V

VIA

Secure AI-driven data visualization for energy

Data Analytics Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeSomerville, MA, USA$100k - $130k /yr

About the Job

Requirements

  • At least 3 years of experience in a data-driven role or equivalent experience in data-related research projects.
  • A bachelor's or master's degree in science, mathematics, engineering, or a data-driven field.
  • Competence in Python, R, or an equivalent programming language.
  • Competence in at least two of the following: database technologies such as SQL or PostgreSQL; data science libraries such as NumPy or pandas; data pipelining workflows and tools such as Dagster, Airflow, or dbt; or cloud providers such as AWS or Azure, including software development kits used to access data and services on those platforms.
  • Ability to translate complex data findings into clear, compelling narratives.
  • Ability to decompose complex operational workflows into clear, repeatable steps that teammates and AI tools can act on.
  • A proven track record of transforming raw inputs into high-quality, trusted datasets.

Responsibilities

  • Partner with the client delivery team and customers to translate domain knowledge into data infrastructure requirements, validate assumptions, and resolve data-related issues.
  • Explore customer data to understand its contents and characteristics, including averages, expected ranges, trends, and standard deviations, and suggest data cleaning and analysis.
  • Deliver data-based products to external customers, including interactive data analysis and investigation platforms, data quality reports, statistical analysis, and visualizations.
  • Build AI into data products through capabilities such as automated insights, anomaly detection, AI-assisted data quality checks, and natural-language interfaces over operational data.
  • Evaluate the quality and reliability of AI and machine-learning outputs against domain expectations, and design human-in-the-loop checks to maintain trustworthiness.
  • Own the design, quality, and reliability of ETL/ELT pipelines, including work built with AI assistance.
  • Coordinate with internal stakeholders and customers when information is missing or discrepancies are found.
  • Run quality control on data and data products through automated tests and targeted manual review, and document assumptions and decisions to keep work traceable.
  • Improve internal tools for data cleaning, modeling and analytics, and data quality assessment by identifying data-related challenges suitable for automation and AI enhancement.

Desired Qualifications

  • Experience with generative AI tools such as AWS Bedrock or LangChain.
  • Experience with testing frameworks such as pytest.

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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