Skip to main content
Tallo logoTallo logo
Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Apply Offsite

Data Engineer

Job

Spectraforce Technologies

Remote

Full-Time

Posted 4 weeks ago (Updated 1 day ago) • Actively hiring

Expires 7/13/2026

Review key factors to help you decide if the role fits your goals.
How is this calculated?
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
78
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

Data Engineer Spectraforce Technologies United States, California, Cupertino May 14, 2026
Role:
Data Engineer Location:
Cupertino, CA (Hybrid)
Duration:
12 months 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 GitHub, Docker
DevOps, CI/CD 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