Data Analytics Engineer
VIA is a company providing Web3 data-protection solutions for enterprises, government, military, and state organizations.
Funding history
About VIA
VIA develops Web3-based security and data-protection products intended to protect data against theft, misuse, and manipulation. The company serves enterprise and public-sector customers, including armed forces, intelligence communities, state law enforcement, and corrections organizations. Its products include GHOST, Quantum Transfer, SLAM AI, VIA Wallet, and VIA ZTF; it also provides technical tutorials and research through the VIA Knowledge Hub.
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