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Data Solution Engineer
Tixy Services LLCDallas, TX🇺🇸United StatesPosted 9 Jul 2026
Quick Overview
Work Type
Hybrid
Level
Mid Senior
Job Description
Job Title: Data Solution Engineer
Location: Rochester, New York / Dallas, TX / Ohio / Pennsylvania
Location: Rochester, New York / Dallas, TX / Ohio / Pennsylvania
Employment Type: Full-Time (Hybrid)
Job Summary
We are seeking a highly skilled Data Solution Engineer to design, develop, and support modern enterprise data solutions and cloud-native applications. The ideal candidate will have a strong foundation in data engineering, cloud technologies, and software development, with deep expertise in at least one of the following areas:
- Data Platform & Databricks Administration
- Azure Cloud & DevOps Engineering
- Advanced Python Application Development
This role requires collaboration with cross-functional teams to build scalable, secure, and high-performing data platforms and applications while driving automation, governance, and operational excellence.
Key Responsibilities
- Design, develop, and maintain scalable enterprise data solutions and cloud-based applications.
- Build and optimize data ingestion, transformation, and processing pipelines.
- Collaborate with data engineers, software developers, architects, DevOps engineers, and business stakeholders.
- Implement security, governance, monitoring, and operational best practices across platforms.
- Troubleshoot production issues and optimize system performance and reliability.
- Develop reusable frameworks, automation tools, and deployment pipelines.
- Participate in architecture discussions and recommend modern cloud and data engineering solutions.
- Ensure high availability, scalability, and maintainability of enterprise platforms.
- Create technical documentation, operational runbooks, and implementation guides.
- Stay current with emerging technologies in cloud computing, AI, automation, and data engineering.
Required Skills & Qualifications
- Bachelor''s degree in Computer Science, Information Technology, Engineering, or related field.
- 6+ years of experience in software engineering, data engineering, cloud engineering, or platform engineering.
- Strong programming skills in Python.
- Experience with Git, CI/CD practices, and Agile methodologies.
- Strong understanding of SQL, REST APIs, cloud-native architectures, and container technologies.
- Excellent analytical, troubleshooting, and communication skills.
- Experience working with enterprise-scale applications and distributed systems.
Preferred Skills
- Microsoft Azure certifications.
- Databricks certifications.
- Experience with Apache Spark and Delta Lake.
- Knowledge of Kubernetes.
- Experience with monitoring tools such as Azure Monitor, Grafana, or Prometheus.
- Familiarity with messaging platforms such as Kafka or Azure Service Bus.
- Experience working with AI-enabled applications or intelligent automation.
- Exposure to data governance and security best practices.
Skills
Agile
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