Sr. PySpark Engineer

Role: Principal/ Sr. PySpark Engineer Duration: 6 Months Contract to Hire Mostly Remote with couple of days onsite in a month Job Summary: We are seeking a Principle Software/Data Engineer (PySpark) with experience on Cloud and Distributed Compute environments (Data Heavy) NOT a data scientist position. This role blends principal software engineering with data engineering, particularly in a regulated (GxP) environment. They’re not doing exploratory analysis or modeling — they’re building the infrastructure, pipelines, and systems that support data workflows at scale, reliably and compliantly. Candidate needs to have experience with following:- Must have actual coding experience in PySpark and AWS Prior team leadership or mentorship experience GxP or regulated industry experience Skillsets - Strong hands on S/w development and data engineering experience on Cloud / Distributed Compute environments preferably using PySpark, AWS, Airflow , Jupyterhub stack Experience: 10 + years of experience with software development/ data engineering. Coding experience with Pyspark for data processing and analysis Write complex SQL queries to extract and manipulate data Implement ETL processes using tools like Informatica Collaborate with cross-functional teams to optimize data warehouse architecture Utilize Python and Spark for data processing and analysis Strong hands on S/w development and data engineering experience on Cloud / Distributed Compute environments preferably using PySpark, AWS, Airflow , Jupyterhub stack. Experience in leading technical development teams and successfully delivering releases in GXP ecosystems . Ability to review code and architecture and generate data models . If you are a seasoned engineer looking to make a significant impact through innovative data solutions, we encourage you to apply for this exciting opportunity. Job Type: Contract Pay: $75.00 - $100.00 per hour Expected hours: 40 per week Schedule: Monday to Friday People with a criminal record are encouraged to apply Experience: PySpark coding: 5 years (Required) Data Engineering: 10 years (Required) Pharmaceutical: 2 years (Required) Ability to Commute: Remote (Required) Willingness to travel: 25% (Required) Work Location: Remote