Senior Data Engineer ( Chicago or Boston )

Press Ganey

Chicago, IL

Full Time

Senior

140k-160k

6 days ago

Job Description

About the Role

PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries—a status earned through decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. The company serves clients worldwide across various industries, focusing on improving human experiences through a combination of technology, data, and expertise. Their culture emphasizes collaboration, continuous learning, innovation, and putting human experience at the center of their work. They value their employees' talent, work ethic, and passion, fostering a path of learning and collective success.

Key Responsibilities

Design, develop, and maintain the company's data infrastructure, including data warehouses, data pipelines, and data integration platforms.
Work with data science, analytics, and data quality teams to ensure the data infrastructure supports business objectives.
Develop and maintain ETL pipelines and data integration workflows.
Optimize and fine-tune data structures and queries for high performance and scalability.
Develop and maintain data quality and data governance processes.
Collaborate with cross-functional teams to define and implement data models supporting business requirements and analytic models.
Ensure data collection, storage, and processing comply 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 data engineering.

Requirements

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

Nice to Have

Experience in machine learning or data science.
Additional data or system languages such as Java, Scala, Go, or R.

Qualifications

Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
5+ years of experience in data engineering.

Benefits & Perks

Competitive salary ranging from $140,000 to $160,000, based on skills and experience.
Discretionary bonus or commission tied to results.
Comprehensive benefits package.
Confidentiality and equal employment opportunity policies.

Working at Press Ganey

Our culture emphasizes collaboration, continuous learning, innovation, and collective success. We value our employees' talent, work ethic, and passion, fostering an environment where team efforts drive corporate success and personal growth.

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