Senior Data Engineering Lead — GCP & BigQuery Pipelines

Tek Leaders Inc; Madison (WI); Hybrid; USD 140,000 - 180,000; Full time

Job summary

Tek Leaders Inc. seeks a Lead Data Engineer for a hybrid role in Madison, WI. You will lead data engineering initiatives, architect scalable ETL/ELT pipelines, and collaborate with cross-functional teams to deliver data solutions.

You will bring 8-10+ years in data engineering, 3+ years in leadership, and deep expertise in Python, GCP, BigQuery, Dataflow, Dataproc, Airflow, and SQL. Strong communication and the ability to drive production readiness are essential.

Qualifications

• Bachelor's Degree in Computer Science, Engineering, Information Systems, or related field.
• 8-10+ years of Data Engineering experience.
• 3+ years in Lead, Principal, or Senior Data Engineering capacity.
• Expert-level proficiency with Python for data engineering.
• Strong hands-on experience with Google Cloud Platform (GCP).
• Extensive experience with: BigQuery, Dataflow, Dataproc / PySpark, Cloud Composer (Airflow), Pub/Sub, Cloud Storage
• Strong SQL development and data modeling experience.
• Experience building enterprise-scale ETL/ELT pipelines.
• Experience working with large-volume datasets and performance optimization.
• Knowledge of CI/CD, Git, DevOps practices, and automated deployment frameworks.
• Strong communication and stakeholder management skills.
• Ability to work independently and lead technical initiatives from concept through production.

Skills

Python

GCP

SQL

ETL/ELT pipelines

Data Modeling

Leadership

Education

Bachelor's Degree in Computer Science, Engineering, Information Systems, or related field

Tools

BigQuery

Dataflow

Dataproc

Airflow

Pub/Sub

Cloud Storage

Git

CI/CD

Job description

Tek Leaders Inc. seeks a Lead Data Engineer for a hybrid role in Madison, WI. You will lead data engineering initiatives, architect scalable ETL/ELT pipelines, and collaborate with cross-functional teams to deliver data solutions.

You will bring 8-10+ years in data engineering, 3+ years in leadership, and deep expertise in Python, GCP, BigQuery, Dataflow, Dataproc, Airflow, and SQL. Strong communication and the ability to drive production readiness are essential.