AI-Driven Data Analytics Engineer (Remote)

VIA; Washington (District of Columbia); Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Salary range: $100,000 - $130,000 USD

Health benefits

Parental leave: 24 weeks

Flexible vacation

Remote work options

Job summary

VIA, a mission-critical data software company, is seeking a Data Analytics Engineer in the Washington, DC area with remote-friendly options. You will turn raw data into clear narratives powering VIA's analytics products and guide customer decisions.

On a high-velocity Agile team, you’ll collaborate with software engineers, data peers, and client delivery professionals to lead data initiatives end to end, ensuring precision, security, and trust in data-driven insights.

Qualifications

• 3+ years in a data-driven role or equivalent in data-related projects.
• Bachelor’s or Master’s degree in science, math, engineering, or a data field.
• Proficient in Python or R and able to translate data into insights.

Responsibilities

• Understand the data and the domain by translating knowledge into data infrastructure requirements and resolving data issues.
• Build AI-powered data products, delivering interactive analysis, quality reports, and visualizations.
• Own ETL/ELT pipelines, coordinate with stakeholders, and ensure data quality and traceability.
• Improve internal tools for data cleaning, modeling, analytics, and data quality assessment.

Skills

Python

R

Data analysis

Strong communication

Education

Bachelor's or Master's degree in science, mathematics, engineering, or a data-driven field

Tools

SQL

PostgreSQL

NumPy

pandas

Dagster

Airflow

dbt

AWS

Azure

Job description

VIA, a mission-critical data software company, is seeking a Data Analytics Engineer in the Washington, DC area with remote-friendly options. You will turn raw data into clear narratives powering VIA's analytics products and guide customer decisions.

On a high-velocity Agile team, you’ll collaborate with software engineers, data peers, and client delivery professionals to lead data initiatives end to end, ensuring precision, security, and trust in data-driven insights.