Data Engineer II - Contract

TalentBurst, Inc.

Cupertino, CA

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JOB DETAILS

SKILLS

Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Automation, Bash Scripting, Big Data, Bridge Building, Civil Engineering, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Data Analysis, Data Management, Data Modeling, Data Warehousing, DevOps, Docker, Ecosystems, GitHub, Identify Issues, Performance Management, Python Programming/Scripting Language, SQL (Structured Query Language), Scalable System Development, Software Engineering, Systems Reliability, Unix Shell Programming

LOCATION

Cupertino, CA

POSTED

1 day ago

Data Engineer (SW)
Cupertino, CA
12 months
Hybrid (3 days in office/week)
Hours: 40 per week

Role Overview
We are seeking a Data Engineer with strong data pipeline development skills and hands-on experience managing containerized workflows in Kubernetes and Docker. This role combines traditional data engineering responsibilities with infrastructure-focused work to support deployment, monitoring, and automation of data services.

Key Skills
•            SQL
•            Python
•            Bash/Shell scripting
•            Spark
•            Airflow
•            Snowflake
•            DBT
•            AWS S3
•            Kubernetes
•            Docker
•            CI/CD
•            GitHub
•            DevOps

Key Requirements
•            2–5 years of experience in Data Engineering, Software Engineering, or Analytics
•            Strong SQL and Python skills with comfort working in Bash/Shell
•            Hands-on experience with Spark, Airflow, Snowflake, DBT, and AWS S3
•            Strong Kubernetes and Docker experience, including deploying, managing, and troubleshooting workflows
•            Familiarity with DevOps practices including CI/CD, monitoring, and automation (AWS preferred)
•            Ability to bridge both data engineering and infrastructure responsibilities
•            Solid understanding of data modeling, warehousing, and big data ecosystems

Responsibilities
•            Build and maintain scalable ELT pipelines using SQL and Python
•            Deploy, manage, and monitor containerized data workflows in Kubernetes and Docker
•            Collaborate cross-functionally to deliver reliable and well-documented data solutions
•            Implement automation and monitoring to improve system performance and reliability
•            Support urgent reporting requests and ad-hoc data analysis needs

Education
•            MS or equivalent experience preferred

About the Company

TalentBurst, Inc.

For over 20 years, TalentBurst Inc. has been an award-winning provider of cutting-edge Workforce Management Solutions. With a strong commitment to staying ahead in the tech landscape, we pioneer innovative approaches to talent acquisition. Our expertise spans Life Sciences, and Healthcare Staffing, Banking, Financial, IT, and Engineering, as well as Global Employer of Record (EOR), Agent of Record (AOR), State, Local Government and Education (SLED), and IC validation/compliance services. Additionally, our division, TalentProcure, leads the industry with offerings such as High Hazard Payroll, Managed Services, and Vendor on Premise (VOP) solutions.

Due to our prioritization of excellent standards, we are Joint Commission Certified and are a certified Minority Business Enterprise (MBE) in the USA and Canada. Supporting over 130 Fortune 500 companies globally, we excel in navigating the landscape of talent acquisition. In a world of constant change, we embrace developing people-centric solutions that address the unique demands of our clients. Stay connected by visiting our website and following us on social media!

COMPANY SIZE

5,000 to 9,999 employees

INDUSTRY

Staffing/Employment Agencies

FOUNDED

2002

WEBSITE

http://www.talentburst.com/