Data Engineer

Mantek Solutions; Pasadena (CA); On-site; USD 120,000 - 155,000; Full time

Job summary

Mantek Solutions is seeking a Data Engineer to design, optimize, and manage scalable data architecture in Pasadena. You will build critical ETL/ELT pipelines, collaborate with the Data Architect, and empower business stakeholders with data-driven insights.

The ideal candidate demonstrates proactive problem solving, collaboration, and accountability, delivering measurable results while navigating complex environments. This onsite role emphasizes robust data governance and scalable infrastructure.

Qualifications

• Bachelor's degree in CS, Data Science, or related field.
• Strong Python and SQL with cloud experience (AWS/Azure/GCP).
• Experience building data lakes, lakehouses, and Spark.
• Familiarity with ETL/ELT pipelines and data governance.

Responsibilities

• Pipeline Engineering: design, build, and optimize 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.

Skills

Python

SQL

Cloud platforms

Data Lakes

Spark

ETL/ELT pipelines

Docker/Kubernetes

Airflow

Databricks

Education

Bachelor's degree in CS or Data Science

Job description

Data Engineer

Direct Hire Onsite Pasadena

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.