Senior Data Analytics Engineer

VIA•Columbia, MA

4d•Hybrid

About The Position

VIA is making an impact, and so can you. Headquartered in Boston, Massachusetts, VIA is a mission-critical software company that enables organizations to share and analyze sensitive data at speed without compromising security or control. VIA’s decentralized architecture keeps data sovereign, while its agentic AI helps organizations solve critical challenges, and its military-grade security governs access. Designed for simplicity, rapid deployment, and disconnected environments, VIA makes sensitive data usable wherever the mission happens, even offline. The Department of War, Fortune 50 companies, and critical infrastructure companies around the globe trust VIA to help them solve their toughest analytics and digital security challenges. Learn more: solvewithvia.com . An impressive mission requires an equally impressive Senior Data Analytics Engineer. As a Senior Data Analytics Engineer at VIA, you'll play a pivotal role in the growth of our solutions. You'll turn raw, complex, and often ambiguous data into the clear, trusted narratives that power VIA's data products and guide our customers' decisions. Operating on a high-velocity Agile team, you'll work cross-functionally with software engineers, data peers, and client delivery professionals to lead data initiatives end to end, in an environment where precision, security, and clarity are non-negotiable.

Requirements

5+ years of experience in a data-driven role or equivalent, including experience owning data initiatives and projects end to end
Bachelor’s or Master's degree in science, mathematics, engineering, or a data-driven field
Proficiency in Python, R, or equivalent programming language
Competence in at least three of the following technologies: Database technologies (e.g., SQL, PostgreSQL), Data science libraries (e.g., NumPy, pandas), Data pipelining workflows and tools (e.g., Dagster, Airflow, dbt), Cloud providers (e.g. AWS, Azure), including software development kits used to access data and services on these platforms
Ability to translate complex data findings into clear, compelling narratives
Strong communication capability to decompose complex operational workflows into clear, repeatable steps that both teammates and AI tools can act on
Passionate about data integrity, with a proven track record of transforming raw inputs into high quality, trusted datasets
A self-starter attitude and demonstrated ability to learn new technologies quickly

Nice To Haves

Generative AI tools (e.g. AWS Bedrock, LangChain)
Testing frameworks (e.g. pytest)

Responsibilities

Understand the data and the domain: Partner with VIA's client delivery team and customers to translate domain knowledge into data infrastructure requirements, validate assumptions, and resolve data-related issues
Explore customer data to build a clear picture of contents and characteristics (e.g. averages, expected ranges, trends, standard deviations) and make suggestions for data cleaning and analysis
Build AI-powered data products: Deliver data-based products to external customers, including interactive data analysis and investigation platforms, data quality reports, statistical analysis, and visualizations that turn complex findings into clear stories
Build AI into VIA's data products, for example through automated insights, anomaly detection, AI-assisted data quality checks, and natural-language interfaces over operational data
Evaluate the quality and reliability of AI/ML outputs against domain expectations, and design the human-in-the-loop checks that keep our data products trustworthy
Oversee data pipelines: Own the design, quality, and reliability of ETL/ELT pipelines, including work built with AI assistance
Coordinate with internal stakeholders and customers when information is missing or discrepancies are found
Run quality control on data and data products through both automated tests and targeted manual review, and document the assumptions and decisions made along the way so the work stays traceable
Improve the platform: Contribute to the continual improvement of internal tools for data cleaning, modeling and analytics, and data quality assessment by identifying key data-related challenges that are ideal candidates for automation and AI enhancement

Benefits

Competitive benefits
Flexible work options
Individualized mentoring and growth opportunities
Compensation: This role offers a salary range of $140,000 - $160,000 USD per year
401K plan with up to 5% employer contribution
A fully funded, top-tier health benefits plan, including vision and dental coverage, fully covered from day one, for your whole family
Up to 24 weeks paid parental leave
A 4-week paid ramp-back program
A $10K family forming benefit (covering fertility treatments, adoption, and surrogacy)
Flexible Vacation Policy with no set annual limit or accrual period
Summer Fridays
An extended holiday period in December
Flexibility to work from home as needed
Access to three well-located offices, designed for collaboration and stocked with everything you could need
Opportunities to work remotely from eligible locations for up to 2 months per year
Individualized growth opportunities, including internal and external mentorship panels, custom goals and feedback sessions, and/or access to learning and development programs, including VIA’s unrivaled leadership program
A dedicated wellness advisor to help you navigate the programs and opportunities available at VIA
Benefits to support commuting costs
In-person events to foster team bonding and collaboration across different teams