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EXL

Senior Data Engineer

EXL

. Design and develop ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT .

Posted 10/16/2026full-timeRemote • New Jersey • United StatesSenior💰 $90,000 - $110,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and developing ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT, while ensuring data quality and governance. Collaborates effectively with stakeholders to translate business requirements into technical solutions in a cloud-native environment.

Highest-signal resume keywords
Azure Data FactorySnowflakeSQLDBTData Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
ETLELTData IntegrationData TransformationData QualityData GovernanceSQL QueriesData WarehousingCloud-Based Data EnvironmentsLarge-Scale Datasets
Soft Skills
CollaborationStakeholder EngagementTroubleshootingOptimization
Tools & Technologies
Azure Cloud PlatformSnowSQLData Build Tool
Industry Keywords
Data EngineeringData PipelinesCloud-Native EnvironmentData Analysis

Tech Stack

Tools & technologies
AzureCloudETLSQL

About the role

Key responsibilities & impact
  • Design and develop ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT
  • Build and maintain data integration workflows from various data sources to Snowflake
  • Write efficient and optimized SQL queries for data extraction and transformation
  • Work with stakeholders to understand business requirements and translate them into technical solutions
  • Monitor, troubleshoot, and optimize data pipelines for performance and reliability
  • Maintain and enforce data quality, governance, and documentation standards
  • Collaborate with data analysts, architects, and DevOps teams in a cloud-native environment

Requirements

What you’ll need
  • Bachelor’s or master’s degree in computer science, Data Engineering, Information Systems, or a related field
  • 5+ years of experience in data engineering roles using Azure and Snowflake
  • Strong experience with Azure Cloud Platform services
  • Proven expertise in Azure Data Factory (ADF) for orchestrating and automating data pipelines
  • Proficiency in SQL for data analysis and transformation
  • Hands-on experience with Snowflake and SnowSQL for data warehousing
  • Practical knowledge of DBT (Data Build Tool) for transforming data in the warehouse
  • Experience working in cloud-based data environments with large-scale datasets
  • Work From Home arrangement

Benefits

Comp & perks
  • Benefits information provided at https://www.exlservice.com/us-careers-and-benefits
  • Base salary range of $90,000–$110,000
  • Potential compensation above the posted range for higher-cost zones such as California, New York, and New Jersey