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Data Developer

Wayne, Pennsylvania

Piper Companies Logo

Job Id:
154429

Job Category:

Job Location:
Wayne, Pennsylvania

Security Clearance:
No Clearance

Business Unit:
Piper Companies

Division:
Piper Enterprise Solutions

Position Owner:
Thomas Klusarits

Piper Companies is seeking a Data Developer to join a well-established financial services company. This is a hybrid role located in Wayne, PA and focuses on supporting and enhancing their enterprise data warehouse environment. This role combines hands-on development with data management.

 

Responsibilities of the Data Developer role include:

  • Perform data profiling, create source-to-target mappings, and develop ETL workflows using low-code tools and/or Python
  • Optimize SQL queries for performance and reliability
  • Participate in testing, deployment, and troubleshooting of data integration processes
  • Provide technical and business analysis for projects centered on data warehousing and BI solutions
  • Contribute to data warehouse design decisions, ensuring optimal structures for processing and reporting
  • Produce detailed technical specifications and maintain ETL documentation in partnership with architects and BI developers

 

Qualifications for the Data Developer role include:

  • Bachelor’s degree in Computer Science, IT, or related field
  • Minimum 3 years of experience in data-centric development roles
  • Strong knowledge in Python
  • Strong SQL skills and experience with relational databases (Snowflake experience is a plus)
  • Familiarity with Microsoft and Linux environments
  • Hands-on experience with integration patterns (e.g., flat files, APIs, web services)
  • Solid understanding of data modeling principles (ER diagrams, normalization)
  • Exposure to low-code ETL tools
  • Knowledge of data warehousing concepts (dimensional modeling, star schema)
  • Ability to write clear technical documentation

 

Compensation for the Data Developer role include:

  • $85,000-$110,000
  • Comprehensive benefits package
  • Hybrid work

 

Keywords: Insurance, Risk Management, Claims Processing, Customer Service, Policy Administration, Compliance Financial Services, Commercial Insurance, Data Analysis

 

#LI-TK1 #LI-HYBRID

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