Verusen

Staff Data Engineer

May 26, 2022

Remote, USA

Verusen is a leading technology company that uses artificial intelligence to provide visibility, digitization and prediction of materials data and inventory for complex supply chains. The company’s AI software harmonizes disparate material data across ERP instances/systems while providing accurate MDM across the enterprise to optimize inventory costs. Intelligent controls enforce inventory procedures to help prevent future inventory spikes, while predictive capabilities optimize allocation and procurement needs. The result is a data foundation you can trust to move quickly to innovate and support related Industry 4.0 initiatives. Verusen is venture-backed by leading investors from San Francisco to Boston, and is a Signature Company at Georgia Tech’s Advanced Technology Development Center (ATDC). Partnerships including SAP and Accenture. Verusen is a portfolio company of SAP.iO.Join Verusen as a Staff Data Engineer and experience the impact you will contribute to our thriving, growing business transforming modern supply chain management through our innovative approach to materials management.  We are looking to grow our team of seasoned engineers to increase our capacity to provide leading services for our expanding customer base. As a Staff Data Engineer in our supportive team culture, you will be responsible for crafting and advancing effective and efficient solutions to achieve a variety of data transformation and processing goals including data lakes, pipelines, ingestion APIs, data modeling/transfer, microservices and service-oriented architecture.  Your creativity and initiative to autonomously deliver solutions from idea to implementation will propel our exciting organization into the future. Our Core Values Good Humans - Our impact should enable the well-being and aspirations of our employees, our customers, our shareholders, and our community Innovation - We strive to be on the cutting edge and embrace change as opportunities to venture for greatness Accountability - We are accountable to each other built on a foundation of trust Empathy - We practice and strive for greater empathy believing in a collaborative approach to solving problems and amplifying value Bias Toward Action - We are biased towards action taking imperative to build, implement, adapt, and resolve What You’ll Do Build and monitor automation for data in motion and data at rest, transforming a variety of raw customer data into consistent, organized data stores utilizing leading edge methods and technologies. Challenge yourself to develop and advance algorithms to maximize efficiency and automation to provide scalability for our rapidly expanding enterprise. Design, develop and implement effective and scalable data ingestion APIs, providing flexibility for a variety of customer environments. Collaborate with other engineers on research, initiatives and projects, clearly communicating progress, blockers and FUD (fear, uncertainty and doubt). Actively contribute your talents and creativity in our self-directed, cross-domain Agile pods. As a Staff level Data Engineer, we will look to you to: Drive innovation and new concepts to promote state of the art data engineering. Partner with team members to plan and implement large solutions. Mentor team members, identify appropriate leaders and help lead complex mentorship challenges. Drive best practices and represent team needs in standards discussions. Who You Are You are a good human, eagerly embracing and implementing Verusen’s core values. You live your life through curiosity instead of validation by being right. You understand how to build secure and scalable architectures capable of ingesting and operating on millions of rows of data. Python development proficiency to accurately transform and ingest large data structures. SQL expertise to provide strong technical data analysis to help support and troubleshoot data transformations and ingestion. Airflow and Linux shell scripting experience to organize and control data processing pipelines. Significant experience implementing and building solutions with complex data structures, data algorithms and data lakes. Thorough understanding of Git version control. GitLab pipeline experience is advantageous. Excellent verbal and written communication skills.  Must be able to clearly articulate concepts and details involved in processing critical customer data. Ability to adapt in a fast-moving and changing environment as our team and our product grows. Experience working in an Agile environment utilizing tools such as Jira and Confluence. Partnering with Data Science to collaborate on solutions for AI and ML. Working knowledge of technologies such as Docker, AWS and S3 is very desirable. Familiarity with dbt, Hadoop, Snowflake, Kubernetes, Kafka, Java and Redshift is a bonus. Staff level candidates demonstrate: Mastery in your area of focus and significant experience in parallel areas. Leadership in the planning, development, coordination and direction of large and important projects, with many complex features. Effective mentorship and the understanding of its powerful impact and leverage. Independent judgment in selecting methods, techniques and evaluation criteria for obtaining results. What We offer Unique opportunity to join a fast-growing, ambitious start-up reshaping the way global supply chains work. Awesome team culture of proven winners with a high sense of urgency and getting stuff done. Equity sharing – YOU are an owner as a key contributor.  Learning from the best - passionate co-workers and a hands-on and engaged leadership team. Work that matters. Flexible PTO policy and supportive leave benefits. Competitive benefits coverage including 401k. Commitment to Diversity and Inclusion At Verusen, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, national origin, age, physical and mental disability, sexual orientation, gender identity and/or expression, status as a veteran and any other characteristic protected by applicable law. We respect and seek to empower each individual and support a diverse culture, perspectives, skills, and experiences within our workforce.  We believe that diversity and inclusion among our teammates are critical to our success, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.

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