Principal Data Engineer - Remote

Genesis10 is currently seeking a Principal Data Engineer - Remote for a contract position with a Leading Pharmacy Benefit Manager located in MN. The role involves collaborating with a team to build cloud data platforms and providing technical leadership while mentoring engineers.

Responsibilities:

• Design, develop, and support scalable cloud-native data platforms and real-time data pipelines
• Build and maintain ETL/ELT and streaming data pipelines using Apache Beam, Apache Airflow, Google Cloud Dataflow, Google Cloud Composer, Python, Java, and SQL
• Develop and support enterprise streaming solutions using Apache Kafka
• Design and optimize cloud-based data storage solutions using Google BigQuery and Google Cloud Storage
• Ensure technology solutions meet resiliency, scalability, security, operational readiness, and performance requirements
• Provide technical leadership, mentorship, and guidance to 10 junior and mid-level engineers
• Lead by example through hands-on software development while helping establish engineering standards and best practices
• Partner closely with Product Owners, Architecture, Infrastructure, and Security teams to design scalable enterprise solutions
• Own technology roadmaps, production support, monitoring, alerting, platform health, and long-term sustainability
• Champion Agile software development, DevOps, CI/CD, and modern engineering practices
• Translate complex business requirements into scalable technical solutions
• Participate in technical design discussions, architecture reviews, and code reviews

Requirements:

• Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or related field, or equivalent experience
• High School Diploma or GED required
• 8+ years of experience in Data Engineering, Software Engineering, or Application Development
• Proven experience designing, building, and supporting enterprise cloud data platforms
• Recent, hands-on experience with Google Cloud Platform (GCP) including Google BigQuery, Google Cloud Storage, Cloud Composer, Dataflow, Dataplex, and Apache Beam
• Strong programming experience with Python and SQL
• Direct experience building production data pipelines using Apache Kafka
• Experience with CI/CD, GitHub, and modern DevOps practices
• Proven ability to mentor engineers, influence technical direction, and lead without direct authority
• Ability to balance hands-on development with technical leadership responsibilities
• Experience working in Agile software development environment
• Master's Degree in Computer Science, Engineering, Data Science, Statistics, or related field
• Google Cloud Platform certifications
• Side projects or professional experience leveraging AI to improve engineering productivity
• Previous healthcare, PBM or financial services experience a plus
• Experience with Google Dataplex and enterprise data governance
• Experience with Google Looker Studio and/or IBM Cognos
• Experience working within HIPAA, PCI, or other regulated environments
• Architecture and technical strategy experience
• Demonstrated 'lead-by-example' leadership style
• Strong mentoring, coaching, and cross-functional collaboration skills
• Executive presence with the ability to influence teams through communication, patience, and technical credibility