Senior Data Analytics Engineer - AI-Driven Insights

VIA; Somerville (MA); Hybrid; USD 140,000 - 160,000; Full time

Benefits offered by this job

Salary range: $140,000 - $160,000 USD

401K with employer contribution

Health benefits (vision & dental)

Parental leave (up to 24 weeks)

Flexible vacation

Remote work options with offices

Job summary

VIA is seeking a Senior Data Analytics Engineer to turn raw data into trusted narratives that power VIA's data products. You’ll work on a high-velocity Agile team across data engineers, data peers, and client delivery professionals to drive data initiatives end to end with precision, security, and clarity.

You will translate domain knowledge into data infrastructure requirements, build AI-powered analytics, and own data quality across pipelines while collaborating with customers and internal

Qualifications

• 5+ years in a data-driven role owning data initiatives end to end.
• Bachelor’s or Master’s degree in science, mathematics, engineering, or data field.
• Proficiency in Python, R, or equivalent.
• Experience with databases, data science libraries, and data pipelines.
• Ability to translate complex data findings into clear narratives.
• Bonus: Generative AI tools or pytest experience.

Responsibilities

• Understand data and domain to translate into data infrastructure requirements.
• Build AI-powered data products, including interactive analysis and visualizations.
• Own ETL/ELT pipelines and ensure data quality and reliability.
• Collaborate with cross-functional teams and clients to align data initiatives.
• Contribute to internal tools for data cleaning, modeling, analytics, and data quality.

Skills

Python

R

Data storytelling

5+ years data experience

Education

Bachelor's/Master's in STEM

Tools

SQL

Dagster

Airflow

dbt

AWS

Job description

VIA is seeking a Senior Data Analytics Engineer to turn raw data into trusted narratives that power VIA's data products. You’ll work on a high-velocity Agile team across data engineers, data peers, and client delivery professionals to drive data initiatives end to end with precision, security, and clarity.

You will translate domain knowledge into data infrastructure requirements, build AI-powered analytics, and own data quality across pipelines while collaborating with customers and internal