TL;DR

Senior Data Engineer (Data Science/ML): Develop and optimize data pipelines and analytics for IoT telemetry and industrial service data to improve field productivity and service delivery. Focus on data modeling, SQL and Python scripting, and collaboration with technical and business stakeholders to drive actionable insights.

Location: Atlanta, GA, United States

Company

%hirify_global% is a global leader in elevator and escalator technology focused on industrial service innovation and IoT data integration.

What you will do

Derive data-driven measures to optimize technician efficiency and reduce downtime
Communicate business value of data use cases to stakeholders
Collaborate with field experts, service SMEs, and R&D teams to contextualize data
Utilize Databricks and MS Azure Common Data Platform for data processing
Develop and optimize SQL queries and Python scripts for data exploration and analytics
Apply data modeling and validation techniques to ensure data accuracy

Requirements

Location: Must be based in Atlanta, GA, United States
English: Fluent (C2) required
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field
5-10 years experience in Data Science or Data Engineering
Experience with Databricks, SQL, Python, Power BI, and IoT telemetry data
Understanding of industrial machinery or similar equipment

Culture & Benefits

Comprehensive medical, dental, and vision coverage
Flexible spending and health savings accounts
Company-paid disability and life insurance
401(k) plan with company match
Paid vacation, holidays, sick leave, and parental leave