Lead AWS Data Engineer: Lakehouse, Hands-On, Hybrid

INSPYR Solutions; Houston (TX); Hybrid; USD 120,000 - 140,000; Full time

Benefits offered by this job

Leadership impact opportunities

Modern tech stack

Career growth potential

Job summary

A leading technology solutions provider is seeking a hands-on Lead Data Engineer to modernize an enterprise data platform using AWS Lakehouse architecture. This role focuses on designing and operating data pipelines, re-engineering legacy systems, and mentoring engineers. Applicants should have a BA/BS in Computer Science, strong experience with AWS data services, and proficiency in Python. This position offers a hybrid work environment based in Houston or Dallas, TX, and provides opportunities for career growth.

Qualifications

• At least 8 years of hands-on data engineering experience or equivalent.
• Strong experience with AWS data services and open table formats.
• Experience in orchestrating data pipelines using Airflow.

Responsibilities

• Design and operate end-to-end production-grade data pipelines.
• Re-engineer ETL processes into a lakehouse architecture.
• Develop pipelines using Python, PySpark, and Spark on AWS.

Skills

Hands-on experience with AWS data services

Proficiency in Python

Experience with Apache Iceberg

Strong communication skills

Education

BA/BS in Computer Science or a related field

Tools

AWS Glue

Airflow

Spark

Job description

A leading technology solutions provider is seeking a hands-on Lead Data Engineer to modernize an enterprise data platform using AWS Lakehouse architecture. This role focuses on designing and operating data pipelines, re-engineering legacy systems, and mentoring engineers. Applicants should have a BA/BS in Computer Science, strong experience with AWS data services, and proficiency in Python. This position offers a hybrid work environment based in Houston or Dallas, TX, and provides opportunities for career growth.