Data Engineer Sr

Sundt•Phoenix, AZ

About The Position

As a 100% employee-owned contractor, when you work at Sundt, you’re not just hiring on at a company, you’re joining a culture. Because everyone at Sundt is part owner, you’ll join a team of people who are deeply invested in their work. From apprentices to managers, we’re passionate about the details and deliberate in everything we do. Job Summary The Senior Data Engineer leads the design, implementation, and optimization of enterprise-scale data solutions that enable analytics, reporting, and data-driven decision-making across the organization. This role provides technical leadership in building robust data architectures, pipelines, and data models while ensuring high standards for data quality, performance, security, and governance. Senior Data Engineers partner closely with business leaders, architects, and development teams to translate complex requirements into scalable solutions, mentor junior engineers, and drive the adoption of best practices and emerging data technologies that advance the organization's data strategy.

Requirements

5+ years of professional experience using SQL to design, optimize, and support complex data models, queries, and transformations in production data environments.
Advanced experience with modern data and analytics tools such as Databricks/Spark, Power Bl, Git, Python, Azure data services, and Cl/CD pipelines.
Bachelor's Degree in Computer Science, Information Systems, Data Analytics, or a related field OR an equivalent combination of education and significant relevant experience.
Proven ability to independently lead and deliver complex data engineering solutions, manage competing priorities, and troubleshoot high-impact data issues.
Strong verbal and written communication skills, with the ability to influence technical decisions, collaborate with business leaders, and mentor junior engineers.

Responsibilities

Architect, build, and govern scalable data pipelines to ensure reliability, performance, and data quality.
Define and enforce standards for data modeling, documentation, and data quality validation.
Lead development of Power Bl semantic models, optimized datasets, dashboards, and complex DAX measures.
Lead the design and optimization of databases and data solutions supporting enterprise integrations and applications.
Mentor junior engineers and drive adoption of best practices and emerging data technologies.
Oversee and optimize data platforms, including Azure cloud-native solutions and Azure Data Factory pipelines, with a focus on scalability, reliability, and cost optimization.
Own and evolve data warehouse architectures to support advanced analytics and reporting.
Partner with business and technical leaders to translate complex requirements into secure, scalable data solutions.