Manager, Data Engineering (Remote)

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Written by AI from the job title and company, not by Stryker, so some details may not match this job. The employer's own page has the real description.

Job Overview

As the Manager of Data Engineering at Stryker, you will play a pivotal role in leading a team of skilled data engineers to design, build, and maintain robust data pipelines and architectures to support data analytics and business intelligence initiatives. This remote position requires a strategic thinker with excellent leadership abilities to drive data engineering practices and leverage advanced technology solutions in a fast-paced healthcare environment. You will be responsible for ensuring data integrity, optimizing processes, and collaborating with cross-functional teams to align dataengineering efforts with organizational goals.

Job Responsibilities

• Lead and mentor a team of data engineers, fostering a culture of innovation and collaboration.
• Design, implement, and maintain scalable data architectures to support enterprise data needs.
• Oversee the development and optimization of data pipelines to ensure timely delivery of high-quality data.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and translate them into engineering specifications.
• Ensure compliance with data governance policies and security protocols while maintaining a focus on data privacy.
• Develop best practices and standards for data engineering processes and documentation.
• Monitor and troubleshoot system performance issues, optimizing data flow efficiency.
• Stay abreast of emerging technologies and industry trends to enhance Stryker's data capabilities.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
• A minimum of 5 years of experience in data engineering or related roles.
• Proven experience in managing and leading technical teams.
• Strong proficiency in data modeling, ETL processes, and data warehousing solutions.
• Expert knowledge of programming languages such as Python, Java, or Scala.
• Hands-on experience with big data technologies like Hadoop, Spark, or Kafka.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Excellent problem-solving skills and ability to work independently in a fast-paced environment.

Technologies & Tools

The Manager, Data Engineering position at Stryker will utilize a variety of technologies and tools to optimally perform data engineering tasks. Key technologies include cloud platforms such as Amazon Web Services (AWS), data processing frameworks like Apache Spark, ETL tools such as Talend or Informatica, and programming languages including Python and SQL. Additionally, tools for data visualization, data governance, and project management, such as Tableau, Power BI, and Jira, will be integral to the role.

Ideal Candidates

Ideal candidates for the Manager, Data Engineering role at Stryker will possess strong leadership qualities with a proactive, results-oriented mindset. They will demonstrate exceptional communication and interpersonal skills, enabling effective collaboration across various teams and stakeholders. Successful candidates will be adaptable, innovative thinkers who thrive in challenging environments and are passionate about leveraging data to drive business outcomes. A strong commitment to ethical data practices and a keen interest in the latest technology trends in the data engineering field will set them apart.