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Data Engineer

Tandym TechMontvale, NJ🇺🇸United StatesPosted Sep 25, 2026

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Montvale, NJ, United States
Posted
23 hours ago
SQLT-SQLETLAzureDatabricksPower BIPython

Job Description



A professional services firm in New Jersey is seeking a Data Engineer to support data platform stability, troubleshooting, and modernization efforts in Bergen County.


About the Opportunity:



  • Schedule: Monday to Friday

  • Hours: Standard business

  • Setting: Hybrid (at least 3 days onsite; Tues to Thurs are mandatory)


Responsibilities:



  • Support and troubleshoot data pipelines, large datasets, and production data issues

  • Develop and maintain solutions within Azure data engineering environments using Python and Databricks

  • Work with notebooks, data transformations, and read/write operations in PySpark

  • Optimize data warehouse performance through advanced T-SQL, indexing, and query tuning

  • Partner with stakeholders to resolve incidents, perform root-cause analysis, and improve data reliability


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 issues

  • Understanding of RDBMS concepts, reporting flows, data movement, and production support practices

  • Strong incident ownership, root-cause analysis, stakeholder communication, and technical coaching skills


Desired Skills:



  • Experience with Azure Data Factory, ADLS, Delta/Parquet, AKS, SSIS/MSBI, Power BI, Alteryx, ERP extraction concepts, or audit and accounting-related data


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