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Salary: USD 100,000 - 130,000 / annual
VIA is a digital infrastructure company serving mission-critical organizations including government agencies and global enterprises. The company builds products spanning agentic AI, zero-trust identity, quantum-resistant data, and offline stablecoin payments, with a focus on speed, security, and defensibility.
As a Data Analytics Engineer, you will be a core member of a high-velocity Agile team, translating complex, ambiguous data into clear, trusted narratives that power VIA's data products and guide customer decisions. You'll work cross-functionally with software engineers, data peers, and client delivery professionals on end-to-end data initiatives.
Key responsibilities include:
• Understanding data and domain: 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 to identify characteristics, trends, and opportunities for cleaning and analysis.
• Building AI-powered data products: Deliver data-based products to external customers, including interactive analysis platforms, data quality reports, statistical analysis, and visualizations. Integrate AI capabilities such as automated insights, anomaly detection, AI-assisted quality checks, and natural-language interfaces. Evaluate AI/ML output quality and design human-in-the-loop checks to maintain trustworthiness.
• Overseeing data pipelines: Own the design, quality, and reliability of ETL/ELT pipelines. Coordinate with internal stakeholders and customers when data is missing or discrepancies are found. Run quality control through automated tests and targeted manual review, documenting assumptions and decisions for traceability.
• Improving the platform: Identify data-related challenges ideal for automation and AI enhancement, contributing to continuous improvement of internal tools for data cleaning, modeling, analytics, and quality assessment.
You will bring 3+ years of experience in a data-driven role or equivalent research background, a Bachelor's or Master's degree in science, mathematics, engineering, or a related field, and competence in Python, R, or equivalent programming languages. You must be proficient in at least two of: database technologies (SQL, PostgreSQL), data science libraries (NumPy, pandas), data pipelining tools (Dagster, Airflow, dbt), or cloud providers (AWS, Azure). Strong communication skills, ability to translate complex findings into clear narratives, and passion for data integrity are essential. Experience with generative AI tools and testing frameworks is a plus.
VIA values self-motivated team players who are passionate about excellence, creative problem-solvers who respectfully challenge the status quo, and individuals who lead with curiosity and value diverse perspectives.
