Lead Data Engineer

🕒 September 22

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

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Nexcess

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2000

🤝 B2B

🛍️ eCommerce

B2B • eCommerce

Nexcess is a managed web hosting provider focused on performance, security, and reliability for business websites and online stores. The company offers managed hosting and related services optimized for e-commerce platforms and content management systems, with features like CDN and security integrations to support business and agency customers running WordPress, WooCommerce, Magento, and other web applications.

📋 Description

• Lead, mentor, and develop the Data Engineering team • Establish expectations for performance, quality, and ownership • Manage team priorities, workload, and delivery in alignment with business objectives • Provide technical guidance and oversight for architecture, design, and production readiness • Serve as an escalation point for complex technical, data quality, and delivery challenges • Design, build, and maintain scalable data pipelines, integrations, warehouses, and supporting infrastructure • Establish engineering standards for data architecture, modeling, reliability, performance, and maintainability • Remain hands-on in development and resolution of complex or business-critical technical issues • Improve automation, tooling, monitoring, and engineering practices • Establish technical direction and priorities for Data Engineering • Partner with Finance and other stakeholders to translate data needs into effective solutions • Evaluate technologies, processes, and architectural approaches • Communicate technical strategy, risks, recommendations, and infrastructure needs to leadership • Support team and organizational objectives and perform assigned duties and special projects

🎯 Requirements

• 7+ years of related data engineering experience • 2+ years leading, supervising, or providing technical direction to others • Bachelor's degree in Computer Science, Data Engineering, a related discipline, equivalent technical training, or equivalent professional experience • Strong experience designing, building, and maintaining data pipelines, ETL/ELT processes, data warehouses, and related infrastructure • Advanced SQL skills • Strong programming experience with Python, Java, Scala, or a comparable language • Strong understanding of data architecture, modeling, scalability, performance, reliability, and data quality practices • Experience with modern cloud data platforms, orchestration frameworks, and data processing technologies • Ability to remain hands-on technically while leading and developing a team • Strong business acumen and ability to translate business requirements into practical technical solutions • Strong communication and stakeholder management skills across technical and non-technical audiences • Preferred: Experience with AWS, Azure, or Google Cloud Platform • Preferred: Experience with Airflow, dbt, or similar orchestration and transformation technologies • Preferred: Experience with Kafka or Spark • Preferred: Experience with infrastructure-as-code and CI/CD practices for data environments • Preferred: Experience building, scaling, or maturing a Data Engineering function

🏖️ Benefits

• Works from home option • Traditional climate-controlled office environment • Reasonable accommodations for individuals with disabilities • At-will employment

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