Azure Database Engineer (Contractor) - MNSITE-3832

Saint Paul, MN, US • Posted 13 hours ago • Updated 2 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Value Engineering
  • Sustainability
  • Energy
  • Enterprise Software
  • Systems Analysis/design
  • Collaboration
  • Data Lake
  • Workflow
  • Usability
  • Decision-making
  • SQL Azure
  • Microsoft Azure
  • Data Storage
  • Database Analysis
  • Data Integration
  • Workflow Optimization
  • Data Integrity
  • Data Security
  • Mentorship
  • Database
  • Public Sector
  • Cloud Computing
  • Migration

Summary

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
  • Design, develop, implement, administer, and maintain Azure database and data lake solutions supporting the CCWIS modernization program.
  • Support the development and ongoing evolution of a centralized Data Lakehouse and integrated data reserves.
  • Help consolidate and prepare data originating from 87 county database environments for use within a centralized platform.
  • Implement and maintain data security, integrity, governance, availability, and reliability practices within Azure environments.
  • Analyze and optimize data workflows to improve performance, usability, and data-driven decision-making.
  • Partner with cross-functional teams, including technical, program, and business stakeholders, to deliver scalable data solutions.
  • Provide technical guidance and mentorship to other Database Engineers.
  • Potentially provide ongoing operational support following implementation.

Qualifications

Required Technical Experience

Candidates should demonstrate strong, relevant experience in the following areas:
  • Azure database engineering, administration, maintenance, and security.
  • Azure Data Lakes, Data Lakehouse platforms, and centralized data-storage solutions.
  • Database analysis, design, development, and implementation.
  • Data integration, workflow optimization, data integrity, and data-security practices.
  • Working collaboratively across cross-functional technical and business teams.
  • 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTL69619
  • Position Id: 14efaee927e3dd1798b455c0760027ad
  • Posted 13 hours ago
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