfare information environment through the implementation of a Comprehensive Child Welfare Information System (CCWIS). A central component of this effort is consolidating data from 87 county databases into a centralized Azure-based data lake environment that will support a future enterprise solution. The Azure Database Engineer will contribute across analysis, design, development, implementation, administration, maintenance, and security of Azure databases and Data Lakehouse capabilities. This individual will also collaborate with technical and business stakeholders, improve data workflows, help protect sensitive information, and mentor other database engineers. Core Responsibilities β€’ Design, develop, implement, administer, and maintain Azure database and data lake solutions supporting the CCWIS modernization program. β€’ Support the development and ongoing evolution of a centralized Data Lakehouse and integrated data reserves. β€’ Help consolidate and prepare data originating from 87 county database environments for use within a centralized platform. β€’ Implement and maintain data security, integrity, governance, availability, and reliability practices within Azure environments. β€’ Analyze and optimize data workflows to improve performance, usability, and data-driven decision-making. β€’ Partner with cross-functional teams, including technical, program, and business stakeholders, to deliver scalable data solutions. β€’ Provide technical guidance and mentorship to other Database Engineers. β€’ Potentially provide ongoing operational support following implementation. Qualifications Required Technical Experience Candidates should demonstrate strong, relevant experience in the following areas: β€’ Azure database engineering, administration, maintenance, and security. β€’ Azure Data Lakes, Data Lakehouse platforms, and centralized data-storage solutions. β€’ Database analysis, design, development, and implementation. β€’ Data integration, workflow optimization, data integrity, and data-security practices. β€’ Working collaboratively across cross-functional technical and business teams. β€’ Providing technical mentorship to other database engineering professionals. Preferred Qualifications Experience supporting large-scale public-sector data modernization programs, child welfare systems, multi-source data consolidation, or enterprise cloud migrations would be highly relevant to this engagement. Additional Information All your information will be kept confidential according to EEO guidelines. All your information will be kept confidential according to EEO guidelines.