Database Engineer

Atlas-Van-Lines

Evansville (IN)

On-site

USD 54,000 - 90,000

Full time

12 days ago
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Benefits offered by this job

Medical/Dental/Vision coverage
Mental health support programs
Onsite Fitness Center
401(k) matching
Tuition reimbursement

Job summary

Atlas Van Lines, a family of logistics solutions, seeks a Database & Data Platform Engineer to optimize SQL Server environments and advance our cloud data platform strategy. You will work with SQL Server, Azure, Fabric, and data integration tools to build reliable, scalable data environments.

Ideal candidates are analytical, solutions-oriented, and comfortable combining traditional DBA tasks with modern data engineering initiatives in a collaborative setting.

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, or a related field.
  • 2–4 years’ experience in SQL Server database administration or support.
  • Strong production SQL Server experience: monitoring, tuning, security, backup/recovery, HA.
  • Advanced T-SQL skills with strong analytical and problem-solving abilities.
  • Experience with Azure SQL and Azure data services preferred.
  • Familiarity with CI/CD, PowerShell, and data platforms preferred.

Responsibilities

  • Support and maintain SQL Server production, QA, and development environments.
  • Monitor database health, capacity, and performance; proactively resolve issues.
  • Troubleshoot incidents and participate in on-call support as needed.
  • Perform query tuning, indexing reviews, and execution plan analysis.
  • Manage backup, recovery, DR, and high-availability solutions.
  • Administer database security, permissions, and access controls.
  • Support upgrades, patching, migrations, and environment refresh.
  • Collaborate with developers and data engineers on design and requirements.
  • Develop and maintain technical documentation and standards.
  • Support Azure SQL, Azure data services, and cloud-based initiatives.
  • Assist with Fabric implementation, administration, and optimization.
  • Support Data Factory pipelines and data integration processes.
  • Contribute to ETL/ELT and data modernization initiatives.
  • Develop automation with PowerShell and other scripting tools.
  • Participate in CI/CD, source control, monitoring, and deployment activities.
  • Drive continuous improvement for reliability and performance.

Skills

Advanced T-SQL
Analytical skills
Communication skills
Azure Data Services experience
CI/CD experience

Education

Bachelor's degree in Computer Science, Information Systems, or a related field

Tools

SQL Server
Azure SQL
Azure Data Factory
Microsoft Fabric
PowerShell

Job description

Overview

IT Data ManagementTeam | Atlas


At Atlas, we’re more than a moving company. We’re a family of companies delivering transportation and logistics solutions across the globe. Through a trusted network of quality agents and service partners, we help people and businesses go new places® - more easily, more securely, and with confidence.


What sets Atlas apart is our agent‑owned model and shared commitment to service excellence. That focus has fueled extraordinary growth and we’re just getting started.


About the Role


We're looking for a skilled Database & Data Platform Engineer to join our Data Management team. In this role, you'll be responsible for supporting and optimizing SQL Server environments while helping advance our modern data platform strategy through cloud technologies, automation, and data engineering initiatives.


This position combines traditional database administration with emerging cloud and data platform responsibilities, providing opportunities to work with SQL Server, Microsoft Azure, Microsoft Fabric, data integration solutions, and modern data architecture. The ideal candidate is analytical, solutions‑oriented, and passionate about building reliable, scalable, and high‑performing data environments.


What You’ll Do



  • Support and maintain SQL Server production, QA, and development environments to ensure availability, performance, and reliability.

  • Monitor database health, capacity, and performance, proactively identifying and resolving issues.

  • Troubleshoot database and application‑related incidents and participate in on‑call support as needed.

  • Perform query tuning, performance optimization, indexing reviews, and execution plan analysis.

  • Manage backup, recovery, disaster recovery, and high‑availability solutions.

  • Administer database security, permissions, and access controls.

  • Support database upgrades, patching, migrations, and environment refresh activities.

  • Collaborate with developers, data engineers, and business stakeholders on database design and data requirements.

  • Develop and maintain technical documentation, procedures, and operational standards.

  • Support Microsoft Azure SQL, Azure data services, and cloud‑based database initiatives.

  • Assist with Microsoft Fabric implementation, administration, and platform optimization.

  • Support Azure Data Factory pipelines and data integration processes.

  • Contribute to data engineering, ETL/ELT, and data modernization initiatives.

  • Develop automation solutions using PowerShell and other scripting tools to improve operational efficiency.

  • Participate in CI/CD, source control, monitoring, and deployment activities for database and data platform solutions.

  • Drive continuous improvement efforts that enhance reliability, scalability, and overall platform performance.


Your Wellness Is Our Focus



  • Medical, dental, and vision coverage for employees and dependents

  • Employee Assistance Programs with a strong focus on mental health

  • 24/7 access to a licensed therapist

  • Wellness programs with employee perks

  • Onsite Fitness Center and Medical Clinic


Financial Wellbeing



  • Generous 401(k) matching retirement plan

  • Pre‑tax savings options including HSA and FSA

  • Tuition assistance

  • Financial wellness resources through our Employee Assistance Program

  • Earning potential up to $90k


Flexibility & Time Off



  • Paid time off including vacation, sick leave, parental leave, holidays, and disability leave


Qualifications

What You’ll Need



  • Bachelor's degree in Computer Science, Information Systems, or a related field.

  • 2-4 years of experience in SQL Server database administration, database support, or a related role.

  • Strong experience supporting production SQL Server environments, including monitoring, performance tuning, troubleshooting, security, backup/recovery, and high availability.

  • Advanced T‑SQL skills with strong analytical and problem‑solving abilities.

  • Experience supporting production incidents and participating in an on‑call support environment.

  • Ability to work independently and manage multiple priorities in a fast‑paced environment.

  • Strong communication skills with the ability to collaborate effectively across technical and business teams.

  • Experience with Microsoft Azure SQL and other Azure data services preferred.

  • Familiarity with Microsoft Fabric, Azure Data Factory, Azure Data Lake, and cloud data platforms preferred.

  • Knowledge of data engineering, data warehousing, and ETL/ELT processes preferred.

  • Experience with PowerShell or other automation and scripting tools preferred.

  • Familiarity with CI/CD processes, source control, monitoring tools, and Power BI is a plus.

  • A continuous improvement mindset and passion for modern data technologies.


Our Promise to You


At Atlas, we want you to grow your career - not just fill a role. We invest in our people through:



  • Free online training via a modern learning and development platform

  • A company‑wide mentorship program

  • Internal employee organizations

  • Tuition reimbursement and continuous learning opportunities


Atlas Van Lines is an Equal Opportunity Employer, including Veterans and individuals with disabilities.


Benefits may vary by position and/or office location.


*The salary range shown is a good‑faith estimate of what we expect to offer for this role, with actual compensation determined by skills, experience, and job‑related factors.

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