Data Analytics Engineer — Remote, AI-Powered Insights

VIA; Oregon; Ibrido; USD 100.000 - 130.000; Tempo pieno

Vantaggi offerti da questo lavoro

Salary: $100,000 - $130,000 USD per yr

401K up to 5%

Top-tier health benefits

Descrizione del lavoro

VIA is seeking a Data Analytics Engineer to turn raw data into clear narratives powering VIA's data products. You will work on high-velocity, Agile teams with software engineers, data peers, and client delivery professionals to drive end-to-end data initiatives with precision, security, and clarity.

You will translate domain knowledge into data infrastructure, build AI-powered insights, and own design and quality of ETL/ELT pipelines while collaborating with stakeholders to ensure trustworthy

Competenze

• 3+ years 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
• Proficiency in Python, R, or equivalent language
• Proficiency in at least two of: SQL/PostgreSQL, NumPy/pandas, Dagster/Airflow/dbt, AWS/Azure
• Ability to translate complex data findings into clear narratives

Mansioni

• Understand the data and the domain with client delivery teams
• Explore customer data to summarize contents, ranges, trends and anomalies
• Deliver data-based products including interactive analysis, quality reports, statistics and visualizations
• Incorporate AI into data products via automated insights and AI-assisted checks
• Oversee ETL/ELT pipelines and ensure data quality and traceability
• Improve internal tools for data cleaning, modeling, and analytics

Conoscenze

Python

R

Formazione

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

Strumenti

Dagster

Airflow

dbt

Descrizione del lavoro

VIA is seeking a Data Analytics Engineer to turn raw data into clear narratives powering VIA's data products. You will work on high-velocity, Agile teams with software engineers, data peers, and client delivery professionals to drive end-to-end data initiatives with precision, security, and clarity.

You will translate domain knowledge into data infrastructure, build AI-powered insights, and own design and quality of ETL/ELT pipelines while collaborating with stakeholders to ensure trustworthy