Data Analytics Engineer
VIA Science, Inc. (VIA) is a Somerville-based data-security software company providing Web3, quantum-resistant, passwordless, AI, blockchain, and privacy technologies for government, defense, critical infrastructure, and enterprises.
Maintainer signals as of 9/2/2026
Projects
About VIA Science, Inc.
VIA describes itself as a provider of Web3 technologies to the U.S. Department of Defense and critical-infrastructure companies. Its current offerings include GHOST for corrections intelligence, Quantum Transfer for secure large-file transfers, SLAM AI for secure collaboration between teams and AI agents, VIA Wallet for offline-capable stablecoin payments, and VIA Zero Trust Fabric for passwordless application authentication. VIA also develops VIAsecurechain, a permissioned, DoD-accredited blockchain used for verifiable data protection and privacy-preserving workflows.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will translate customer domain knowledge into data infrastructure requirements and investigate complex datasets. You will deliver data products, analyses, visualizations, and AI-enabled insights; own reliable ETL/ELT pipelines; validate AI/ML outputs; and improve data-cleaning, modeling, analytics, and data-quality tools.
Requirements
- 3+ years of experience in a data-driven role or equivalent data-related research projects
- Bachelor’s or Master’s degree in science, mathematics, engineering, or a data-driven field
- Python, R, or an equivalent programming language
- Competence in at least two listed areas: database technologies, data science libraries, data-pipelining tools, or cloud providers
- Ability to translate complex data findings into clear narratives
- Ability to decompose operational workflows into clear, repeatable steps
- Proven experience transforming raw inputs into trusted datasets
- Ability to learn new technologies quickly
Responsibilities
- Translate customer domain knowledge into data infrastructure requirements
- Explore customer data and recommend data cleaning and analysis approaches
- Deliver interactive data analysis products, quality reports, statistical analyses, and visualizations
- Build AI-enabled data-product capabilities, including automated insights, anomaly detection, quality checks, and natural-language interfaces
- Evaluate AI/ML output reliability and design human-in-the-loop checks
- Design and maintain reliable ETL/ELT pipelines
- Coordinate resolution of missing information and data discrepancies
- Run automated and manual data-quality reviews and document assumptions and decisions
- Improve internal data-cleaning, modeling, analytics, and data-quality tools through automation and AI
Benefits
- 401K plan with up to 5% employer contribution
- Fully funded health plan including vision and dental coverage for the whole family from day one
- Up to 24 weeks of paid parental leave
- Four-week paid ramp-back program
- $10K family-forming benefit for fertility treatments, adoption, and surrogacy
- Flexible vacation policy with no annual limit or accrual period
- Summer Fridays
- Extended holiday period in December
- Work-from-home flexibility and access to offices
- Remote work from eligible locations for up to two months per year
- Dedicated wellness advisor
- Commuting-cost benefits
- In-person team events