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Senior Data Engineer
Senior Data EngineerGenesis10 • Rochester, MN
Senior Data Engineer

Senior Data Engineer

Genesis10 • Rochester, MN
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  • [job_card.permanent]
  • [job_card.temporary]
[job_card.job_description]

Genesis10 is currently seeking a Senior Data Engineer  for a 12-month contract role with our healthcare client in Rochester, MN. This role will be 100% remote.

Compensation : $65.00 - 75.00 per hour, depending on skill and experience level.

Role Summary

We are looking for an experienced contractor who is highly proficient in Python and has practical experience developing AI-powered systems. The preferred candidate should have worked with AI agents, Model Context Protocol (MCP), modern data management techniques, and cloud platforms to create scalable, production-ready solutions.

The experienced Infrastructure Engineer will design, automate, and operate scalable cloud infrastructure supporting data platforms and AI / ML workloads across GCP and Azure. This role focuses on Infrastructure such as Code, CI / CD automation, cloud networking, and enabling reliable, secure environments for data engineering and analytics teams

Implement data pipelines using best practices for ETL / ELT, data management, and data governance. Analyze and process complex data sources in a fast-paced environment. Perform data modeling against large data sets for peak efficiency. Identify, design, and implement process improvement solutions that automate manual processes and leverage standard frameworks and methodologies. Understand and incorporate data quality principles that ensure optimal reliability, impact, and user experience. Partner across teams to support cross-platform operations. Create and document functional and technical specifications. Drive exploration of new features, versions, and related technologies, and provide recommendations to enhance our offerings. Mentor junior engineers within the team

Core Responsibilities

  • Design, build, and maintain Python based services and automation workflows
  • Implement MCP for agent communication, control, and observability
  • Build, transform, and manage data pipelines supporting AI and analytics use cases
  • Deploy, monitor, and optimize solutions in cloud environments
  • Collaborate with product, data, and engineering teams to deliver end-to-end solutions
  • Ensure code quality, performance, security, and maintainability
  • Design, provision, and manage cloud infrastructure using Terraform
  • Build and maintain CI / CD pipelines using Azure DevOps
  • Provision and manage GCP infrastructure, including compute, storage, IAM, and networking
  • Support and manage Azure infrastructure (VNets, networking, compute, storage)
  • Design and implement network provisioning (VPC / VNet architecture, routing, firewalls, load balancers, private connectivity)
  • Build and operate infrastructure for data platforms (data lakes, warehouses, streaming, analytics platforms)
  • Provision and support AI / ML infrastructure, including GPU resources and AI platforms
  • Implement security best practices, IAM, encryption, and compliance controls
  • Optimize infrastructure for performance, reliability, and cost
  • Collaborate with data engineering, analytics, and ML teams
  • Document infrastructure, architecture, standards, and operational runbooks

Required Technical Skills

  • Python : Advanced proficiency; production experience with APIs, async processing, and testing
  • AI / LLM Agents : Experience designing and implementing autonomous or semiautonomous AI agents (e.g., tool using agents, planners, orchestrators)
  • MCP (Model Context Protocols) : Experience with agent communication, coordination frameworks, or protocol driven AI architectures
  • Data Management : Data modeling and data pipelines Working with SQL and NoSQL databases Experience with data quality, governance, and large‐scale datasets
  • Cloud Experience : Hands on work in at least one major cloud platform (Azure, AWS, or GCP) Experience with cloud storage, compute, and managed services Familiarity with CI / CD and cloud native deployment patterns
  • Strong experience with Terraform (Infrastructure as Code)
  • Experience with CI / CD pipelines, preferably Azure DevOps
  • Strong hands-on experience with Google Cloud Platform (GCP)
  • Solid understanding of cloud networking and network provisioning
  • Experience supporting data platforms or large-scale data workloads
  • Experience with AI / ML infrastructure
  • Strong Linux and scripting skills (Bash, Python, etc.)
  • AI / LLM Agent and MCP (Model Control Protocols) – Google ADK, Copilot Studio
  • Cloud Experience – Google Cloud or Azure preferred.
  • Database Knowledge – BigQuery, Firestore, Cloud SQL, etc.
  • Data pipeline – Dataflow
  • Power Automate
  • Automation Tooling – UI Path, etc.
  • CI / CD Pipeline – Azure DevOps Pipeline
  • Infrastructure as Code (IaC) - Terraform
  • Preferred / Nice to Have

  • Experience with vector databases and embeddings
  • Familiarity with MLOps or LLMOps practices
  • Experience with streaming data or event driven architectures
  • Knowledge of security and compliance considerations for AI systems
  • Prior work in enterprise or large-scale data management
  • Healthcare or other data regulated experience preferred
  • Hands-on experience with Azure infrastructure
  • Experience with Kubernetes (GKE / AKS)
  • Experience with data services such as BigQuery, Dataflow, Dataproc, Synapse, ADLS, Snowflake
  • Monitoring and observability tools (Prometheus, Grafana, Cloud Monitoring)
  • Multi-cloud experience and relevant certifications
  • Education :

    Bachelor's degree in Computer Science, Information Technology or related field; OR equivalent 5+ years of experience. 5+ years of hands-on experience programming in SQL. 3+ years of experience building and maintaining automated data pipelines and data assets using batch and / or streaming processes

    Engagement Characteristics

  • Contractor is expected to work independently with minimal supervision
  • Comfortable operating in fast moving, evolving technical environments
  • Strong documentation and communication skills
  • Experience collaborating with remote and cross functional teams
  • Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 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 clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals.

    For contract roles, Genesis10 offers the benefits listed below. If this is a permanent placement opportunity, our recruiter can discuss the unique benefits offered by that particular client with you.

    Benefits of Working with Genesis10 :

  • Access to hundreds of clients, most of whom have been working with Genesis10 for 5-20+ years.
  • The opportunity to have a career with Genesis10; many of our consultants have been working exclusively with Genesis10 for years.
  • Access to an experienced, caring recruiting team (more than 7 years of experience, on average).
  • Behavioral Health Platform
  • Medical, Dental, Vision
  • Health Savings Account
  • Voluntary Hospital Indemnity (Critical Illness & Accident)
  • Voluntary Term Life Insurance
  • 401K
  • Sick Pay (for applicable states / municipalities)
  • Commuter Benefits (Dallas, NYC, SF)
  • Remote opportunities available
  • For multiple years, Genesis10 has been recognized as a top staffing firm in the U.S., as well as a best company for work-life balance, career growth, diversity, and leadership, among other distinctions. To learn more or explore our available career opportunities, please visit us at .

    Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

    #DIG10-MN

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