Senior Data Engineer

Overview

Senior Data Engineer  is making an impact by enabling cleaner, safer, and more equitable communities through secure and simple data and identity protection solutions. We are trusted by the U.S. Department of Defense and Fortune 100 companies and leverage Web3, quantum-resistant, passwordless technologies to protect data against theft, manipulation, and misuse. An impressive mission requires an equally impressive Senior Data Engineer.

As a Senior Data Engineer at VIA, you will play a pivotal role in the growth of our solutions. You will build the foundation that empowers our customers to harness AI for human-centric, data-driven decision-making, and you will work cross-functionally with a high-performing team of data professionals, developers, Dev Ops, and Client Delivery specialists who are pushing the boundaries of what’s possible with AI.

Individuals who excel in this role are motivated by solving complex data accessibility challenges, maintaining a high bar for data quality and availability, and improving performance. Are you ready to join us?

• Architect secure solutions:
  Design and implement robust, cloud-based data storage solutions, optimizing schemas for multi-tenant environments while ensuring data accessibility and security and a high standard of trust and transparency
• Engineer data pipelines:
  Develop, deploy, and maintain resilient ETL/ELT pipelines for both real-time streaming and batch processing, ensuring seamless data flow from raw ingestion to production-ready applications
• Facilitate data accessibility:
  Build and manage data access layers, including REST APIs and streaming services, to empower downstream users
• Drive data governance and best practices:
  Contribute across teams to recommend tools, processes, and best practices for maintaining data health, integrity, and security
• Operationalize AI models:
  Support AI operations (MLOps) by managing versioning, containerization, and deployment of AI models
• Monitor and optimize infrastructure:
  Build monitoring and alerting systems to track data health and system performance, proactively identifying and remediating bottlenecks

• Education:
  
  Bachelor’s degree or higher in Computer Science, Engineering, or Data Science
• Experience:
  
  5+ years of professional experience in data engineering or a related role
• Core engineering:
  Strong Python skills (including testing frameworks such as pytest) and ORMs (e.g., SQL Alchemy); understanding modularity and how to define clear scopes within a large codebase
• Data architecture:
  Experience architecting scalable relational and non-relational (SQL/noSQL) schemas; end-to-end database lifecycle management from design to production maintenance
• Performance engineering:
  Expertise in optimizing system performance through query tuning, indexing, and execution plan analysis
• Cloud infrastructure:
  Experience with cloud-based databases (e.g., AWS RDS, Azure Database); configuring compute resources and backups
• Data orchestration:
  Experience building resilient pipelines using frameworks such as Dagster or Apache Airflow; maintaining data health for real-time streaming and batch processing
• Systems thinking:
  Understanding of how data infrastructure integrates into broader application architecture
• Professional standards:
  Experience with modern software development practices, including version control (Git), CI/CD, and high-quality, maintainable code

• Streaming and edge tech:
  Experience with streaming data (e.g., Kafka) or edge computing (e.g., IoT devices)
• Dev Ops tools:
  Familiarity with Docker and Kubernetes
• API design:
  Experience architecting and consuming scalable RESTful APIs with robust authentication
• Web3 and privacy:
  Familiarity with blockchain data indexing or privacy-preserving data processing techniques
• Leadership:
  Experience mentoring junior engineers or leading technical projects

• Self-motivated and passionate about making improvements in everything they touch
• Belief that people should love what they do and a commitment to a culture that enables best work
• Creative problem solvers who respectfully challenge the status quo
• People who lead…