Lead Data Engineer - Cloud Data Platforms

Guidehouse; San Antonio, Northern (TX, KY); Hybrid; USD 80,000 - 133,000; Full time

Benefits offered by this job

Health Insurance

401(k) Retirement Plan

Paid Holidays

Parental Leave

Tuition Reimbursement

Job summary

Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms, pipelines, and cloud-based analytics solutions across AWS and Azure. The role emphasizes scalable data ecosystems, strong software engineering practices, and collaboration with multidisciplinary teams to deliver mission-critical data solutions.

You will build and maintain ETL/ELT pipelines, partner with architects and analysts, ensure data quality and governance, and contribute to technical

Qualifications

• Bachelor's degree in a technical field or equivalent experience.
• 3+ years in data engineering, software engineering, or analytics engineering.
• Proficient in Python, SQL, and data processing frameworks like Spark/PySpark.

Responsibilities

• Design, develop, and optimize scalable data pipelines and ETL/ELT processes.
• Build data architectures, data models, and storage solutions across cloud/hybrid environments.
• Implement CI/CD pipelines and DevOps for data workflows.

Skills

Python

SQL

Spark

Databricks

AWS

Azure

CI/CD

Git

Python ETL

Data modeling

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Snowflake

Docker

Kubernetes

Terraform

GitHub / Git

Job description

Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms, pipelines, and cloud-based analytics solutions across AWS and Azure. The role emphasizes scalable data ecosystems, strong software engineering practices, and collaboration with multidisciplinary teams to deliver mission-critical data solutions.

You will build and maintain ETL/ELT pipelines, partner with architects and analysts, ensure data quality and governance, and contribute to technical