Data Engineer: Build Scalable Pipelines & AI

Mantek Solutions; Pasadena (CA); On-site; USD 110,000 - 170,000; Full time

Job summary

Mantek Solutions in Pasadena, CA is seeking a Data Engineer to design, optimize, and manage scalable data architecture. You will build ETL/ELT pipelines, develop data lakes and lakehouses, and enable stakeholders with data-driven insights.

The ideal candidate combines Python and SQL expertise with cloud experience (AWS/Azure/GCP) and a passion for automation, governance, and collaboration. You will work closely with the Data Architect and operations teams to deliver reliable data platforms.

Qualifications

• Bachelor’s degree in CS, Data Science, or related field.
• Strong Python and SQL skills with cloud experience (AWS/Azure/GCP).
• Proven track record building data lakes and lakehouses with Spark.
• Experience designing scalable ETL/ELT pipelines and data governance.
• Familiarity with Airflow, Databricks, and containerized services.

Responsibilities

• Design, build, and optimize scalable ETL/ELT pipelines.
• Scale secure data lakes, warehouses, and containerized services (Docker/Kubernetes).
• Collaborate with Data Architect and stakeholders to enable data-driven insights.
• Implement data governance, privacy, and compliance policies.
• Lead automation initiatives and AI-related data workflows.

Skills

Python

SQL

Cloud platforms

ETL/ELT pipelines

Data lakes / lakehouses

Spark

Automation / orchestration

Education

Bachelor's degree in CS / Data Science

Master's degree

Tools

Airflow

Databricks

Docker/Kubernetes

Power BI

Tableau

Job description

Mantek Solutions in Pasadena, CA is seeking a Data Engineer to design, optimize, and manage scalable data architecture. You will build ETL/ELT pipelines, develop data lakes and lakehouses, and enable stakeholders with data-driven insights.

The ideal candidate combines Python and SQL expertise with cloud experience (AWS/Azure/GCP) and a passion for automation, governance, and collaboration. You will work closely with the Data Architect and operations teams to deliver reliable data platforms.