671 Data Center Infrastructure Engineer jobs in Houston,TX

New, Posted 16 hours ago

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Service Center Technical Analyst

The Timken Company

Houston, TX

Onsite

High School Diploma or equivalent with a minimum of 7 years of relevant job experience required
Working knowledge of ERP systems, preferably Epicor
Intermediate Office 360 proficiency, keyboarding, and video conferencing
7 years of relevant job experience
Interpersonal and communication skills
Ability to work independently and collaboratively within a team
Occasional travel required
Provide technical support to internal/external customers
Prepare Bill of Materials, routers, assembly instructions, and test instructions for I&R and enclosed drive orders
Prepare I&R, parts or enclosed drive quotations, working directly with the outside sales team
Manage incoming parts/units, create and manage orders in ERP system and communicate status updates to outside sales
Liason between outside sales and operations teams
Visual inspections, root cause/corrective action of incoming failed parts

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Data Engineer

McKesson

Spring, TX

Remote

Degree or equivalent and typically requires 4+ years of relevant experience.
Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, or a related field, or equivalent practical experience.
4+ years of experience in data engineering, database engineering, software engineering, or a related technical discipline.
3+ years of hands-on experience with SQL and relational database technologies.
2+ years of experience with Python development and automation.
2+ years of experience with Databricks, Spark, or modern cloud-based data engineering platforms.
Experience with Power BI and/or Tableau.
Experience working in Agile development environments.
Experience using GitHub and CI/CD processes.
Strong analytical, troubleshooting, and problem-solving capabilities.
Strong hands-on experience with Databricks, including Delta Lake and Apache Spark.
Advanced proficiency in SQL for complex queries, performance tuning, data modeling, and optimization.
Strong programming expertise in Python for automation, data processing, integration, and analytics.
Experience designing and maintaining enterprise-scale data pipelines and data processing frameworks.
Experience with workflow orchestration platforms such as Databricks Workflows, Apache Airflow, or equivalent technologies.
Experience developing dashboards, reports, and visualizations using Power BI
Understanding of modern data warehousing, lakehouse architectures, and analytics best practices.
Strong knowledge of GitHub-based source control including branch protection policies, pull request reviews, release management, and version control best practices
Experience implementing and maintaining CI/CD pipelines using GitHub Actions to automate build, testing, security validation, and deployment processes
Familiarity with automated testing, deployment automation, and infrastructure best practices
Experience working within Agile software development methodologies
Understanding of healthcare data domains, including Clinical Data, Claims Data, Provider Data, Patient Data
Familiarity with HIPAA and healthcare compliance requirements.
Understanding of healthcare data governance, privacy, and security best practices.
Experience leveraging AI development tools such as GitHub Copilot or equivalent solutions.
Ability to utilize AI for code generation, optimization, testing, documentation, and productivity improvements.