Data Specialist
VIA is a company providing Web3 data-protection solutions for enterprises, government, military, and state organizations. Its offerings include an enterprise wallet, hypersecure generative AI, secure file transfer, and passwordless login products.
Projects
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
About the Role
You will turn raw data into trusted datasets and power data products with AI enhanced pipelines. You will collaborate with client delivery teams and data professionals to translate domain knowledge into data infrastructure requirements, validate assumptions, and resolve data related issues. You will explore raw customer data to understand files, columns, and characteristics, and you will build end to end pipelines to move data into standardized databases. You will implement AI enhanced data products and perform quality control with automated tests and manual review to ensure trust and reliability. You will deliver data based products including interactive analyses and data quality reports to external customers, and you will continually look for ways to improve the platform.
Requirements
- 3+ years of experience in a data driven role or equivalent in data related research projects
- Bachelor's or Master's degree in science mathematics engineering or a data driven field
- Competence in Python or R or equivalent programming language
- Competence in at least two of the following: database technologies SQL PostgreSQL; data science libraries NumPy pandas; data pipelining tools Dagster Airflow dbt; Cloud providers AWS Azure
- Ability to translate complex data findings into clear narratives
- Strong communication capability to decompose complex operational workflows into clear repeatable steps
- Passion for data integrity with a proven track record of transforming raw inputs into high quality datasets
- A self starter attitude and demonstrated ability to learn new technologies quickly
- Experience in the following is a plus: Generative AI tools AWS Bedrock LangChain
- Testing frameworks pytest
Responsibilities
- Understand the data and the domain
- Translate domain knowledge into data infrastructure requirements and resolve data related issues
- Explore raw customer data to identify files columns characteristics and derive insights
- Build and own data pipelines
- Design and implement end to end ETL ELT pipelines
- Coordinate with internal stakeholders and customers when information is missing or discrepancies are found
- Run quality control on data and data products through automated tests and manual review
- Build AI powered data products including automated insights anomaly detection and AI assisted data quality checks
- Evaluate the quality and reliability of AI ML outputs against domain expectations
- Deliver data based products to external customers including interactive data analysis and visualizations
- Improve the internal tools for data cleaning and data quality assessment
Benefits
- Fully funded health benefits plan including vision and dental coverage
- 401K plan with up to 5% employer contribution
- Parental leave up to 24 weeks with a ramp back program
- Family forming benefit up to 10000
- Flexible vacation policy
- Remote work flexibility and four offices
- Ability to work remotely from eligible locations up to 2 months per year
- Wellness advisor
- Transit benefits
- In person events to foster team bonding