Top Tech Jobs & Startups Jobs

The role involves managing SQL Server and database access, optimizing SQL queries, troubleshooting application issues, and performing database maintenance. Responsibilities include monitoring performance, conducting audits, and collaborating with teams to support new product deployments.

The Marketing Strategist at U-Haul will establish and manage self-storage rental rate schedules, analyze competitor rates, coordinate marketing materials, and support field teams with data and operational challenges. The candidate will engage with various internal teams and must effectively manage multiple projects while keeping up with industry trends.

The Senior Federal Tax Accountant is responsible for US federal income tax compliance, including tax return preparation and reporting, audits, and tax structuring for corporate business transactions. This role involves managing compliance processes and providing insights into corporate restructurings while collaborating with the Director of Tax and the Legal Department.

Lead Software Developer will oversee software development projects, collaborate with stakeholders on requirements, and mentor junior developers. Responsibilities include coding, troubleshooting, managing software processes, and ensuring the reliability of mission-critical applications.

The Azure Cloud Administrator will build and maintain Azure cloud infrastructure, configure networks, manage backups, and develop automation strategies. The role involves working with engineers, supporting team members, and generating documentation while staying aligned with emerging trends in cloud technologies.

The Staff Accountant will prepare financial statements, record assets and operating expenses, assist with audits and reconciliations, and ensure accurate reporting in compliance with accounting principles. The role requires communication with both internal and external clients, as well as support for various functional areas of the company.

The Data Engineer will design, develop, and maintain data pipelines and applications, optimize data flow using Kafka and Databricks, collaborate on Business Intelligence datasets, ensure data quality, implement machine learning models, and effectively communicate technical requirements.