Data Engineer

StaffXpert LLC; Montvale (NJ); Hybrid; USD 110,000 - 170,000; Part time

Job summary

STAFFXPERT LLC is seeking a Data Engineer in Montvale, NJ to support data platform stability, troubleshooting, and modernization initiatives. The ideal candidate will have strong experience with Azure data engineering, Python, Databricks, PySpark, and SQL Server, along with a proven ability to troubleshoot production data environments and optimize data pipelines and warehouse performance.

This role requires close collaboration with technical teams and business stakeholders to resolve

Qualifications

• 5+ years of data engineering, application support, technical leadership, or data-platform troubleshooting.
• Bachelor's degree in CS/IS/Engineering or related field.
• Hands-on experience with Microsoft Azure data engineering technologies.
• Strong programming experience with Python.
• Working experience with Databricks and PySpark.
• Strong T-SQL skills and enterprise data warehouses.
• Experience troubleshooting ETL pipelines, data-quality issues, and performance challenges.
• Experience with incident management and stakeholder communication.

Responsibilities

• Support, monitor, and troubleshoot data pipelines, large datasets, and production data issues.
• Develop and maintain data engineering solutions within Microsoft Azure environments using Python and Databricks.
• Build notebooks, data transformations, and data processing workflows using PySpark.
• Perform data read/write operations and troubleshoot data processing issues across enterprise platforms.
• Optimize data warehouse performance using T-SQL, indexing, and query tuning.
• Troubleshoot ETL pipelines, data-quality issues, and scalability challenges.
• Investigate production incidents, perform root-cause analysis, and implement sustainable solutions.
• Collaborate with stakeholders and technical teams to resolve data and platform issues.
• Contribute to data platform modernization and operational improvements.
• Provide technical guidance to team members when needed.

Skills

Azure data engineering

Python

Databricks

PySpark

T-SQL

Incident management

Problem solving

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field

Tools

Azure Data Factory (ADF)

Azure Data Lake Storage (ADLS)

Delta Lake

Parquet

AKS

SSIS/MSBI

Power BI

Alteryx

Job description

Data Engineer
Location: Montvale, NJ
Work Model: Hybrid, 3 days onsite
Schedule: Monday Friday, standard business hours
Employment Type: Contract

Job Summary

STAFFXPERT LLC is seeking a Data Engineer on behalf of our client in Montvale, NJ to support data platform stability, troubleshooting, and modernization initiatives. The ideal candidate will have strong experience with Azure data engineering, Python, Databricks, PySpark, and SQL Server, along with a proven ability to troubleshoot production data environments and optimize data pipelines and warehouse performance.

This role requires close collaboration with technical teams and business stakeholders to resolve data-related incidents, identify root causes, and improve the reliability and scalability of enterprise data platforms.

Key Responsibilities

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

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

• Build and maintain notebooks, data transformations, and data processing workflows using PySpark.

• Perform data read/write operations and troubleshoot data processing issues across enterprise platforms.

• Optimize data warehouse performance using advanced T-SQL, indexing, execution plans, and query tuning.

• Troubleshoot ETL pipelines, data-quality issues, performance bottlenecks, and scalability challenges.

• Investigate production incidents, perform root-cause analysis, and implement sustainable solutions.

• Collaborate with stakeholders and technical teams to resolve data and platform issues.

• Contribute to data platform modernization, reliability, and operational improvements.

• Provide technical guidance and coaching to team members when needed.

Required Qualifications

• 5+ years of experience in data engineering, application support, technical leadership, or data-platform troubleshooting.

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.

• Hands-on experience with Microsoft Azure data engineering technologies.

• Strong programming experience with Python.

• Working experience with Databricks and PySpark.

• Strong T-SQL skills and experience working with enterprise data warehouses.

• Experience with stored procedures, functions, execution plans, indexing, and query optimization.

• Experience troubleshooting ETL pipelines, data-quality issues, performance problems, and scalability challenges.

• Strong understanding of relational database concepts, data movement, reporting flows, and production support practices.

• Demonstrated experience with incident management, root-cause analysis, and stakeholder communication.

• Strong problem-solving and communication skills.

Preferred Qualifications

• Experience with Azure Data Factory (ADF).

• Experience with Azure Data Lake Storage (ADLS).

• Knowledge of Delta Lake and Parquet.

• Experience with AKS (Azure Kubernetes Service).

• Familiarity with SSIS/MSBI.

• Experience with Power BI or Alteryx.

• Understanding of ERP data extraction and integration concepts.

• Experience working with data related to audit, accounting, or financial services environments.

Work Environment

This is a hybrid position based in Montvale, NJ, with a minimum of three days onsite per week. Tuesday through Thursday are required onsite days.