Senior Data Engineer at Press Ganey
South Bend, Indiana, USA -
Full Time


Start Date

Immediate

Expiry Date

22 Jun, 25

Salary

172000.0

Posted On

23 Mar, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Computer Science, Tuning, Information Systems, Creativity, Postgresql, Learning, Writing, Technology, Color, Sql Server, Data Modeling, Relational Databases, Analytical Solutions

Industry

Information Technology/IT

Description

COMPANY DESCRIPTION

PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries—a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare –perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.
Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world’s most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.

QUALIFICATIONS/REQUIREMENTS:

Minimum Requirements: Master’s degree in Computer Science, Information Systems, Technology or related field and 3 years of data engineering experience in an enterprise environment including 3 years’ experience with: writing, tuning, troubleshooting complex SQL queries, Python code, and C#; Azure Databricks and Delta Lake using Data Factory, Azure SQL databases, and on-premises Microsoft tools (SQL Server DB and SSIS); and analytical solutions and data modeling in relational databases such as MS SQL Server, PostgreSQL and Azure SQL DB. Employer will also accept a bachelor’s degree in Computer Science, Information Systems, Technology or related field and 5 years of data engineering experience in an enterprise environment in lieu of a master’s degree and 3 years of experience.
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Responsibilities
  • Evolve and mature our enterprise data strategy and capabilities.
  • Create data driven solutions to meet software and data science requirements for various PG Healthcare Products.
  • Identify, evaluate, select, and prove out new technologies and toolsets.
  • Create and execute proofs of concept and proofs of technology.
  • Lead and direct work of others in data dependent projects.
  • Design, develop, implement and support multiple Azure and on premises data marts.
  • Collaborate with software development, business teams and other engineering teams on data architecture and design to establish solution requirements and design platform solutions that address current and future needs.
  • Identify and plan for future roadmap enhancements that evolve as business needs evolve.
  • Create solutions that adhere to security, retention, and availability policies for critical, sensitive healthcare data.
  • Collaborate with software development and business teams on application interface and data storage implementation to create platform solutions for real-time and batch data ingress and delivery.
  • Identify impact of solutions on other applications and databases.
  • Adhere to and enhance development standards/methodologies.
  • Mentor and train Data Engineers on standards and best practices and provide targeted training and exploration for team members.
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