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Principal Data Engineer - Remote

Remote / Online - Candidates ideally in
Eagan, Dakota County, Minnesota, USA
Listing for: Genesis10
Full Time, Remote/Work from Home position
Listed on 2026-08-04
Job specializations:
  • Software Development
    Data Engineering, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 120 - 150 USD Hourly USD 120.00 150.00 HOUR
Job Description & How to Apply Below
Genesis
10 is currently seeking a Principal Data Engineer - Remote for a contract position with a Leading Pharmacy Benefit Manager located in MN. This is a long-term contract opportunity. Compensation: W2: $110.00 – 130.00 per hour IC/C2C: $120.00 – 150.00 per hour

Position Overview:

Join a highly collaborative engineering team that is building next-generation cloud data platforms while embracing modern AI-assisted development. You'll work alongside exceptionally talented engineers who are solving complex, large-scale data challenges and helping shape the future of data engineering within the organization. We're looking for a technically exceptional engineer who combines deep hands-on expertise with the executive presence to influence technical direction, mentor peers, and build trust across engineering and business teams.

The ideal candidate is equally comfortable architecting complex solutions, writing production code, and helping others succeed through thoughtful communication and leadership.

Key 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 Big Query 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, Dev Ops, CI/CD, and modern engineering practices Translate complex business requirements into scalable technical solutions Participate in technical design discussions, architecture reviews, and code reviews Primary 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 Big Query, Google Cloud Storage, Cloud Composer, Dataflow, Dataplex, and Apache Beam Strong programming experience with Python and SQL Java experience preferred but not required Demonstrated interest in and practical use of modern AI-assisted software development tools (e.g., Git Hub Copilot, Claude, ChatGPT, Vertex AI, or similar) through professional or personal projects, with a mindset of continuously exploring emerging technologies.

Hands-on experience developing orchestration workflows using Apache Airflow and/or Cloud Composer Direct experience building production data pipelines using Apache Kafka (required)

Experience with CI/CD, Git Hub, and modern Dev Ops 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 Desired

Skills:

Master's Degree in Computer Science, Engineering, Data Science, Statistics, or related field Google Cloud Platform certifications Demonstrated interest in and practical use of modern AI-assisted software development tools (e.g., Git Hub Copilot, Claude, ChatGPT, Vertex AI, or similar) through professional or personal projects, with a mindset of continuously exploring emerging technologies. Side projects or professional experience leveraging AI to improve engineering productivity

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 Previous healthcare, PBM, or financial services experience 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 If you meet the qualifications described and are interested in this exciting opportunity, apply today!

About Genesis
10:
Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis
10 puts thousands of consultants and employees to work across the United States every year in contract,…
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