Senior Data Analytics Engineer
- Pay
- $140,000 – $160,000 per year
- Location
- Somerville, MA · Hybrid
- Job type
- Full-time
- Level
- Senior
- Experience
- 5+ years
- Education
- Bachelor's degree
- Listed
- 30 days ago
Skills & highlights for this role
- Python
- SQL
- data pipelining workflows
- pandas
Also useful
- AWS Bedrock
- LangChain
- pytest
Stated benefits & perks
- Flexible work
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.
In this role, you will
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
What you will bring to this role
- 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
- Experience in the following is a plus:
- Generative AI tools (e.g. AWS Bedrock, LangChain)
- Testing frameworks (e.g. pytest)
What does it take to be a successful VIAneer? Let's break it down, our VIAneers are:
- Self-motivated and passionate about leaving everything they touch better than how they found it
- Firm believers that people should love what they do and are eager to build a culture that enables them to do their best work
- Creative problem solvers who respectfully challenge the status quo in the pursuit of excellence
- People who lead discussions with curiosity and value diverse perspectives
- Eager to explore new ideas, understand the power of feedback, and constantly seek opportunities to grow and develop their skills
- Strong team players who thrive in collaborative environments and celebrate the success of others
Benefits
What can VIA do for you?
VIA offers competitive benefits, flexible work options, and individualized mentoring and growth opportunities. Here are just a few of our VIAneers' favorite perks:
- Compensation:
- This role offers a salary range of $140,000 - $160,000 USD per year
- 401K plan with up to 5% employer contribution
- Health: A fully funded, top-tier health benefits plan, including vision and dental coverage, fully covered from day one, for your whole family
- Family Support: Up to 24 weeks paid parental leave, a 4-week paid ramp-back program, and a $10K family forming benefit (covering fertility treatments, adoption, and surrogacy)
- Time off: Flexible Vacation Policy with no set annual limit or accrual period, Summer Fridays, and an extended holiday period in December
- Remote work: Ability to enjoy the best of both worlds with 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
- Growth: 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
- Transit: Benefits to support commuting costs
- Connection: In-person events to foster team bonding and collaboration across different teams
Equal opportunity and legal notices
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
From VIA's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
What is the salary for the Senior Data Analytics Engineer role at VIA?
The Senior Data Analytics Engineer posting at VIA states compensation of $140,000 – $160,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on VIA's official career site.
Where is the Senior Data Analytics Engineer job at VIA located?
This Senior Data Analytics Engineer position at VIA is located in Somerville, MA (Hybrid). Always check VIA's application page for specific state eligibility or relocation policies.
What qualifications are required for Senior Data Analytics Engineer at VIA?
For the Senior Data Analytics Engineer role, VIA highlights 5+ years of relevant experience; a bachelor's degree; experience with Python, SQL, data pipelining workflows, pandas. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Senior Data Analytics Engineer position at VIA?
This listing links directly to VIA's Greenhouse application page. You can apply directly on VIA's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.