Principal Data Engineer - Hybrid

Genesis
10 is currently seeking a Principal Data Engineer - Hybrid position with a Regional Health Insurance Provider located in Eagan, MN. This is a 6+ month contract-to-hire opportunity. Compensation: $95.60 - $105.60 per hour, W2, based on qualifications

Position Overview:

As the Principal Data Engineer, you will serve as the most senior technical contributor on the Data Platform Engineering team. This role is responsible for providing technical leadership, influencing architecture and engineering standards, and designing scalable data solutions that support analytics, automation, and future AI initiatives. You will partner with architects and engineering teams to design modern cloud-based data platforms and solve complex technical challenges in a hands-on capacity.

Key Responsibilities:

Provide technical leadership and architectural guidance for enterprise data engineering initiatives Establish engineering standards, design patterns, and best practices across the data engineering organization Mentor and coach data engineers through technical guidance, design reviews, and code reviews Design, develop, and implement scalable cloud-based data engineering solutions Build and optimize data pipelines supporting ingestion, transformation, orchestration, and delivery Partner with Product Owners and business stakeholders to translate business requirements into scalable technical solutions Serve as the technical escalation point for complex production issues and data engineering challenges Drive continuous improvement of engineering processes, tooling, and development standards Primary Requirements: 8+ years of professional data engineering experience designing and delivering enterprise-scale data solutions Healthcare or health insurance industry experience Expert-level Python and SQL with extensive experience building scalable ETL/ELT pipelines Strong cloud data engineering experience using AWS or equivalent enterprise cloud platforms (Azure or GCP) Experience processing large datasets using Spark, PySpark, Spark SQL, or similar distributed processing technologies Proven ability to design end-to-end data engineering solutions including ingestion, transformation, orchestration, automation, and data quality Strong understanding of cloud-native data architectures and modern data engineering best practices Demonstrated experience influencing technical direction, architecture decisions, and engineering standards Experience mentoring engineers and leading technical discussions across teams Excellent communication skills with both technical and non-technical stakeholders Ability to work independently while driving complex technical initiatives Desired

Skills:

Hands-on Databricks experience including notebooks, workflows, and cluster management

Experience with AWS services including S3, Lambda, Glue, Step Functions, SQS, IAM, and Cloud Watch

Experience with AI-enabled data platforms, automation, or machine learning data pipelines Infrastructure-as-Code experience using Terraform CI/CD pipeline experience using Git Lab or similar tools

Experience with streaming technologies such as Kafka, MSK, or Kinesis FHIR or healthcare interoperability experience AWS Solutions Architect or Data Engineer Certification Only candidates available and ready to work directly as Genesis
10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! 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, contract-for-hire, and permanent placement roles. With more than 300 active…