Manager, Data Engineering

United StatesRemotemid

EngineeringData Engineering

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Quick Summary

Key Responsibilities

- Lead and mentor a team of data engineers, fostering a culture of innovation and continuous improvement. - Design, implement, and optimize data pipelines and ETL processes to support business needs.

Requirements Summary

- Proven experience in data engineering, with a strong understanding of data architecture and ETL processes. - Proficiency in programming languages such as Python, Java, or Scala.

Technical Tools

EngineeringData Engineering

ConnectWise is an industry and Global leading software company with over 3,000 colleagues in North America, EMEA and APAC. As a community-driven software company dedicated to the success of technology solution providers, our suite helps over 45,000 of our partners manage their businesses better, sell more efficiently, automate service delivery, and remotely control technology so they can consistently deliver amazing customer experiences.

Our company is powered by our connections, our colleagues, and our community. And, we accept all kinds.

Game-changers, innovators, culture-lovers—and humankind.

We invite discovery and debate. We recognize key moments as milestones.

We see you and value you for your unique contributions. Our inclusive, positive culture lays the foundation to ensure every colleague is valued for their perspectives and skills, giving you the choice of how YOU make a difference.

The Manager of Data Engineering will lead a team responsible for designing, building, and maintaining scalable data infrastructure and pipelines. This role involves collaborating with cross-functional teams to ensure data availability, integrity, and security, enabling data-driven decision-making across the organization.

With your consent, reference checks will be conducted prior to receiving an offer.

Essential Duties and Responsibilities:

- Lead and mentor a team of data engineers, fostering a culture of innovation and continuous improvement.
- Design, implement, and optimize data pipelines and ETL processes to support business needs.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
- Ensure data quality, governance, and compliance with industry standards and best practices.
- Evaluate and integrate new technologies and tools to enhance data processing capabilities.

Qualifications:

- Proven experience in data engineering, with a strong understanding of data architecture and ETL processes.
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark).
- Strong leadership and communication skills, with the ability to manage and motivate a team.