Senior 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:

We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action. 

Our Values:

To put Human Experience at the heart of organizations so every person can be seen and understood. 

• Energize the customer relationship: Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions. 
• Success starts with me: Personal ownership fuels collective success. We each play our part and empower our teammates to do the same. 
• Commit to learning: Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow. 
• Dare to innovate: We challenge the status quo with creativity and innovation as our true north. 
• Better together: We check our egos at the door. We work together, so we win together. 

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.

Don’t meet every single requirement? Studies