Data Engineer

Jobtailor; Jersey City (NJ); On-site; USD 110,000 - 150,000; Full time

Job summary

Jobtailor in Jersey City, NJ is seeking a data engineer to design, build, and maintain scalable data pipelines that ingest data from multiple sources using Python, SQL, Airflow, and BigQuery. You will optimize ETL/ELT processes, implement automated workflows, ensure data quality, and collaborate with cross‑functional teams.

The role emphasizes CI/CD practices and deployments on Google Cloud Platform to support analytics and reporting.

Qualifications

• 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.

Responsibilities

• 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

Skills

Python

SQL

Data Pipeline Development

ETL/ELT Processes

BigQuery Expertise

Apache Airflow Workflow Orchestration

CI/CD Implementation

Data Modeling

Performance Tuning

Data Validation

Monitoring

Cloud Storage

Containerization

DevOps Practices

Collaboration

Problem-Solving

Education

Bachelor's degree in Data Science, Computer Science, Statistics, or related field

Tools

Google Cloud Platform

BigQuery

Apache Airflow

Git

Jenkins

Cloud Build

Docker

Job description

• • 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

• 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

Core Competencies

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 Development
• ETL/ELT Processes
• BigQuery Expertise
• Apache Airflow Workflow Orchestration
• CI/CD Implementation

ATS Optimization Keywords

Hard Skills

• Python
• SQL
• Data Modeling
• ETL/ELT Frameworks
• Performance Tuning
• Data Validation
• Monitoring
• Cloud Storage
• Containerization
• DevOps Practices

Soft Skills

• Collaboration
• Problem-Solving

Industry Keywords

• Data Science
• Data Analysis
• Data Integrity
• Data Quality
• Data Solutions

Tools & Technologies

• Google Cloud Platform
• BigQuery
• Apache Airflow
• Git
• Jenkins
• Cloud Build