Data Engineer

  • Parsippany, NJ
  • Posted 3 days ago | Updated 8 hours ago

Overview

On Site
USD 120,000.00 - 150,000.00 per year
Full Time

Skills

Business Operations
Analytics
Data Integrity
Scalability
Pivotal
Amazon Redshift
Snow Flake Schema
Workflow
Data Quality
Collaboration
Restructuring
Data Governance
Documentation
Management
Real-time
Data Processing
Streaming
DevOps
Docker
Terraform
Continuous Integration
Continuous Delivery
Data Engineering
Programming Languages
Python
Scripting
Cloud Computing
Amazon Web Services
Google Cloud
Google Cloud Platform
Microsoft Azure
Data Modeling
Extract
Transform
Load
Conflict Resolution
Problem Solving
Apache Spark
Apache Hadoop
Apache Kafka
Business Intelligence
Tableau
Microsoft Power BI
Finance
Accounting
Marketing
Legal
Customer Support
Online Training
Artificial Intelligence
Insurance
.NET

Job Details

Description

We are looking for a skilled Data Engineer to design, develop, and maintain data systems that support critical business operations and analytics. This role requires collaboration with various teams to ensure data integrity, reliability, and scalability. You will play a pivotal role in optimizing data workflows and implementing robust solutions to meet organizational needs.

Responsibilities:
Develop and maintain scalable data pipelines to integrate information from various sources.
Create and manage data models, tables, and warehouses using platforms such as Redshift, BigQuery, or Snowflake.
Implement automated workflows and data quality checks to guarantee accurate and consistent datasets.
Collaborate with cross-functional teams to understand and address their data requirements.
Enhance query efficiency by applying techniques such as indexing, partitioning, and dataset restructuring.
Ensure adherence to best practices in data governance, security, and comprehensive documentation.
Troubleshoot and resolve issues related to data pipelines and infrastructure.
Incorporate tools like Airflow, dbt, or Kafka to streamline data processing and management.
Support real-time data processing and streaming initiatives.
Facilitate the integration of DevOps tools like Docker, Terraform, or CI/CD pipelines into data systems.

Requirements

A minimum of 3-7 years of experience in a Data Engineering role or equivalent.
Proficiency in programming languages such as Python or other scripting tools.
Demonstrated expertise in cloud-based data platforms such as AWS, Google Cloud, or Azure.
Solid understanding of ETL processes, data modeling, and distributed systems.
Familiarity with data pipeline tools like Airflow, dbt, or Kafka.
Strong problem-solving skills to address data issues and optimize performance.
Knowledge of Apache Spark, Hadoop, and Kafka.
Experience with BI tools like Tableau, Power BI, or Looker is a plus.

Technology Doesn't Change the World, People Do.

Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.

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All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.

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