Technology

Data Engineer Python

Ravh IT SolutionsCalifornia City, CA🇺🇸United StatesPosted Sep 22, 2026

Why This Role Stands Out

This on-site Data Engineer role offers a fantastic opportunity to build and optimize scalable data pipelines using your Python expertise, contributing to impactful projects with a reputable client. If you're a mid-senior level professional with strong Python, SQL, and ETL/ELT skills, you'll thrive in this collaborative environment and have the chance to further develop your data engineering capabilities. Apply today to join this dynamic team!

Quick Overview

Seniority

Mid Senior

Work mode

On Site

Location

California City, CA, United States

Posted

16 hours ago

DockerSQLAWSETLScrumSnowflakeAgileAirflowApacheApache SparkAzureData PipelineDatabricksGitGoogle CloudKafkaKubernetesPythonRedshift

Job Description

Role: Data Engineer – Python

Location: Irvine, CA

Client: TCS
Work Arrangement: Onsite
Employment Type: W2 Contrac

Job Description

We are looking for an experienced 10+ Data Engineer with strong Python expertise to design, develop, and maintain scalable data pipelines and data processing solutions. The ideal candidate will have hands-on experience with Python, SQL, cloud/data platforms, ETL/ELT processes, and working with large datasets.

Responsibilities

Design, develop, and maintain data pipelines and ETL/ELT workflows using Python.
Develop efficient data ingestion, transformation, validation, and processing solutions.
Write complex SQL queries for data extraction, transformation, and analysis.
Work with structured and unstructured data from multiple sources.
Develop and optimize batch and real-time data processing workflows.
Troubleshoot data pipeline issues and improve performance and reliability.
Collaborate with Data Scientists, Analysts, Application Developers, and Business teams.
Implement data quality checks, error handling, and monitoring.
Participate in data modeling, schema design, and database optimization.
Follow best practices for coding, testing, documentation, and deployment.
Support cloud-based data engineering and integration initiatives.

Required Skills

Strong hands-on experience with Python
Strong SQL skills
Experience developing ETL/ELT data pipelines
Experience with relational and/or cloud databases
Experience with data processing frameworks such as PySpark/Spark
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
Understanding of data warehousing and data modeling concepts
Experience with Git and CI/CD processes
Strong troubleshooting and problem-solving skills
Ability to work onsite in Irvine, CA

Preferred Skills