Data Engineer
Python
Aks
Analytics
Azure
Azure Data Factory
Azure Data Platform
Big Data
Bigdata
Business Analytics
Business Intelligence
Cloud
Cloud Data Engineering
Cloud Data Platform
Cloud Platform
Cloud Platforms
Cloud Platforms Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Factory
Data Factory Azure
Data Integration
Data Lake
Data Lakehouse
Data Pipeline
Data Platform
Data Processing
Data Visualization
Data Warehouse
Database
Databases
Databricks
Delta Lake
Digital Marketing
Engineer
ETL
Hr Technology
Informatica
Information Technology (IT)
Microsoft
Microsoft Azure
Microsoft Office
Office Tools
Power BI
Power Platform
Programming
Programming Language
Programming Languages
Pyspark
Reporting and Analytics
Spark
SQL
Job Description
The Data Engineer role at Tandym Group focuses on maintaining the stability of a production data platform while supporting troubleshooting and modernization work in Bergen County. This hybrid position emphasizes Azure-based data engineering with Python and Databricks, along with PySpark transformations and T-SQL performance tuning.
Responsibilities
- Support and troubleshoot data pipelines, large datasets, and production data issues
- Build and maintain solutions in Azure data engineering environments using Python and Databricks
- Use notebooks and implement data transformations and read/write operations in PySpark
- Optimize data warehouse performance using advanced T-SQL practices, including indexing and query tuning
- Collaborate with stakeholders to resolve incidents, perform root-cause analysis, and improve data reliability
Required Qualifications
- 5+ years of experience in application support, technical leadership, or data-platform troubleshooting
- Bachelor’s degree in Computer Science, Information Systems, or a related field
- Hands-on experience with Azure data engineering and Python
- Working knowledge of Databricks and PySpark
- Advanced T-SQL and data warehouse experience, including stored procedures, functions, execution plans, indexing, and query optimization
- Experience troubleshooting ETL pipelines, data-quality issues, performance bottlenecks, and scalability challenges
- Understanding of RDBMS concepts, reporting flows, data movement, and production support practices
- Strong incident ownership, root-cause analysis, stakeholder communication, and technical coaching skills
Technologies
- Azure, Python, Databricks, PySpark
- T-SQL, Notebooks
- ETL pipelines, Azure Data Factory, ADLS, Delta, Parquet
- AKS, SSIS, MSBI
- Power BI, Alteryx
- ERP extraction, audit and accounting-related data
Location, Schedule, and Work Setting
- Location: Montvale, NJ (hybrid)
- Schedule: Monday to Friday
- Hours: Standard business hours
- Onsite requirement: Hybrid arrangement with at least 3 days onsite; Tues to Thurs are mandatory
Education
Bachelor’s degree in Computer Science, Information Systems, or a related field.
Compensation
USD 60 - 72 per hour.
Desired Skills
- Experience with Azure Data Factory, ADLS, Delta/Parquet, AKS, SSIS/MSBI
- Experience with Power BI, Alteryx
- ERP extraction concepts
- Exposure to audit and accounting-related data
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