Lead Data Engineer – GCP, ETL & Real-Time Dashboards

Quantum Technologies. LLC; Northern (KY); Hybrid; USD 80,000 - 105,000; Full time

Benefits offered by this job

Equal opportunity employer

Job summary

QUANTUM TECHNOLOGIES LLC is seeking a data professional with 5-8 years total experience, including 1-3 years specializing in Python and SQL, to turn data into actionable insights across the business. You will perform deep-dive analyses in SQL, Python, and R, design and maintain automated ETL pipelines on GCP, and build real-time dashboards to support data-driven decisions.

You will collaborate with stakeholders, streamline data workflows, and communicate findings to technical and non-technical

Qualifications

• 5–8 years of total experience with 1–3 years in Python and SQL.
• Experience with GCP services: BigQuery, Dataflow, Cloud Composer.
• Experience building automated ETL pipelines and working with streaming data.
• Experience with dashboards in Looker, Tableau, or Google Data Studio.
• Strong problem-solving, independence and collaboration, plus stakeholder management.

Responsibilities

• Advanced Data Analysis: Perform deep-dive data analysis using SQL, Python, and R to uncover trends, patterns, and actionable insights.
• Workflow Optimization: Identify opportunities to streamline data workflows across cross-functional teams.
• High-Impact Delivery: Thrive in a fast-paced environment, managing multiple priorities and delivering results under tight deadlines.

Skills

SQL

Python

R

Data analysis

Stakeholder management

Communication

Tools

BigQuery

Dataflow

Cloud Composer

Looker

Tableau

Google Data Studio

CI/CD

Terraform

Job description

QUANTUM TECHNOLOGIES LLC is seeking a data professional with 5-8 years total experience, including 1-3 years specializing in Python and SQL, to turn data into actionable insights across the business. You will perform deep-dive analyses in SQL, Python, and R, design and maintain automated ETL pipelines on GCP, and build real-time dashboards to support data-driven decisions.

You will collaborate with stakeholders, streamline data workflows, and communicate findings to technical and non-technical