Data Engineer

Job not on LinkedIn

🕒 July 11

🌵 Arizona, Florida, +11 more states – Remote

🌵 Arizona – Remote 🐊 Florida – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🦀 Maryland – Remote 🔔 Pennsylvania – Remote 🗿 South Dakota – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote ☕ Washington – Remote ⛰️ West Virginia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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MVB

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1947

📱 Media

☁️ SaaS

🤝 B2B

Media • SaaS • B2B

MVB is a company that builds and operates the digital infrastructure for the international book industry. It develops metadata services, digital platforms and media formats to connect publishers, bookstores and service providers — making books discoverable and managing data flows across markets. MVB offers solutions and products such as VLB, VLB-TIX, ISBN/ISNI services, voucher systems, and industry events and research, operating from multiple offices worldwide to support publishers, booksellers and self-publishers.

📋 Description

• Design, build, and maintain saleable data pipelines within Snowflake from multiple sources • Build and maintain medallion architecture (bronze/silver/gold layers) for data lake solutions • Design data models that support both businesses intelligence and AI requirements • Lead cloud-native data platform evolution, integrating Snowflake with AWS. • Collaborate with business analysts, data scientists, and stakeholders to understand data requirements and translate them into technical specifications. • Implement data quality frameworks and monitoring systems to ensure accuracy, completeness, and consistency of data assets. • Develop and maintain comprehensive documentation for data pipelines, models, and processes. • Optimize query performance and resource utilization to reduce costs and improve processing times. • Participate in on-call rotation to support production data systems and resolve incidents.

🎯 Requirements

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics, Statistics, or related technical field or equivalent relevant experience required. • 5+ years of hands-on data engineering experience building production-scale data systems • Snowflake proficiency: warehouses, databases, roles, RBAC, Snowpipe, streams, tasks, and performance optimization • Strong SQL mastery: complex queries, window functions, CTEs, query optimization, and database design • Programming proficiency: Python for data transformation, automation, and pipeline development • Cloud platform experience: Deep knowledge of AWS data services and architecture patterns • Version control and CI/CD: Git, GitHub/GitLab, automated testing, and deployment pipelines • Orchestration expertise: Apache Airflow or similar workflow management tools • Excellent communication skills with ability to explain technical concepts to non-technical stakeholders • Experience in financial services or highly regulated industries preferred • Familiarity with data governance tools and frameworks preferred • Experience with Snowflake engineering processes preferred • Certifications: Snowflake SnowPro Core and AWS Cloud practitioner preferred • Understanding of business intelligence, machine learning workflows, and AI practices preferred

🏖️ Benefits

• Medical, Dental and Vision Insurance • Health Savings Account (HSA), Health Reimbursement Account (HRA) & Flexible Spending Accounts (FSA) • Short- and Long-Term Disability Plan • Group Life Insurance • 401K Salary Deferral Plan • Wellness Program • Education & Tuition Expense Reimbursement • PTO and Unique Vacation Purchase Program • Nationwide Pet Insurance Coverage