Arizona Public Service (APS)

Data Engineer | Data Platform & Delivery

Data Engineer | Data Platform & Delivery
Notice info
LocationPhoenix, AZ
On-site
Oil and Gas

About This Job


Date: Jul 22, 2025


Location: PHOENIX, AZ, US, 85004-3903


Company: APS

Our present and future success depends on the creative and dedicated people of our company who demonstrate the principles outlined in the APS Promise: Design for Tomorrow, Empower Each Other and Succeed Together.


Summary

Data Engineer | Data Platform & Delivery



What Your Day Would Be Like:

Partner with Business SMEs, IT Developers to understand business requirements, translate them in technical requirements, develop data model, design pipelines.

Develop conceptual, logical, and physical data models to meet organizational needs.
Work closely with business analysts, data engineers, and other stakeholders to gather requirements and translate them into technical specifications.
Fine-tune and optimize data models for query performance, storage costs, and computational efficiency.
Develop and maintain data models to support data warehousing and business intelligence initiatives
Assist with data migration, integration, and transformation activities.
Document and communicate data models, their specifications, and best practices to relevant teams.
Keep abreast of industry trends and emerging technologies within data management.


The Kinds of People We Want to Talk To Have Done Many of the Following:

Strong understanding of data modeling principles, data warehousing, and business intelligence concepts.
Strong working experience working with cloud technologies and cloud data integration technologies.
Excellent SQL skills and experience with relational databases.
Experience with Azure services and Oracle cloud Services, including Azure SQL Database, Azure Synapse Analytics, Azure Data Lake, Oracle Cloud Analytics Tech stack, Oracle SQL/ SQLPlus.
Familiarity with ETL processes, data integration tools, and data transformation techniques.
Strong communication and collaboration skills to effectively work with stakeholders and teams.
Ability to troubleshoot data issues, identify discrepancies, and resolve problems.
Functional knowledge of Maximo, Financial Applications, Customer Care and Billig, Meter data is plus
Familiar with data modeling tools like ERStudio or ERWIN


Minimum Requirements

Data Engineer | Data Platform & Delivery


Bachelors' degree in a relevant business or science, information technology or analytics, applied math, statistics, physics or related field

PLUS ten (10) years data management or data/IT architecture design role including / emphasizing direct business solutions design and development
OR Masters degree and eight (8) related experience.
In lieu of degree, equivalent combination of education and directly related experience equaling 14 years is required.
Proficient in data/IT architecture leading practices, data modeling, data integration, CRUD modeling, SQL, workflows and related tools.
Proficient in one or more data modeling, and analytical tools. Proficient in solutions programming and/or development.
Programming skill in Python, C/C++, Java, or R.
Familiarity with RapidMiner, SAS, SPSS, RStudio, Anaconda, MatLab, Azure, Databricks, ELK, or other data mining platforms.
Working understanding of Data Lakes, Cloud architectures, transactional data systems and flows, and streaming data sources such as PI.
Knowledge of statistical analysis, machine learning, data mining, NLP, predictive analytics, text mining and modeling general concepts. Proficient in relational and non-relational data systems implementation.
Experience with scripting, APIs and data source development.
Experience with data transformations for analytic use including information flow, query execution and optimization, comparative analysis of data stores, logical operations, database and data channel setup / management, data infrastructure design and build.



Preferred Special Skills, Knowledge or Qualifications


Knowledge of applicable federal and state laws, regulations, and standards impacting business unit areas.
Excellent customer service, organizational, and analytical skills.

Demonstrated communication skills, both verbal and written. Must be able to work on multiple tasks simultaneously.


Major Accountabilities

1) Primary custodian of data analytics architecture, data transformation and consumption strategies for both data mining and data science models / algorithms.

Coordinates with Data Governance, IT Data Architecture and Cyber Security to ensure that analytic architectures fit within Business and IT strategies. Provides senior thought leadership and recommendations on data architecture leading practices.

2) Develop and integrate new data management technologies with clear articulation of data sources, data transformation channels, consuming systems, data and visualization models, and integration mechanism for key information objects (master data and transactional data) for high-performance algorithms, prototypes, predictive models, and proof of concepts.

3) Develop and maintain data models including subject area models, conceptual models, CRUD (Create-Read-Update-Delete) data life cycle models, and logical models from a business perspective.

4) Develop and maintain meta data, reference data, and business data dictionary, compliant with data standards, and policies, and emerging industry best standards for data management from a business perspective.

5) Collaborate with Data Scientists to ensure proper data is collected and prepared for analysis. Review and approve data, reporting and analytic functional and non-functional requirements on behalf of the business

6) Maintain functional solution design inventory.

7) Lead and/or support new software or solution evaluations in collaboration with data and analytics team, IT Architects and business unit stakeholders.

8) Integrate, code, and develop data channels including transformation, middleware, and or services to present both data and metadata in a form consumable by algorithms specified by Data Miners and Scientists.

Must design and develop with an understanding towards how the data algorithms and models will consume and utilize the data towards prescribed outcomes.


Export Compliance / EEO Statement

This position may require access to and/or use of information subject to control under the Department of Energy's Part 810 Regulations (10 CFR Part 810), the Export Administration Regulations (EAR) (15 CFR Parts 730 through 774), or the International Traffic in Arms Regulations (ITAR) (22 CFR Chapter I, Subchapter M Part 120) (collectively, 'U.S. Export Control Laws'). Therefore, some positions may require applicants to be a U.S. person, which is defined as a U.S. Citizen, a U.S. Lawful Permanent Resident (i.e. 'Green Card Holder'), a Political Asylee, or a Refugee under the U.S. Export Control Laws. All applicants will be required to confirm their U.S. person or non-US person status. All information collected in this regard will only be used to ensure compliance with U.S. Export Control Laws, and will be used in full compliance with all applicable laws prohibiting discrimination on the basis of national origin and other factors. For positions at Palo Verde Nuclear Generating Stations (PVNGS) all openings will require applicants to be a U.S. person.

Pinnacle West Capital Corporation and its subsidiaries and affiliates ('Pinnacle West') maintain a continuing policy of nondiscrimination in employment. It is our policy to provide equal opportunity in all phases of the employment process and in compliance with applicable federal, state, and local laws and regulations. This policy of nondiscrimination shall include, but not be limited to, recruiting, hiring, promoting, compensating, reassigning, demoting, transferring, laying off, recalling, terminating employment, and training for all positions without regard to race, color, religion, disability, age, national origin, gender, gender identity, sexual orientation, marital status, protected veteran status, or any other classification or characteristic protected by law.

For more information on applicable equal employment regulations, please refer to EEO is the Law poster. Federal law requires all employers to verify the identity and employment eligibility of every person hired to work in the United States, refer to E-Verify poster. View the employee rights and responsibilities under the Family and Medical Leave Act (FMLA). Arizona Public Service is a smoke free workplace.

Home Based: Home based employees primarily work from their home offices and come into an APS facility on an as-needed basis.

Employees are expected to reside in Arizona (or New Mexico for Four Corners-based employees).

Working from a home office requires adequate technology and an appropriate ergonomic set up.

Role types are subject to change based on business need.



Job Segment: Nuclear, Energy

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