V

VIA

Secure AI-driven data visualization for energy

Senior Data Platform Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeSomerville, MA, USA$145k - $190k /yrHybrid

About the Job

Requirements

  • At least 5 years of experience in a data-driven role.
  • A bachelor's or master's degree in science, mathematics, engineering, or a data-driven field.
  • A strong foundation in Python or an equivalent language for scripting, automation, and tooling across the data platform.
  • Proven experience architecting scalable relational and non-relational (SQL/NoSQL) schemas.
  • Expertise in system performance optimization through advanced query tuning, strategic indexing, and execution plan analysis.
  • Hands-on experience with AWS data services such as RDS, Aurora, and Lambda, or Azure equivalents, plus Terraform and/or Helm for provisioning and deploying data infrastructure.
  • Working knowledge of container build and orchestration tools such as Kubernetes and Docker, and container-level observability, including resource allocation, cluster health, and container insights.
  • Experience building resilient pipelines using frameworks such as Dagster or Apache Airflow.
  • A strong understanding of how data infrastructure integrates into broader application architecture.
  • Experience with modern software development practices, including Git, CI/CD pipelines, and infrastructure-as-code, with a demonstrated track record of deploying production systems.

Responsibilities

  • Design, provision, and maintain cloud-based data storage and platform infrastructure using infrastructure-as-code such as Terraform and Helm; optimize schemas for multi-tenant environments while ensuring security, trust, and transparency.
  • Develop, deploy, and maintain resilient real-time streaming and batch data pipelines, prioritizing CI/CD and infrastructure-as-code deployment to ensure data flows from raw ingestion to production-ready applications.
  • Build monitoring and alerting systems to track data health and system performance, proactively identifying and remediating bottlenecks.
  • Partner with the application team to troubleshoot database queries, pipeline logic, and data-related application issues.
  • Recommend tools, processes, and best practices across teams for maintaining data health, integrity, and security.
  • Support AI operations (MLOps) by managing versioning, containerization, and deployment of AI models.

About the Company

VIA

Secure AI-driven data visualization for energy

VIA provides AI-driven data visualization for the energy and transportation sectors with a strong emphasis on data privacy. It helps EV fleet managers, data owners, and energy providers analyze insights without collecting or storing raw data, using encrypted analytics to keep information secure. The product shows secure visualizations and dashboards generated from encrypted data, so clients can verify CO2 emissions, track decarbonization progress, and improve grid flexibility without exposing sensitive information. VIA differentiates itself by delivering secure, privacy-preserving analytics rather than moving data to third-party systems, and by offering customized, subscription-based solutions tailored to each client’s needs and regulatory requirements. The company’s goal is to help customers meet decarbonization targets and optimize energy systems while maintaining stringent data privacy standards.

Company size
51-200
Company stage
Series B
Total funding
$47.1M
Headquarters
Somerville, MA
Founded
2016

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