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Database Engineer
Database EngineerUniversal Technical Institute • Phoenix, AZ, United States
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Database Engineer

Database Engineer

Universal Technical Institute • Phoenix, AZ, United States
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]
Data Solutions Specialist

Performs and supports the design, development, and maintenance of data solutions across SQL Server and Microsoft Azure. Follows standards-based practices and procedures in analyzing situations and complex problems. Investigates, troubleshoots, analyzes, and resolves problems related to the enterprise databases as well as related application and system problems that have been escalated for senior level support.

Pay Range: $84,000 - $111,000

What We Offer:

  • Tuition Waiver: Enjoy a tuition waiver after 6 months of employment for you AND your immediate family offered at UTI and Concorde campuses
  • Paid Time Off: Competitive paid time off programs for employees (Vacation, Sick, Flexible)
  • Retirement Matching: 50% match on the first 6% of your contributions after 90 days
  • Paid Parental Leave: 4 weeks of paid leave for both birthing and non-birthing parents to bond with a new baby
  • Competitive Insurance: Health, vision, and dental coverage for you and your dependents
  • Pet Insurance: Competitive coverage for your furry family members through ASPCA
  • Health Plan Enrollment: Eligibility starts first of the month following completing one full month of employment
Responsibilities
  • Build, maintain, and optimize SQL Server databases, tables, views, stored procedures, and ETL processes
  • Provide On-call support for production jobs
  • Assist in developing data pipelines using Azure services such as Azure Data Factory, Azure Functions, and Azure Storage
  • Support data ingestion from various sources into cloud and on-prem environments
  • Help implement data quality checks, validation rules, and monitoring processes
  • Work with Azure resources including Azure SQL Database, Azure Synapse (optional), Azure Data Lake, and Azure DevOps
  • Participate in deployments, version control, and CI/CD workflows
  • Assist in configuring and monitoring cloud environments for performance, cost, and reliability
  • Work closely with senior data engineers to learn best practices and contribute to project deliverables
  • Support analysts and business users by troubleshooting data issues and providing documentation
  • Participate in Agile ceremonies and contribute to sprint planning and retrospectives
  • Provides trend analysis to the management team to assist in resource management
  • Works on various projects related to evaluating, testing, and deployment of new database systems/technology
  • Interfaces with and supports different areas of IT (Software Development, IT Support, Network Operations) during project requirements gathering, design, implementation and documentation
  • Other duties as assigned
Qualifications

Education / Experience

  • High School Diploma or GED required. Bachelor's degree in information technology or relevant field preferred
  • 4+ years working with Azure, ETL, Data Engineering and relational databases
  • 4-5 years of experience in the Information Technology field
  • Experience administering multi-server, multi-database installations

Skills

  • SQL skills, including writing queries, joins, and basic performance tuning
  • SQL Server (SSMS, T?SQL, database objects)
  • Understanding of Azure cloud concepts (Azure Fundamentals certification is a plus)
  • Familiarity with ETL/ELT concepts and data modeling basics
  • Experience with at least one programming or scripting language (SQL, Python, C#, PowerShell, etc.)
  • Strong analytical thinking and willingness to learn new tools and technologies
  • Good communication skills and ability to work in a team environment

Abilities

  • Must be able to lift, carry, push, or pull up to 5 pounds throughout the workday
  • Must be able stoop, kneel, crouch, or crawl 5% or less of the workday
  • Must be able to talk, see, hear, concentrate, think, learn and reason for all of the workday
  • Must be able to sit and walk or otherwise move around for prolonged periods throughout the workday.
  • Must be able to use a keyboard and do manual tasks for prolonged periods throughout the workday.

Work Environment

  • Work is performed indoors in a climate-controlled environment.
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