Data Engineer Sr

Sundt Construction•Tempe, AZ

1d•Onsite

About The Position

Sundt Construction, Inc. has a full-time Data Engineer Senior position in Tempe, Arizona. This role involves the end-to-end management of data across the organization, including design, implementation, maintenance, discovery, and governance. The Data Engineer Senior will collaborate with stakeholders, business intelligence teams, report builders, and developers to ensure the efficiency of data consumption at all levels. Responsibilities include building and maintaining databases for integrations and custom applications, creating a metadata repository for data tracking and self-discovery, and designing/developing data guidelines for high-quality, timely data delivery. The role also entails developing and maintaining data warehousing systems for reporting and analysis, documenting data models, pipelines, schemas, and quality checks, and educating/supporting teams on data resource utilization while upholding data quality and security standards. Additionally, the position requires managing Power BI deployments, optimizing data platforms, ensuring data privacy, security, and compliance, and utilizing Power BI for dataset creation, DAX measures, and data modeling. Staying current with emerging technologies and best practices is also a key aspect of this role.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, Management Information Systems, or related field
4 years experience required
Background check required
Drug test required

Responsibilities

End-to-end management of data across the organization, including design, implementation, maintenance, discovery, and governance
Collaboration with stakeholders, business intelligence teams, report builders, and developers
Ensure efficiency of data consumption at all levels
Build and maintain databases to store data for integrations and custom in-house developed applications
Build metadata repository to track data flow throughout the organization to determine system of record and allow for business self-discovery
Design, develop, and implement data guidelines to ensure high quality data is delivered on time
Develop and maintain data warehousing systems to be used for reporting and analysis
Develop and maintain documentation, including data models, data pipelines, database schemas, and data quality checks
Educate and support teams in fully leveraging data resources, ensuring high data quality and security standards across the company
Manage and enhance Power BI deployments, overseeing tenant and premium instances for optimal performance
Manage data platforms to ensure correct configuration and performance optimization
Manage data privacy, security, & compliance while enforcing data classification and protection requirements
Utilize Power BI for creating datasets, writing DAX measures, and understanding data modeling with star schema
Stay up to date with emerging technologies and best practices