Overview
Remote
USD 160,000.00 - 165,000.00 per year
Full Time
Skills
Shipping
Logistics
Reporting
Real-time
Streaming
Orchestration
Data Management
Database Architecture
Management
Databricks
SQL
Python
PySpark
Scala
Extract
Transform
Load
Data Analysis
Storage
SQL Azure
Data Warehouse
Data Lake
Cosmos-Db
Microsoft Azure
Analytics
Apache Kafka
Data Processing
Computer Science
Law
Job Details
Piper Companies is seeking a Senior Data Engineer, to join a leading shipping and logistics organization. The Senior Data Engineer will be responsible for building robust & scalable code to transform and deliver data for reporting & analytics.
Responsibilities of the Senior Data Engineer include:
Qualifications for the Senior Data Engineer include:
Compensation for the Senior Data Engineer include:
This job opens for applications on May 14, 2025. Applications for this job will be accepted for at least 30 days from the posting date.
#LI-JT2 #LI-REMOTE
Responsibilities of the Senior Data Engineer include:
- Utilize advanced knowledge of Azure Databricks to design, develop, and deploy solutions for reporting and analytics.
- Construct real-time streaming pipelines using tools like Streamsets and Qlik.
- Manage data movement and orchestration through Azure Data Factory.
- Partner with internal customers and stakeholders to gather requirements, build robust models, and deploy solutions.
- Create and maintain data management frameworks to properly tag and manage curated data assets.
Qualifications for the Senior Data Engineer include:
- 10+ years of experience in data strategies, data analysis, database architecture and management, development, or administration.
- Strong skills in Azure Data Factory, Databricks, SQL, Python (PySpark), and/or Scala.
- Proven experience in building ETL processes and data warehouse transformation processes.
- Hands-on experience designing and delivering solutions using the Azure Data Analytics platform, including Azure Storage, Azure SQL Data Warehouse, Azure Data Lake, Azure Cosmos DB, and Azure Stream Analytics.
- Experience with Apache Kafka and event-based data processing.
- Bachelor's degree in Computer Science
Compensation for the Senior Data Engineer include:
- Salary: $160,000 - $165,000
- Comprehensive Benefits: Medical, Dental, Vision, 401K, PTO, Sick Leave as required by law, and Holidays
This job opens for applications on May 14, 2025. Applications for this job will be accepted for at least 30 days from the posting date.
#LI-JT2 #LI-REMOTE
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.