Senior Data Engineer
Listed on 2026-02-16
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Engineering
Data Engineer, Systems Engineer -
IT/Tech
Data Engineer, Systems Engineer
Senior Data Engineer (Azure / Financial Systems)
Location: Phoenix, AZ (On-site)
6-month contract-to-hire
Corner Stone Technology Talent Services is partnering with a large, established organization on a contract-to-hire opportunity for a Senior Data Engineer to support a mission-critical financial system. This role is a planned backfill for a senior technical resource and is positioned for long-term ownership and continuity. This is a hands-on senior role, not a purely advisory position. The ideal candidate will design, build, and support enterprise-scale data pipelines and data models while helping mature foundational data practices in a stable, regulated environment.
Role OverviewThe Senior Data Engineer will serve as a core technical contributor responsible for designing and supporting enterprise data pipelines, data models, and integrations that power a large financial platform. This role blends data engineering execution with data architecture responsibilities, including performance optimization, data quality, and long-term scalability.
You will work closely with application teams, business stakeholders, and technical leadership while operating within an established team structure.
Key Responsibilities- Design and maintain logical and physical data models supporting enterprise financial systems
- Build, enhance, and optimize ETL/ELT pipelines and system integrations
- Support cloud and hybrid data platforms with a focus on performance, reliability, and scalability
- Improve data quality, lineage, and governance practices
- Troubleshoot complex data and pipeline issues and deliver durable solutions
- Collaborate with engineering, application, and business teams on enhancements and modernization
- Contribute to data architecture standards, documentation, and technical roadmaps
- 10+ years of experience in data engineering and/or data architecture roles
- Proven experience supporting enterprise-scale financial or regulated systems
- Strong hands-on experience with:
- SQL and data modeling (logical & physical)
- Cloud or hybrid data platforms
- Experience working in structured environments with established processes
- Ability to operate independently while collaborating with cross-functional teams
- Experience modernizing or migrating data platforms (on-prem → cloud)
- Background in public-sector or financial services data systems
- Exposure to data governance, lineage, and enterprise data standards
- Experience supporting long-lived, mission-critical platforms
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