Sr. Data Engineer

  • Oldwick, NJ
  • Posted 4 days ago | Updated 6 hours ago

Overview

On Site
USD 140,000.00 - 150,000.00 per year
Full Time

Skills

Workflow
Leadership
Conflict Resolution
Problem Solving
Data Integration
Meta-data Management
Software Engineering
Testing
Continuous Integration and Development
Data Governance
Regulatory Compliance
Data Integrity
Query Optimization
Code Refactoring
Databricks
Systems Architecture
Scalability
Data Quality
Documentation
Data Architecture
IT Management
Innovation
Process Optimization
Operational Efficiency
Database
Programming Languages
Python
Scala
Java
Rust
Oracle
Extract
Transform
Load
Apache Spark
API
GraphQL
Data Warehouse
NoSQL
Database Design
MongoDB
Message Broker
RabbitMQ
Apache Kafka
Cloud Computing
Microsoft Azure
Amazon Web Services
Continuous Integration
Continuous Delivery
Jenkins
Ansible
Docker
Kubernetes
Analytics
Finance
Accounting
Marketing
Legal
Customer Support
Online Training
Artificial Intelligence
Insurance
.NET

Job Details

Description

We are looking for an experienced Senior Data Engineer to join our team. This role involves designing and implementing scalable data solutions, optimizing data workflows, and driving innovation in data architecture. The ideal candidate will possess strong leadership qualities and a passion for problem-solving in a fast-paced, cutting-edge environment.

Responsibilities:

Develop high-performance data systems, including databases, APIs, and data integration pipelines, to support scalable solutions.

Design and implement metadata-driven architectures and automate deployment processes using infrastructure-as-code principles.

Promote best practices in software engineering, such as code reviews, testing, and continuous integration/delivery (CI/CD).

Establish and maintain a robust data governance framework to ensure compliance and data integrity.

Monitor processes and implement improvements, including query optimization, code refactoring, and efficiency enhancements.

Leverage cloud platforms, particularly Azure and Databricks, to improve system architecture and scalability.

Conduct data quality checks and build procedures to address and resolve data issues effectively.

Create and maintain documentation for data architecture, standards, and best practices.

Provide technical leadership to the team, guiding design discussions and fostering innovation in data infrastructure.

Identify and implement opportunities for process optimization and automation to improve operational efficiency.

Requirements

Minimum of 7 years of experience in roles such as Data Engineer, Data Architect, or Database Developer.
Proficiency in programming languages like Python, Scala, Java, or Rust, with hands-on experience.
Extensive experience in Oracle database design, development, and data pipeline creation using tools like Apache Spark and Airflow.
Expertise in API development, including REST and GraphQL, and data warehouse design using methodologies like Kimball or Inmon.
Knowledge in NoSQL database design, preferably with MongoDB, and experience with message broker platforms such as RabbitMQ or Kafka.
Strong familiarity with cloud-native technologies and services, particularly Azure and AWS.
Working knowledge of CI/CD tools like Jenkins or Ansible and containerization platforms such as Docker or Kubernetes.
Demonstrated ability to solve complex problems, innovate, and deliver results in data and analytics projects.

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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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