Data Engineer Tandym Group - 3.8 Montvale, NJ Job Details Contract $60 - $72 an hour 10 hours ago Qualifications Index optimization Commercial use (data warehousing systems) Performance tuning Cloud analytics services Databricks Data Integration (Data management) Defect resolution root cause analysis Incident management Cloud data warehouses Query plan analysis Coaching Spark Data retrieval time improvement Stored procedures Bachelor's degree Quality issues Incident management operations support Scalability Problem management Application Maintenance Systems & applications support Project stakeholder communication Python Failure analysis Production troubleshooting T-SQL Full 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