Sr. Data Engineer

Experis is hiring a Sr. Data Engineer to help build and operate a governed data foundation on Snowflake and Azure for leadership reporting and AI-powered capabilities. This hybrid role in Appleton, WI supports a Data & Analytics organization and the Data Foundation team, with a focus on production-ready pipelines, strong governance, and practical engineering operations.

In this position, you will lead the design and implementation of enterprise-grade data pipelines across ingestion, transformation, and serving layers. The work emphasizes traceability for governed KPIs, measurable pipeline performance targets, and a standards-based approach using dbt for version-controlled, tested, and observable transformations.

What you’ll do

• Lead the design and implementation of enterprise-grade data pipelines on Snowflake and Azure, owning ingestion, transformation, and serving layers for governed data products.
• Architect ingestion and integration patterns across source systems, applying CDC, batch, and streaming approaches as appropriate.
• Establish transformation frameworks using dbt as the modeling standard, with pipelines that are version-controlled, tested, and observable.
• Own pipeline SLAs by defining and tracking freshness, completeness, and error-rate targets, supported by documented runbooks and production on-call readiness.
• Drive schema governance, data modeling discipline, and data lineage and metadata management so governed KPIs have traceable sources and clear stewardship.
• Partner with the Director, Data & Analytics on platform strategy, roadmap, and Center of Excellence operating model.
• Mentor Data Engineers through code review, architectural pairing, and knowledge sharing as the team scales.

What you bring

• 4-7 years of professional data engineering experience, including demonstrated technical leadership on enterprise-grade data platforms.
• Advanced SQL skills, including complex query development, performance tuning, and schema design at scale.
• Hands-on experience with dbt (preferred) or equivalent transformation frameworks, including testing, documentation, and CI/CD integration.
• Production experience with Snowflake and strong working knowledge of Microsoft Azure data services, including Azure Data Factory, Azure SQL, Storage, and Key Vault.
• Working knowledge of data governance, lineage, cataloging, and security/compliance practices in regulated environments, including SOC 2 Type 2 and PII handling principles.

Technologies you’ll work with

• Snowflake, Azure, dbt, SQL, CDC
• Azure Data Factory, Azure SQL, Storage, Key Vault
• SOC 2 Type 2

Benefits

• Medical and Prescription Drug Plans
• Dental Plan
• Vision Plan
• Health Savings Account
• Health Flexible Spending Account
• Dependent Care Flexible Spending Account
• Supplemental Life Insurance
• Short Term and Long Term Disability Insurance
• Business Travel Insurance
• 401(k), Plus Match
• Weekly Pay

Upon completion of waiting period, consultants are eligible for the benefits listed above.

What’s in it for you

• Architect and operate a governed Snowflake plus Azure-native data foundation that supports leadership reporting and AI-powered capabilities.
• Work within an AI governance framework developed in partnership with Legal, InfoSec, Privacy, and Compliance to support responsible AI deployment.
• Use AI development assistants including GitHub Copilot, Microsoft Copilot, Claude, and emerging agent-based tooling as part of daily engineering practice.