Job Title: Data Solutions Engineer

Location: Hybrid (3 Days Onsite) – Rochester, NY / Pennsylvania / Dallas, TX / Ohio
Employment Type: Long-Term Contract

Job Summary

We are seeking a highly skilled Data Solutions Engineer to join our engineering team and design, build, and support modern cloud-based data solutions. The ideal candidate will possess a strong engineering mindset, thrive in a collaborative environment, and have deep expertise in at least one of the following domains: Data Platform & Databricks Administration, Azure Cloud & DevOps Engineering, or Advanced Python Application Development.

This role requires an individual who is passionate about building scalable, secure, and production-ready solutions while collaborating across engineering, security, and platform teams.

Key Responsibilities

• Design, develop, and maintain scalable cloud-based data solutions and platforms.
• Collaborate with engineering, security, and infrastructure teams to deliver secure and compliant solutions.
• Build, optimize, and support production data pipelines and enterprise applications.
• Participate in platform monitoring, incident response, troubleshooting, and operational support.
• Automate infrastructure, deployments, and operational processes using modern DevOps practices.
• Ensure platform reliability, scalability, security, and performance.
• Continuously evaluate and implement new technologies and engineering best practices.
• Contribute to architecture discussions and technical design decisions.

Required Qualifications

• Bachelor''s degree in Computer Science, Engineering, Information Technology, or a related field.
• Strong ownership mindset with the ability to work independently in a fast-paced engineering environment.
• Excellent communication and cross-functional collaboration skills.
• Experience supporting production environments and enterprise applications.
• Ability to quickly learn new technologies and adapt to evolving business needs.

Technical Expertise

Candidates should have strong experience in at least one of the following areas:

Option 1: Data Platform & Databricks Administration

• Strong background in Data Engineering and cloud data platforms.
• Experience designing, developing, and supporting scalable data pipelines.
• Hands-on administration of Databricks, including:
  • Workspace configuration
  • Cluster management
  • Access control and security
  • Data governance
  • Performance tuning and optimization

Option 2: Azure Cloud & DevOps Engineering

• Experience designing, deploying, and managing cloud-native solutions on Microsoft Azure.
• Hands-on expertise with:
  • Azure App Services
  • Azure Container Apps
  • CI/CD pipeline implementation
  • Terraform (Infrastructure as Code)
  • Docker and container deployment
  • Linux administration
  • Azure platform engineering and cloud operations

Option 3: Advanced Python Application Development

• Strong experience building enterprise-grade applications using Python.
• Experience developing REST APIs and automation frameworks.
• Hands-on expertise with:
  • Docker and containerized applications
  • Modern deployment practices
  • API development
  • Application automation
  • AI/ML exposure or integration with AI technologies is highly desirable

Preferred Skills

• Experience working with Azure cloud services and modern DevOps methodologies.
• Knowledge of container orchestration and cloud-native architectures.
• Familiarity with Infrastructure as Code (Terraform) and CI/CD automation.
• Experience supporting production environments and platform operations.
• Understanding of security best practices, governance, and compliance.

Key Competencies

• Data Engineering & Cloud Solutions
• Azure Cloud & Platform Engineering
• Databricks Administration
• Python Application Development
• DevOps & Infrastructure Automation
• Cross-Functional Collaboration
• Production Support & Incident Response
• Problem Solving & Technical Leadership
• Ownership Mindset & Continuous Learning