Principal Data Engineer
Varite Inc
Acton, CA, United States
15 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Compensation
$145,600 - $156,000
Working hours
Shift work
Job source
Tech stack
Cloud Computing
Data Architecture
Information Engineering
Data Governance
Data Integration
Data Warehousing
Python (Programming Language)
DataOps
Azure Data Factory
Information Technology
Data Pipelines
Azure Resource Manager
+1 more
Databricks
Job description
- A Principal Data Engineer is responsible for designing, implementing, and managing the data infrastructure of an organization.
- The position provides specialized technical expertise in data integration, data quality, data operations, data platform architecture, and data governance to ensure a reliable, scalable, and well-managed analytical environment.
Requirements
- Excellent verbal and written communication skills; customer service orientation; strong analytical & business acumen; Excellent time management and organization abilities; with a proven capacity to handle multiple tasks simultaneously.
- Highly collaborative, yet capable of working independently with focus and self-direction on projects; Meticulous and dedicated to delivering high-quality work; and effective mentor, providing guidance and support to junior data engineers and database administrators
Experience Required:
- Additional Experience Required
- Five (5) years of professional work experience specializing in Databricks with significant expertise in data engineering, data integration, data warehousing, and cloud computing.
- Five (5) years of experience in developing data pipelines using Python
- Three (3) years of experience in designing and developing Databricks medallion Lakehouse architecture, applying data governance, and data quality best practices One (1) year of experience in developing data models One (1) year of experience in Managing Azure Resources One (1) year of experience in automating Azure Data Resources using DataOps
Education Required
- This classification requires the possession of a bachelorβs in computer science, Data Engineering, or related field. Additional qualifying experience may be substituted for the required education on a year-for-year basis.
Benefits & conditions
- California Resident Candidates Only. Work is expected to be mostly REMOTE, and interviews will be conducted via Microsoft TEAMS.
- Work schedule will be 4/40, 10-hour day within the M-TH work schedule at the discretion of the program manager. Work shift ranges from 7:15am to 6:00pm.
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