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Permanent / Some College Remote Data Engineer Python Jobs

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  • Data Pipeline Engineer

    A company is looking for a Data Pipeline Engineer (Mid-Level) to support an Internal Revenue Service (IRS) client.

    Databricks Informatica SQL ETL
  • Senior Medical Analyst

    Key Responsibilities Analyze healthcare datasets to identify trends and patient cohorts for Life Sciences clients Collaborate with data science and engineering teams to develop database queries and processing workflows Monitor data quality issues

    Real-world Data Claims Analysis Laboratory Results Billing Codes
  • Senior Elastic Search Engineer

    Key Responsibilities: Administer and manage Elasticsearch clusters, ensuring optimal performance and security Develop and engineer data stores, including database design, ETL process management, and performance tuning Provide 24/7 monitoring and troubleshooting

    Elasticsearch MongoDB AWS ETL
  • COACHING
    Free Coaching - Learn From the Pros

    Get access to expert-led coaching session recordings on AI, resumes, LinkedIn, interviewing, and more when you register.

  • Network Administrator

    Key Responsibilities Provide day-to-day support and troubleshooting for client networks Triage and escalate network-related incidents to Network Engineering Analyze network data and client reports to proactively identify and address issues Required

    Network Administration WAN LAN WLAN
  • Software Engineer - Data Management

    A company is looking for a Software Engineer - Data Management (Remote).

    C# NET Web Development Database Development
  • Senior Technology Product Owner

    knowledge of technical landscapes and market contexts Significant experience with Agile methodologies and Lean practices Proven ability to build relationships and influence stakeholders across global teams Broad technical knowledge with a focus on data...engineering and innovative technology

    Agile Methodology Scrum Kanban Lean Methodologies
  • Senior High Performance Computing Engineer

    Key Responsibilities: Design, implement, and manage compute and storage infrastructure for scientific workloads Collaborate with data scientists and ML engineers to deploy scalable machine learning models Ensure the security, scalability, and reliability

    High-performance Computing HPC Administration Cloud Computing AWS