Databricks Engineer

United StatesUnited States·Short Hillsmid
Other
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Quick Summary

Overview

Databricks Engineer - OnsiteBright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

Technical Tools
Other
Databricks Engineer - Onsite

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

Job Title: Databricks Engineer
Location: 100% Onsite (U.S.)
Position Type: Direct W2
Experience Required: 10+ years

Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.

Job Summary
We are seeking an experienced, hands-on Databricks Engineer to lead enterprise data integration, data warehousing, and analytics delivery. You will serve as a bridge among business users, Product Owners, Project Managers, QA teams, upstream and downstream application partners, and offshore development teams. Experience in Informatica, SQL Server, delivery management, and stakeholder engagement skills. Experience with Databricks, Power BI, and cloud platforms is a plus. 

Required Qualifications
  • Experience with Databricks, including data engineering, Delta Lake, lakehouse patterns, or ETL modernization.
  • Experience with Power BI, including enterprise dashboards, semantic models, data refresh, and reporting solutions.
  • Experience in data warehousing, ETL, data integration, or enterprise analytics delivery.
  • Experience leading technical teams and coordinating work with offshore delivery resources.
  • Strong hands-on experience with Informatica PowerCenter and/or Informatica Intelligent Cloud Services (IICS).
  • Strong experience with Microsoft SQL Server, advanced SQL development, stored procedures, query optimization, and performance tuning.
  • Experience developing or supporting enterprise data warehouse solutions on IBM Netezza.
  • Solid understanding of data integration patterns, dimensional modeling, batch processing, data quality, and production support.
  • Experience with cloud data services on Microsoft Azure, AWS, or Google Cloud Platform.
  • Experience working within Agile/Scrum and structured SDLC delivery environments.
  • Excellent communication, leadership, planning, organization, problem-solving, and stakeholder-management skills.

How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to venkat.r@bvteck.com or contact us at (908) 505-3899. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

Location & Eligibility

Where is the job
Short Hills, United States
On-site at the office
Who can apply
US

About this job

Who can apply
United States
Posted
3 days ago
Employer
has 492 open jobs on Jobera.

Listing Details

Posted
October 29, 2026
First seen
October 29, 2026
Last seen
November 1, 2026

Posting Health

Days active
2
Repost count
0
Trust Level
56%
Scored at
November 1, 2026

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Databricks Engineer