Senior Data Analytics Engineer

VIA; Washington; Hybrid; USD 140,000 - 160,000; Full time

Benefits offered by this job

Salary range $140,000-$160,000

Health benefits

Parental leave

Flexible vacation

Hybrid/remote work and multiple office

Mentorship programs

Job summary

VIA is seeking a Senior Data Analytics Engineer to translate domain knowledge into scalable data infrastructure and analytics platforms. You will partner with client delivery teams to define data requirements, validate assumptions, and build AI-powered data products that reveal actionable insights.

You will own ETL/ELT pipelines, ensure data quality, and collaborate with stakeholders to drive reliable data stories and visualizations across client environments.

Qualifications

• 5+ years of experience in a data-driven role or equivalent.
• 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 three of: SQL/PostgreSQL, NumPy/pandas, Dagster/Airflow/dbt, AWS/Azure, translating data findings into narratives.

Responsibilities

• Translate domain knowledge into data infrastructure requirements with clients.
• Explore customer data to summarize contents, ranges, trends, and anomalies.
• Deliver AI-powered data products including interactive analysis and quality reports.
• Own ETL/ELT pipelines and coordinate with stakeholders on data quality and discrepancies.
• Improve internal tools for data cleaning, modeling, analytics, and data quality.

Skills

Python

R

Data storytelling

Data visualization

Communication

Education

Bachelor's or Master's degree in science/engineering/data-driven field

Tools

SQL

PostgreSQL

NumPy

pandas

Dagster

Airflow

dbt

AWS

Azure

LangChain

Job description

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 agency 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.

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

Requirements

_ 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

Read more about our benefits and perks here.

Our commitment to Diversity and Inclusion:

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.

#LI-Hybrid