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
Translate domain knowledge into data infrastructure requirements, explore customer data, and identify cleaning and analysis opportunities. Deliver interactive analysis platforms, data quality reports, statistical analyses, visualizations, automated insights, anomaly detection, AI-assisted checks, and natural language interfaces. Design and maintain reliable ETL and ELT pipelines, validate AI and machine learning outputs, run quality controls, document decisions, and improve tools for data cleaning, modeling, analytics, and data quality assessment.
Requirements
- 3+ years of experience in a data-driven role or equivalent data-related research experience
- 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 database technologies, data science libraries, data pipelining workflows and tools, or cloud providers
- Ability to translate complex data findings into clear narratives
- Strong communication capability for decomposing complex operational workflows into clear repeatable steps
- Track record of transforming raw inputs into high-quality trusted datasets
- Ability to learn new technologies quickly
- Generative AI tool experience is a plus
- Testing framework experience is a plus
Responsibilities
- Partner with client delivery teams and customers to translate domain knowledge into data infrastructure requirements
- Validate assumptions and resolve data-related issues
- Explore customer data and analyze its contents and characteristics
- Suggest data cleaning and analysis approaches
- Deliver interactive data analysis and investigation platforms
- Create data quality reports, statistical analyses, and visualizations
- Build automated insights, anomaly detection, AI-assisted data quality checks, and natural language interfaces
- Evaluate AI and machine learning output quality against domain expectations
- Design human-in-the-loop checks for trustworthy data products
- Own the design, quality, and reliability of ETL and ELT pipelines
- Coordinate with stakeholders and customers to resolve missing information and discrepancies
- Run automated tests and targeted manual reviews on data and data products
- Document assumptions and decisions
- Identify opportunities to automate and enhance data cleaning, modeling, analytics, and data quality tools
Benefits
- Salary range of $100,000 to $130,000 USD per year
- 401K plan with up to 5% employer contribution
- Fully funded health benefits including vision and dental coverage for the whole family
- Up to 24 weeks of paid parental leave
- 4-week paid ramp-back program
- $10K family-forming benefit covering fertility treatments, adoption, and surrogacy
- Flexible vacation policy
- Summer Fridays
- Extended holiday period in December
- Flexible work-from-home options
- Remote work from eligible locations for up to 2 months per year
- Transit benefits
- In-person team bonding and collaboration events
- Dedicated wellness advisor