Staff Data Engineer ( Chicago or Boston )

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.

Our Mission:

To elevate the human experiences at the heart of business by offering insights that sharpen understanding of the needs of individuals and populations, and provide guidance on how to meet those needs.

We partner clients to gather the voice of consumers and the workforce to gain insights that address unmet needs. Through the use of integrated data, advanced analytics and strategic advisory services, we are helping clients transform their organizations to deliver high quality services and lifetime loyalty. 

Our Values:

Champion the Client

We demonstrate an unwavering passion for delivering high-quality solutions and service. We commit to understanding the goals and needs of our clients. We always look for opportunities to improve and create value. Each of us understands our role in enabling client success.

All Together Better

We are united by the common purpose of our vision and mission. We promote teamwork and a culture of belonging by building strong relationships and fostering trust. We collaborate to identify and develop innovative solutions.

Embrace Change

We recognize that change is constant and presents opportunities to learn, adapt, and evolve. We seek creative solutions to challenges and e pursue them with optimism and enthusiasm.

Do the Right Thing

We demonstrate commitment to all our stakeholders, including clients, staff, and partners. We take personal accountability for our responsibilities and actions. We do right by each other by acting with honesty and kindness. We provide meaningful recognition and feedback to others.

Job Description

We are seeking an experienced Staff Data Engineer to join our team. The ideal candidate will be responsible for designing, developing, and maintaining our company's data infrastructure, which includes data warehouses, data pipelines, and data integration platforms. The Staff Data Engineer works directly with the data science, analytics, and data quality teams to ensure that the data infrastructure supports the company's business objectives. 

Duties & Responsibilities:

• Design, develop, and maintain our data infrastructure, which includes data warehouses, data pipelines, and data integration platforms. 
• Work with the data science, analytics, and data quality teams to ensure that the data infrastructure supports the company's business objectives. 
• Develop and maintain ETL pipelines and data integration workflows. 
• Optimize and fine-tune data structures and queries to ensure high performance and scalability. 
• Develop and maintain data quality and data governance processes. 
• Collaborate with cross-functional teams to define and implement data models that support business requirements and new analytic models and algorithms. 
• Ensure that data is collected, stored, and processed in compliance with data privacy regulations. 
• Develop and maintain documentation for all data-related processes and systems. 
• Stay up-to-date with emerging trends and technologies in the data engineering field. 

Qualifications

Technical Skills:

• Expertise in SQL and NoSQL databases, data warehousing, and data modeling.
• Fluency in Python and SQL. Additional data or system languages (e.g. Java, Scala, Go, R) a plus.
• Experience with data warehousing technologies such as Google BigQuery, Delta Lake, Amazon Redshift or Snowflake.
• Experience using data pipeline frameworks such as Apache Beam or Apache Spark at scale.
• Experience with data orchestration / automation frameworks such as Airflow, Databricks and MLFlow.
• Experience with data modeling and data governance best practices.
• Experience with data visualization tools such as Tableau or Power BI.

Minimum Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 
• 5+ years experience in data engineering, with a track record of designing, developing, and maintaining large-scale data infrastructure.
• Strong analytical and problem-solving skills. 
• Excellent communication and collaboration skills.

Preferred Qualifications:

• Master’s degree in Computer Science, Engineering, or a related field. 
• Experience in machine learning or data science.

Additional Information

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 $140,000 to $160,000. 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.

All your information will be kept confidential according to EEO guidelines.

Our privacy policy can be found here: https://www.pressganey.com/legal-privacy/