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Data Engineer

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Onsite

Data Engineer

Tandym Group

Data Engineer

Skills

SQL QueriesData EngineeringPythonDatabricksAlteryxPySparkPower BIAzure

25 days ago

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Important information


Contract type:

Permanent

Location:

Montvale, NJ, USA

Work mode:

Onsite

Published on:

26 September 2026

What they need


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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