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.

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Skills

Candidate Availability

Hybrid · Somerville, Washington · Required

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