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

Databricks Data Engineer @ Spring, TX (Onsite - NEED LOCALS) - W2 Only, ANY VISA

Job

HYR Global Source Inc

Spring, TX (In Person)

Full-Time

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

Expires 7/26/2026

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
86
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

Role:
Databricks Data Engineer Location:
Spring, TX•77389 (Onsite)•
NEED LOCALS
Duration:
12 Months + Extension .. Education Requirement•Bachelor's Degree in: Computer Science, Information Technology, Or related field Education Requirement•Bachelor's Degree in: Computer Science, Information Technology, Or related field
Required Skills:
6 years experience in data engineering Hands-on experience with Databricks and Spark Strong Python and SQL skills Experience building ETL pipelines Understanding of Delta Lake and distributed systems
Role Overview:
The Databricks Data Engineer is responsible for building and maintaining data ingestion and transformation pipelines within Databricks. This role focuses on bringing data from multiple source systems into the Lakehouse and preparing it for downstream analytics.
Key Responsibilities:
Develop and maintain data ingestion pipelines from multiple sources Build ETL/ELT pipelines using Databricks (PySpark, SQL) Implement medallion architecture (Bronze, Silver, Gold) Ensure data quality and validation across pipelines Optimize pipeline performance and scalability Work with structured and semi-structured data formats Monitor pipeline execution and resolve issues Thanks & Regards, Namrata Ahuja | Lead Talent Acquisition•US Staffing T | #LI-NA1