Data Workflow Scheduler: Optimize Jobs & Timelines

VDA

Towson (MD)

On-site

USD 52,000 - 60,000

Full time

4 days ago
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Job summary

VDA is seeking a Scheduling Coordinator to manage and optimize data workflow schedules across the organization, ensuring data availability and timely execution.

In this role you will develop, monitor, and adjust data processing tasks, collaborate with IT and data engineering teams, and quickly troubleshoot scheduling conflicts to minimize impact and support data-driven decision making. You will contribute to documentation and process improvements, and ensure alignment with business priorities.

Qualifications

  • Experience with data workflow scheduling tools or platforms.
  • Strong understanding of data processing and ETL concepts.
  • Excellent organizational and time management skills with attention to detail.
  • Ability to analyze and resolve scheduling issues efficiently.
  • Effective communication skills to coordinate with multiple teams.

Responsibilities

  • Develop, implement, and maintain data workflow schedules using specialized scheduling tools and software.
  • Monitor scheduled jobs and workflows to ensure successful execution and timely completion.
  • Collaborate with IT, data engineering, and business teams to understand scheduling requirements and adjust workflows accordingly.
  • Troubleshoot and resolve scheduling conflicts, failures, or delays promptly to minimize operational impact.
  • Document scheduling processes, changes, and incidents to maintain clear communication and support continuous improvement.

Skills

Data workflow scheduling
ETL concepts
Organizational skills
Issue resolution
Cross-team coordination

Tools

Control-M
Autosys
Apache Airflow

Job description

VDA is seeking a Scheduling Coordinator to manage and optimize data workflow schedules across the organization, ensuring data availability and timely execution.

In this role you will develop, monitor, and adjust data processing tasks, collaborate with IT and data engineering teams, and quickly troubleshoot scheduling conflicts to minimize impact and support data-driven decision making. You will contribute to documentation and process improvements, and ensure alignment with business priorities.

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