Data Engineering Lead - GCP, ETL & Real-Time Dashboards

MACHINE LEARNING TECHNOLOGIES LLC; Saint Paul (MO); On-site; USD 96,000 - 152,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in St. Paul, MO is seeking a Data Engineer Team Lead with 5–8 years of data engineering experience and 1–3 years in Python and SQL.

You will design scalable ETL pipelines on GCP, build real-time dashboards, and collaborate closely with stakeholders to translate questions into actionable analytics. You will lead data initiatives, ensure data quality, and communicate insights to both technical and non-technical audiences in a fast-paced environment.

Qualifications

• 5–8 years of data engineering experience with 1–3 years in Python and SQL.
• Hands-on with GCP services such as BigQuery and Dataflow.
• Experience building automated ETL pipelines and dashboards.

Responsibilities

• Perform deep-dive data analysis using SQL, Python, and R to uncover trends and insights.
• Collaborate with stakeholders to translate business questions into analytical solutions.
• Design, build, and maintain automated ETL pipelines on GCP using Dataflow, BigQuery, and Cloud Composer.
• Develop and deploy real-time dashboards using Looker, Data Studio, or other BI tools.
• Identify and implement opportunities to streamline data workflows across cross-functional teams.
• Drive process improvements to enhance data accessibility and reliability.
• Thrive in a fast-paced environment and communicate findings clearly to technical and non-technical audiences.

Skills

SQL

Python

R

GCP

ETL pipelines

BI tools

Tools

BigQuery

Dataflow

Cloud Composer

Pub/Sub

Cloud Functions

Looker

Tableau

Data Studio

Job description

MACHINE LEARNING TECHNOLOGIES LLC in St. Paul, MO is seeking a Data Engineer Team Lead with 5–8 years of data engineering experience and 1–3 years in Python and SQL.

You will design scalable ETL pipelines on GCP, build real-time dashboards, and collaborate closely with stakeholders to translate questions into actionable analytics. You will lead data initiatives, ensure data quality, and communicate insights to both technical and non-technical audiences in a fast-paced environment.