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BB
Benedikt Bischof
Making Data Warehouses Fast: A Developer’s Story
about 4 years ago
Data Engineer
PRIMUS Global Services, Inc
Parsippany-Troy Hills, NJ, United States
10 days ago
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Prepare application
- Draft this with your agent
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Amazon Web Services
Microsoft Azure
Continuous Integration
Data Governance
Extract Transform Load (ETL)
Python (Programming Language)
NumPy
SQL Databases
Pandas
Data Lakes
Pyspark
Bitbucket
+4 more
Data Management
Data Pipelines
Jenkins
Databricks
Job description
We have an immediate need for an experienced Data Engineer with strong expertise in Databricks, Unity Catalog, Delta Lake, PySpark, Python, SQL, data pipelines, and modern lakehouse architecture to design, develop, and support scalable data platforms for large-scale payroll, financial, and analytical datasets.
Requirements
This is a hybrid position based in Parsippany, NJ, requiring 3 days onsite per week for a candidate with deep experience in Databricks, Unity Catalog, Delta Lake, Databricks Workflows, Databricks Asset Bundles (Declarative Automation Bundles), AWS or Azure, Python, SQL, PySpark, pandas, NumPy, data modeling, ETL/ELT, CI/CD, Bitbucket Pipelines, Jenkins, and data quality frameworks.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.dice.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
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Core technical practices for robust data engineering
Sandhya Menon · World Congress 2026 Europe
4:32 min
Harnessing Spark with Python using PySpark and Py4J
Ayon Roy · LIVE
2:03 min
Accelerating pandas dataframes using cudf module plugins
Ankit Patel · World Congress 2024
2:34 min
Maximizing execution memory effectively via python numpy broadcasting
Jodie Burchell · LIVE
3:33 min
Refactoring data science workflows using Rapids QDF and Pandas
Paul Graham · LIVE
3:03 min
Career evolution in data engineering and AI platforms
Maria Apazoglou · Coffee With Developers
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