Senior Data Engineer

Overview

Remote
Compensation information provided in the description
Full Time

Skills

Shipping
Logistics
Data Flow
Reporting
Real-time
Streaming
Orchestration
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

Job Details

Piper Companies is seeking a Senior Data Engineer to join a leading shipping and logistics organization. The Senior Data Engineer will handle operational aspects of the data ecosystem, including monitoring, automation, and data flow.

Responsibilities of the Senior Data Engineer include:

  • Work with Azure Databricks to develop and deploy solutions for reporting and analytics.
  • Create real-time streaming pipelines.
  • Data movement and orchestration using Azure Data Factory.
  • Work with internal customers and partners to gather requirements, build, and deploy robust models.
  • Develop code to aggregate and transform data to ADLS curated zone.
  • Provide ongoing support of Databricks code.


Qualifications for the Senior Data Engineer include:

  • 7+ years of experience in data strategies, analysis, architecture, and management
  • Strong skills in Azure Data Factory, Databricks, SQL, Python (PySpark) and/or Scala
  • Experience in building ETL/data warehouse transformation processes
  • Hands-on experience with Azure Data Analytics platform (Azure Storage, Azure SQL Data Warehouse, Azure Data Lake, Azure Cosmos DB, Azure Stream Analytics)
  • Experience with Apache Kafka and event-based data


Compensation for the Senior Data Engineer include:

  • Salary: $140,000 - $160,000 -- Hourly: $73/hr - $77/hr
  • Comprehensive Benefits: Medical, Dental, Vision, 401K, PTO, Sick Leave as required by law, and Holidays


This job opens for applications on April 21, 2025 . Applications for this job will be accepted for at least 30 days from the posting date.

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