Senior Data Engineer — Governed Data Pipelines (Snowflake/Azure)

Experis Technology Group; Appleton (WI); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical and Prescription Drug Plans

Dental Plan

Vision Plan

401(k) with match

Job summary

Experis Technology Group is supporting a local financial services organization in recruiting a Sr. Data Engineer. This hybrid role focuses on building governed data pipelines on Snowflake and Azure, owning ingestion, transformation, and serving layers for trusted decisions and AI-enabled capabilities.

The ideal candidate will mentor across functions, establish governance, and drive end-to-end data platform ownership in a production-ready environment.

Qualifications

• 4–7 years of professional data engineering experience with leadership on enterprise platforms.
• Advanced SQL skills with complex queries, tuning, and scalable schema design.
• Hands-on with dbt or equivalent transformation frameworks, including CI/CD integration.

Responsibilities

• Lead design and implementation of enterprise-grade data pipelines on Snowflake and Azure.
• Architect ingestion and integration patterns across source systems (CDC, batch, streaming).
• Establish transformation frameworks and ensure pipelines are version-controlled, tested, and observable.
• Own pipeline SLAs, track data freshness, completeness, and error rates with runbooks and on-call readiness.
• Drive governance, data modeling, and data lineage to ensure traceable KPI sources.

Skills

Advanced SQL

Mentorship/Leadership

Data Platform Ownership

CI/CD

Tools

Snowflake

dbt

Azure Data Factory

Azure SQL

Azure Storage

Key Vault

Job description

Experis Technology Group is supporting a local financial services organization in recruiting a Sr. Data Engineer. This hybrid role focuses on building governed data pipelines on Snowflake and Azure, owning ingestion, transformation, and serving layers for trusted decisions and AI-enabled capabilities.

The ideal candidate will mentor across functions, establish governance, and drive end-to-end data platform ownership in a production-ready environment.