Press Ganey , the leading Human Experience (HX) healthcare performance improvement company, offers an integrated suite of solutions that address safety, clinical excellence, patient experience and workforce engagement. The company works with more than 41,000 healthcare facilities in its mission to reduce patient suffering and enhance caregiver resilience to improve the overall safety, quality, and experience of care. Press Ganey is a PG Forsta company.

Position Description:

We are seeking an experienced Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining our data architecture, infrastructure, and systems. The Data Engineer will work with data analysts, data scientists, and other stakeholders to ensure that data is efficiently collected, processed, and stored in a reliable and scalable way. 

Duties & Responsibilities:

·   Develop, implement and maintain scalable data pipelines and workflows that process large volumes of data efficiently and accurately.

·   Collaborate with data analysts and scientists to design and implement data models that support business intelligence and analytics needs.

·   Design, build and maintain data warehouses, data lakes, and other data storage and retrieval systems.

·   Ensure data quality, reliability, and security by implementing appropriate data governance practices and monitoring systems.

·   Develop and maintain automated testing, monitoring, and validation processes to ensure data accuracy and integrity.

·   Continuously evaluate and recommend new data technologies and tools that can enhance our data infrastructure and architecture.

·   Work with cross-functional teams to understand their data needs and provide solutions that meet their requirements.

Technical Skills:

·   Direct experience with at least one relational and one non-relational database technology.

·   Expertise in ETL/ELT processes, data modeling and schema design.

·   Experience with data automation tooling (e.g. Airflow, Databricks Workflows, MLFlow, etc.)

·   Fluency in Python and SQL. Proficiency in Apache Spark. Comfortable on the Linux command line. Additional data or system languages (e.g. Java, Scala, Go, R) a plus.

·   Hands on experience with one or more of the major cloud providers (GCP, AWS, Azure). Familiarity with infrastructure-as-code (e.g. Cloud Formation, Terraform) a plus.

·  Familiarity with data visualization tools such as Tableau, Power BI, or Looker 

Minimum Qualifications:

·   Bachelor's or Master's degree in Computer Science, Information Technology, or a related field

·   Minimum of 3 years of experience in data engineering or a related field

·   Strong problem-solving skills and ability to work in a fast-paced environment 

All positions at Press Ganey require an applicant who has accepted an offer to undergo a background check. The specific checks are based on the nature of the position. Background checks may include some or all of the following: SSN/SIN validation, education verification, employment verification, and criminal check, search against global sanctions and government watch lists, fingerprint verification, credit check, and/or drug test. By applying for a position with Press Ganey, you understand that you will be required to undergo a background check should you be made an offer. You also understand that the offer is contingent upon successful completion of the background check and results consistent with Press Ganey's employment policies. You will be notified during the hiring process which checks are required for the position. 

Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state or local protected class. 

Pay Transparency Non-Discrimination Notice – Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 

The expected base salary for this position ranges from $80,000 - $120,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.

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