Data Analytics Engineer

VIA develops secure data exchange and trustworthy AI software for defense, public safety, and humanitarian organizations. The Data Analytics Engineer turns complex data into trusted customer-facing products and insights, builds AI-enabled analytics, oversees data pipelines, and improves data quality tools.

Responsibilities

• 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
• 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
• 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
• 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

Preferred

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

Benefits

• 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, as well as 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

Company

• Web3-based data and identity protection technologies
• Somerville, Massachusetts, USA
• http://www.solvewithvia.com/
• Founded in 2016
• 51-200 employees

Qualifications

• 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, R, or equivalent programming language
• Competence in at least two 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
• Generative AI tools (e.g. AWS Bedrock, LangChain)
• Testing frameworks (e.g. pytest)

Required skills

• AWS, AWS Bedrock, Airflow, Azure, Dagster, LangChain, NumPy, Python, R, SQL, dbt, pandas, pytest

Preferred skills

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

Experience

• 3+ years