Senior 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 domain knowledge into data infrastructure requirements, explore customer data, and identify patterns and quality issues. You will build interactive analytics platforms, reports, statistical analyses, visualizations, automated insights, anomaly detection, and AI-assisted data quality checks. You will own ETL and ELT pipelines, validate AI and machine learning outputs, run quality controls, document decisions, and improve tools for data cleaning, modeling, analytics, and quality assessment.
Requirements
- 5+ years of experience in a data-driven role or equivalent
- Bachelor’s or Master’s degree in science mathematics engineering or a data-driven field
- Proficiency in Python R or an equivalent programming language
- Competence in at least three relevant technology areas including databases data science libraries data pipelines cloud providers and data communication
- Strong communication capability
- Experience transforming raw inputs into trusted datasets
- Experience with generative AI tools is a plus
- Experience with testing frameworks is a plus
Responsibilities
- Translate domain knowledge into data infrastructure requirements
- Explore data and recommend cleaning and analysis approaches
- Deliver interactive data analysis platforms reports statistical analyses and visualizations
- Build automated insights anomaly detection and AI-assisted data quality checks
- Evaluate AI and machine learning output quality
- Design human-in-the-loop validation checks
- Own ETL and ELT pipeline design quality and reliability
- Coordinate resolution of missing information and data discrepancies
- Run automated tests and manual quality reviews
- Document assumptions and decisions
- Improve tools for data cleaning modeling analytics and data quality assessment
Benefits
- 401K plan with up to 5% employer contribution
- Fully funded health benefits including vision and dental coverage
- Up to 24 weeks paid parental leave
- 4-week paid ramp-back program
- $10K family forming benefit
- Flexible vacation policy with no set annual limit or accrual period
- Summer Fridays
- Extended holiday period in December
- Work-from-home flexibility
- Remote work from eligible locations for up to 2 months per year
- Transit benefits
- Dedicated wellness advisor
- In-person events