Principal PySpark Engineer – AWS/GxP

BigRio; Boston (MA); Remote; USD 130,000 - 180,000; Full time

Job summary

BigRio is seeking a Principal PySpark Engineer to join their remote team, focusing on building distributed data pipelines in a GxP-compliant environment. The ideal candidate will have deep expertise in Apache Spark and AWS, and a strong proficiency in Python. This contract role requires collaboration with cross-functional teams to deliver high-quality data solutions while ensuring compliance and performance optimization.

Qualifications

• 8-10 years of experience in software or data engineering focusing on distributed systems.
• Deep hands-on experience with Apache Spark, PySpark, and AWS.
• Experience with designing and developing data pipelines, not in a DevOps role.

Responsibilities

• Design, develop, and maintain distributed ETL data pipelines using PySpark on AWS.
• Work within a GxP-compliant environment, ensuring data integrity and regulatory alignment.
• Write efficient PySpark code for large-scale data processing.

Skills

Python

Apache Spark

PySpark

GxP compliance

Job description

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Sr. Director, Talent Acquisition and HR at BigR.io

Job Title: Principal PySpark Engineer – AWS/GxP- Pharma

Location: Remote- New England

5 Days a month in the Office

Duration: 6 Months Contract

About BigRio:

BigRio is a remote-based, technology consulting firm with headquarters in Boston, MA. We deliver software solutions ranging from custom development and software implementation to data analytics and machine learning/AI integrations. As a one-stop shop, we attract clients from a variety of industries due to our proven ability to deliver cutting-edge, cost-effective software solutions.

Job Overview:

We are seeking Principal PySpark Engineers with strong hands-on experience in building distributed data pipelines using Apache Spark on AWS in the Pharma space. The ideal candidate is proficient in Python and has a solid understanding of GxP-compliant environments. This is a coding-heavy role — not DevOps or AWS administration — where you’ll contribute directly to the architecture and development of robust data solutions in a highly regulated, cloud-native environment.

Key Responsibilities:

• Design, develop, and maintain distributed ETL data pipelines using PySpark on AWS
• Work within a GxP-compliant environment, ensuring data integrity and regulatory alignment
• Write clean, scalable, and efficient PySpark code for large-scale data processing
• Proven ability to do PySpark Code reviews for the team
• Utilize AWS cloud services for pipeline orchestration, compute, and storage
• Collaborate closely with cross-functional teams to deliver end-to-end data solutions
• Participate in code reviews, testing, and deployment of pipeline components
• Ensure performance optimization, fault tolerance, and scalability of data workflows

Required Qualifications:

• Hands-on experience with writing clean, scalable, and efficient PySpark code for large-scale data processing
• Recent Hands-on Experience is a Must.
• 8–10 years of experience in software or data engineering with a focus on distributed systems
• Deep hands-on experience with Apache Spark, PySpark, and AWS
• You'll need experience with PySpark code reviews.
• Strong programming skills in Python
• Solid understanding of cloud-native architectures
• Familiarity with GxP compliance and working in regulated data environments
• Proven ability to independently design and develop data pipelines (not a DevOps/AWS admin role)
• Experience with distributed computing and high-volume ETL pipelines

Equal Opportunity Statement:

BigRio is an equal-opportunity employer. We prohibit discrimination and harassment of any kind based on race, religion, national origin, sex, sexual orientation, gender identity, age, pregnancy, status as a qualified individual with disability, protected veteran status, or other protected characteristic as outlined by federal, state, or local laws. BigRio makes hiring decisions based solely on qualifications, merit, and business needs at the time. All qualified applicants will receive equal consideration for employment.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Industries

  Software Development

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