Data Engineer

EXL

Data Engineer building scalable GCP pipelines for EXL’s analytics and reporting services. Developing BigQuery models, Airflow workflows, and reliable ETL/ELT data delivery.

Posted 8/13/2026full-timeJersey City • New Jersey • 🇺🇸 United StatesMid-LevelSenior💰 $80,000 - $95,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing data pipelines, with strong proficiency in Python, SQL, and BigQuery. Capable of implementing CI/CD practices and workflow orchestration using Airflow to ensure data quality and performance.

Highest-signal resume keywords

Data Pipeline DevelopmentETL/ELT ProcessesBigQuery ExpertiseApache Airflow Workflow OrchestrationCI/CD Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLData ModelingETL/ELT FrameworksPerformance TuningData ValidationMonitoringCloud StorageContainerizationDevOps Practices

Soft Skills

CollaborationProblem-Solving

Tools & Technologies

Google Cloud PlatformBigQueryApache AirflowGitJenkinsCloud Build

Industry Keywords

Data ScienceData AnalysisData IntegrityData QualityData Solutions

Tech Stack

Tools & technologies

AirflowApacheBigQueryCloudDockerETLGoogle Cloud PlatformJenkinsPythonSQL

About the role

Key responsibilities & impact

Design, develop, and maintain scalable and reliable data pipelines
Build and optimize ETL/ELT processes to ingest data from multiple sources
Develop and manage data models in BigQuery to support analytics and reporting
Implement automated workflows and scheduling using Airflow
Ensure data quality, integrity, and performance across pipelines
Collaborate with cross-functional teams to gather requirements and deliver data solutions
Apply CI/CD best practices to support efficient and reliable deployments
Troubleshoot and resolve data pipeline and performance issues

Requirements

What you’ll need

Graduate in Data Science, Computer Science, Statistics, or a related field
3–4 years of experience in data science or data analysis
Strong programming experience in Python and SQL
Hands-on experience with Google Cloud Platform (GCP) services
Expertise in BigQuery for data warehousing, performance tuning, and cost optimization
Experience with ETL/ELT frameworks and large-scale data pipeline development
Workflow orchestration using Apache Airflow
CI/CD implementation for data pipelines using Git, Jenkins, or Cloud Build
Solid understanding of data modeling, partitioning, and schema design
Experience with cloud storage, data validation, and monitoring
Knowledge of containerization (Docker) and basic DevOps practices is a plus

Benefits

Comp & perks

Bonus
Benefits
Further benefits information available at https://www.exlservice.com/us-careers-and-benefits