Data Engineer / Analytics Developer

Requisition ID: 19529

 

Join us in building a better future for Arizona!

SRP is one of the largest public power and water utilities in the U.S. providing electricity to approximately one million customers in the greater metropolitan Phoenix area. Since its founding in 1903, SRP has fostered a culture of stewardship and customer service consistently ranking as an industry leader in customer service according to J.D. Power and named one of Arizona's best employers by Forbes. SRP continues to adapt to its changing business environment by seeking innovative ways to reimagine utility service and the provision of critical resources essential to the life and economy of Arizona.

 

Why Work at SRP

At SRP, we foster an inclusive work environment and believe everyone should have a fair chance to work, regardless of who they are. That’s why we value teams with diverse perspectives, experiences, and backgrounds to help SRP deliver on its mission of providing reliable, affordable and sustainable water and power.

 

SRP's success is rooted in our employees' happiness, health, and safety. That's why we offer a comprehensive benefits package to meet the needs of our employees and enhance their well-being. In addition to competitive pay and performance incentives, eligible employees can take advantage of the following benefits:

 

• Pension Plan (at no cost to the employee)
• 401(k) plan with employer matching
• Available your first day: Medical, vision, dental, and life insurance
• Over 200+ hours of PTO (includes vacation days, holidays, floating holidays, and sick leave)
• Parental leave (up to 4 weeks) and adoption assistance
• Wellness programs (including access to a recreation and fitness facility)
• Short and long-term disability plans
• Tuition assistance for both undergraduate and graduate programs
• 10 Employee Resource Groups for career development, community service, and networking

 

Summary

The Water Data Governance & Analytics (WDGA) team is an Analytics Competency Center within Water Information Technology Services (WITS), designed to provide state-of-the-art data analytics and reporting, including tools and data architecture, to improve the value of information and provide insights for operational efficiencies and customer service across the Water Stewardship organization. This role involves working on a cross-functional Data Governance and Analytics team developing analytics products throughout the data lifecycle. 

 

As a Data Engineer/Analytics Developer on this team, you will be responsible for transforming raw data from diverse sources into actionable insights that drive business decisions. This role blends data engineering with business intelligence and analytics. You will work in a collaborative, fast-paced environment alongside data scientists, data engineers, business stakeholders, and IT professionals throughout SRP and its Water organization to design efficient data models, build robust data pipelines, and deliver impactful dashboards and visualizations using visual storytelling techniques.

What You'll Do

•    Design, build, and manage complex, high-performing multi-user analytic solutions using both on-premises and cloud platforms.
•    Develop and maintain ETL/ELT pipelines using tools such as Azure Data Factory to integrate data from sources like Snowflake and SQL Server.
•    Define and develop dashboards and interactive visualizations that communicate business metrics and performance indicators.
•    Source, profile, and analyze data to uncover trends and support decision-making.
•    Collaborate with business stakeholders to translate requirements into analytical data models and dashboards.
•    Apply data exploration, transformation, and basic statistical methods to improve data quality and generate insights.
•    Analyze and design physical databases, ensuring query optimization.
•    Handle other duties and projects assigned.

What It Takes To Succeed

Technical Skills
•    Languages: SQL (T-SQL, SnowSQL), Python
•    Platforms/Tools: Power BI, Snowflake, Microsoft Azure, Azure Data Factory, SSRS, Dataiku
•    Databases: SQL Server
•    Additional: Knowledge of SAP BI is a plus

Preferred Qualifications
•    Advanced proficiency in Power BI
•    Strong proficiency with SQL and T-SQL in a