Developer Data Warehousing and Infrastructure - Jefferson Institutional Advancement

Jefferson Health System

• $90K — $110K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor’s Degree in Business, Computer Science, Finance, Information Systems or related field.
  • 3 years experience in data engineering or warehousing.
  • Strong SQL skills and experience with Extract, Transform, Load (ETL) tools.
  • Understanding of star schemas, snowflake schemas, and dimensional modeling for analytics.
  • Exposure to cloud platforms.
  • Strong attention to detail and troubleshooting skills.
  • Understanding of data governance and security practices.

Responsibilities

  • Design, develop, and maintain ETL/ELT workflows.
  • Build and optimize data models for reporting and analytics.
  • Ensure data accuracy, consistency, and performance across systems.
  • Collaborate with business analysts and data scientists to deliver data solutions.
  • Participate in code reviews and enforce best practices.
  • Monitor system health, performance, capacity, and availability using cloud-native tools.
  • Help implement scripts and automation for routine tasks.

Benefits

  • Comprehensive medical (including prescription), dental, and vision plans.
  • Life and AD&D insurance, along with short- and long-term disability.
  • Flexible spending accounts and retirement plans.
  • Tuition assistance and discounts at Thomas Jefferson University after service time.
  • Voluntary benefits providing access to group rates on insurance and discounts.
Full Job Description

Number of Positions In Requisition

1

Job Details

This position designs, builds, and optimizes data warehousing solutions to support analytics and business intelligence. They develop and maintain ETL workflows, ensuring data accuracy, consistency, and performance across systems. This role involves collaborating with stakeholders to translate requirements into scalable technical solutions that improve accessibility and reporting. Developers also evaluate and implement tools and technologies to strengthen infrastructure reliability and efficiency

Job Description


Summary
This position designs, builds, and optimizes data warehousing solutions to support analytics and business intelligence. They develop and maintain ETL workflows, ensuring data accuracy, consistency, and performance across systems. This role involves collaborating with stakeholders to translate requirements into scalable technical solutions that improve accessibility and reporting. Developers also evaluate and implement tools and technologies to strengthen infrastructure reliability and efficiency

Essential Functions:

  • Design, develop, and maintain ETL/ELT workflows.
  • Build and optimize data models for reporting and analytics.
  • Ensure data accuracy, consistency, and performance across systems.
  • Collaborate with business analysts and data scientists to deliver data solutions.
  • Participate in code reviews and enforce best practices.
  • Monitor system health, performance, capacity, and availability using cloud-native tools.
  • Help implement scripts and automation for routine tasks.
  • Assist with basic troubleshooting of cloud-hosted applications and services.
  • Assist data engineers and analysts by ensuring stable environments and reliable data operations.
  • Monitor data pipelines and scheduled jobs for failures or performance issues.

Additional functions:

  • ETL Tools: Experience with platforms such as Microsoft SSIS, Salesforce Sales Cloud (DB Amp or MuleSoft preferred) and Salesforce Data Cloud 360 (Preferred)
  • Understanding of Microsoft Fabric
  • Proficiency in programming languages and API development (Java, C#, Python, JavaScript; REST/gRPC) with strong understanding of architectural patterns and system design to support Data Science initatives


Minimum Qualifications

  • Bachelor’s Degree Business, Computer Science, Finance, Information Systems or related field.
  • 3 years experience in data engineering or warehousing.
  • Strong SQL skills and experience with Extract, Transform, Load (ETL) tools.
  • Understanding of star schemas, snowflake schemas, and dimensional modeling for analytics.
  • Exposure to cloud platforms.
  • Strong attention to detail and ability to follow structured processes. Strong troubleshooting and analytical skills.
  • Understanding of data governance and security practices.


Physical Demands
Lift and carry 25 lbs. frequent sitting/standing, frequent keyboard use, *patient care providers may be required to perform activities specific to their role including kneeling, bending, squatting and performing CPR.

Job Description Disclaimer: This position description provides the major duties/responsibilities, requirements and working conditions for the position. It is intended to be an accurate reflection of the current position, however management reserves the right to revise or change as necessary to meet organizational needs. Other responsibilities may be assigned when circumstances require.

Work Shift

Workday Day (United States of America)

Worker Sub Type

Regular

Employee Entity

Thomas Jefferson University

Primary Location Address

1101 Market, Philadelphia, Pennsylvania, United States of America

Benefits

Jefferson offers a comprehensive package of benefits for full-time and part-time colleagues, including medical (including prescription), supplemental insurance, dental, vision, life and AD&D insurance, short- and long-term disability, flexible spending accounts, retirement plans, tuition assistance, as well as voluntary benefits, which provide colleagues with access to group rates on insurance and discounts. Colleagues have access to tuition discounts at Thomas Jefferson University after one year of full time service or two years of part time service. All colleagues, including those who work less than part-time (including per diem colleagues, adjunct faculty, and Jeff Temps), have access to medical (including prescription) insurance.

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