Data Engineer

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

Data Engineer

Direct Hire Onsite Pasadena (local are encouraged to apply)

W2 Only (No Sponsorship/C2C)

We are looking for a Data Engineer to design, optimize, and manage scalable data architecture. In this role, you will build critical ETL/ELT pipelines, collaborate with the Data Architect, and empower business stakeholders with data-driven insights.

The ideal candidate is a proactive, resilient, and collaborative professional who operates with minimal supervision to achieve both personal and collective goals. They blend technical curiosity and strategic insight with strong analytical problem-solving skills to translate high-level organization vision into measurable results. An exceptional communicator and ethical leader, they excel at building mutual trust, navigating complex human dynamics, and embracing continuous learning. Ultimately, they thrive on taking full accountability for execution while respectfully challenging the status quo to drive long-term business strategy.

Responsibilities:

• Pipeline Engineering: Design, build, and optimize resilient ETL/ELT pipelines.
• Infrastructure: Scale secure data lakes, warehouses, and containerized services (Docker/Kubernetes).
• AI & Automation: Support AI automation initiatives using LLMs and agents.
• Data Governance: Implement strict data validation, privacy, and compliance policies.

Requirements:

• Core Tech: Strong Python, advanced SQL, and cloud platform experience (AWS/Azure/GCP).
• Data Systems: Proven success building data lakes, lakehouses, and Spark frameworks.
• Orchestration: Ability to automate complex pipelines into self-healing systems.
• Education: Bachelor's degree in CS, Data Science, or a related field.

Desired:

• Master's Degree in Data Science.
• Experience with Apache Airflow, Fabric, or Databricks.
• Knowledge of data modeling and BI tools like Power BI or Tableau.