Senior Data Engineer

Newark, NJ, US • Posted 7 hours ago • Updated 7 hours ago
Contract W2
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Health Insurance
  • Dimensional Modeling
  • Extract, Transform, Load
  • Git
  • IT Management
  • Data Quality
  • Data Warehouse
  • Database
  • Databricks
  • Docker
  • Continuous Integration
  • Data Engineering
  • Data Modeling
  • Data Processing
  • Cloud Computing
  • Collaboration
  • Communication
  • Continuous Delivery
  • Apache Spark
  • Artificial Intelligence
  • Business Intelligence
  • DevOps
  • Amazon Web Services
  • Apache Airflow
  • Apache HTTP Server
  • SQL Tuning
  • Microservices
  • Microsoft Azure
  • Python
  • Real-time
  • Retail
  • SQL
  • Apache Kafka
  • ELT
  • Machine Learning (ML)
  • Mentorship
  • PySpark
  • Banking
  • Snow Flake Schema
  • Stakeholder Management
  • Workflow
  • Streaming

Summary

Senior Data Engineer 

Job Title: Senior Data Engineer / Lead Data Engineer
Experience: 12+ Years
Employment Type: W2

Job Description:
We are seeking an experienced Senior Data Engineer with 12+ years of experience designing, developing, and maintaining scalable data platforms and enterprise data pipelines.

Required Skills:

  • 12+ years of experience in Data Engineering / ETL / Data Warehousing
  • Strong expertise in Python, SQL, PySpark, and Apache Spark
  • Hands-on experience with AWS / Azure / Google Cloud Platform
  • Strong experience with Databricks, Snowflake, or BigQuery
  • Expertise in ETL/ELT pipeline development
  • Experience with Apache Airflow / Azure Data Factory / AWS Glue
  • Strong knowledge of data modeling, dimensional modeling, and data architecture
  • Experience with Kafka / event-driven data pipelines
  • Strong SQL optimization and performance tuning
  • Experience with CI/CD, Git, Docker, and DevOps practices
  • Experience working with large-scale structured and unstructured datasets
  • Knowledge of REST APIs, microservices, and cloud-native architectures
  • Experience with data quality, governance, security, and monitoring
  • Strong communication and stakeholder-management skills

Preferred Skills:

  • Machine Learning / AI data pipelines
  • Generative AI / RAG / Vector databases
  • Terraform or CloudFormation
  • Kubernetes
  • Power BI / Tableau
  • Experience in Banking, Healthcare, Insurance, or Retail domains

Key Responsibilities:

  • Design and develop scalable data pipelines and data platforms.
  • Build and optimize batch and real-time data processing solutions.
  • Develop ETL/ELT workflows using Python, SQL, Spark, and cloud services.
  • Implement data ingestion from APIs, databases, files, and streaming sources.
  • Design data models and enterprise data warehouses/lakes.
  • Improve pipeline performance, reliability, and data quality.
  • Collaborate with architects, developers, analysts, and business stakeholders.
  • Mentor junior and mid-level data engineers and provide technical leadership.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10477291
  • Position Id: 9099251
  • Posted 7 hours ago
Contact the job poster
RC

Rahul Chourasia

Recruiter @ Raas Infotek LLC
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