Overview
On Site
USD 125,000.00 - 145,000.00 per year
Full Time
Skills
Decision-making
Reporting
Process Flow
SQL
Microsoft Power BI
Financial Services
Google Cloud
Google Cloud Platform
Amazon Web Services
Microsoft Azure
Python
Information Systems
Security Clearance
Law
Job Details
Piper Companies is seeking a Data Engineer highly skilled with collecting, processing, and analyzing data to uncover insights and support informed decision-making within an organization. The ideal Data Engineer will be hybrid 3 days a week (Monday, Tuesday, Thursday) in Cary, NC .
Requirements for the Data Engineer include:
Identify improvement opportunities by collaborating with business leaders and users.
Lead discussions with cross-functional teams to understand reporting needs and pain points.
Design and optimize complex data pipelines for data ingestion, transformation and analysis.
Work with analysts and associates to process and analyze information.
Create process flows for business procedures and evaluate potential system enhancements.
Qualifications for the Data Engineer include:
5+ years of experience working hands on with SQL and Power BI.
2+ years of experience in the financial services field
Advanced understanding of Google Cloud Platform, AWS or Azure.
Strong understanding Python
Ability to work with multiple projects at once
Communicate and document requirements from business stakeholders and technical leaders
Bachelors degree in computer information systems or related field, Masters preferred.
Must be able to hold a security clearance in the US
Compensation for the Data Engineer includes:
Salary range: $125,000 - $145,000
Comprehensive benefit package; Medical, Dental, Vision, 401k match plus PTO, Sick leave as required by law, and Paid Holidays
Requirements for the Data Engineer include:
Identify improvement opportunities by collaborating with business leaders and users.
Lead discussions with cross-functional teams to understand reporting needs and pain points.
Design and optimize complex data pipelines for data ingestion, transformation and analysis.
Work with analysts and associates to process and analyze information.
Create process flows for business procedures and evaluate potential system enhancements.
Qualifications for the Data Engineer include:
5+ years of experience working hands on with SQL and Power BI.
2+ years of experience in the financial services field
Advanced understanding of Google Cloud Platform, AWS or Azure.
Strong understanding Python
Ability to work with multiple projects at once
Communicate and document requirements from business stakeholders and technical leaders
Bachelors degree in computer information systems or related field, Masters preferred.
Must be able to hold a security clearance in the US
Compensation for the Data Engineer includes:
Salary range: $125,000 - $145,000
Comprehensive benefit package; Medical, Dental, Vision, 401k match plus PTO, Sick leave as required by law, and Paid Holidays
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.