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Data Engineer

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Robert Half

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Location:
United States , Kalamazoo

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

Not provided
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Job Description:

We are looking for a senior-level Data Engineer to shape and deliver a scalable data platform in Kalamazoo, Michigan. This role combines strategic architecture with hands-on engineering, creating reliable data products that support reporting, advanced analytics, and AI-driven solutions. The ideal candidate will build secure, multi-tenant data capabilities with strong attention to privacy, governance, and long-term platform quality.

Job Responsibility:

  • Lead the design of a modern data platform that supports ingestion, transformation, storage, and consumption across analytical and operational use cases
  • Build and maintain robust batch and streaming pipelines that move data from relational systems, object storage, document databases, and event sources into centralized platforms
  • Define data architecture standards, modeling approaches, and engineering practices that improve consistency, reliability, and scalability across the organization
  • Create multi-tenant data solutions with strong isolation controls, secure access patterns, and governance measures built into the platform design
  • Develop data models and serving layers that enable enterprise reporting, self-service analytics, and AI or machine learning workloads
  • Evaluate cloud-based data services, processing frameworks, and warehouse technologies to ensure the platform meets performance, cost, and security expectations
  • Partner with product, engineering, and leadership teams to explain technical decisions, highlight risks, and align platform investments with business priorities
  • Oversee external vendors and implementation partners by reviewing recommendations, challenging misaligned approaches, and enforcing internal data standards

Requirements:

  • 10+ years of experience in data engineering, including ownership of large-scale architecture decisions in production environments
  • Strong expertise with Python and modern data processing technologies such as Apache Spark, Kafka, Hadoop, or similar platforms
  • Proven experience designing both batch and real-time data pipelines for cloud-based ecosystems, including AWS services and enterprise data warehouses
  • Deep understanding of data modeling for transactional and analytical workloads, including multi-tenant design principles and access control strategies
  • Hands-on experience with platforms such as Snowflake, Redshift, graph databases, and document-oriented data sources
  • Solid knowledge of data governance, privacy requirements, and secure handling of sensitive information in shared environments
  • Experience with ETL and transformation frameworks, including testing, documentation, and deployment practices within CI/CD workflows
  • Demonstrated ability to communicate architecture strategy and technical tradeoffs clearly to senior leaders, business stakeholders, and external partners
What we offer:
  • Medical, vision, dental, and life and disability insurance
  • Company 401(k) plan
  • Free online training

Additional Information:

Job Posted:
May 13, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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