Data Engineer (Business Intelligence) - Hybrid

Awarded a Healthiest Employer, Blue Cross Blue Shield of Arizona aims to fulfill its mission to inspire health and make it easy. AZ Blue offers a variety of health insurance products and services to meet the diverse needs of individuals, families, and small and large businesses as well as providing information and tools to help individuals make better health decisions. At AZ Blue, we have a hybrid workforce strategy, called Workability, that offers flexibility with how and where employees work. Our positions are classified as hybrid, onsite or remote. While the majority of our employees are hybrid, the following classifications drive our current minimum onsite requirements: Hybrid People Leaders: must reside in AZ, required to be onsite at least twice per week Hybrid Individual Contributors: must reside in AZ, unless otherwise cited within this posting, required to be onsite at least once per week Hybrid 2 (Operational Roles such as but not limited to: Customer Service, Claims Processors, and Correspondence positions): must reside in AZ, unless otherwise cited within this posting, required to be onsite at least once per month Onsite: daily onsite requirement based on the essential functions of the job Remote: not held to onsite requirements, however, leadership can request presence onsite for business reasons including but not limited to staff meetings, one-on-ones, training, and team building Please note that onsite requirements may change in the future, based on business need, and job responsibilities. Most employees should expect onsite requirements and at a minimum of once per week. This position is hybrid within the state of AZ only.  This hybrid work opportunity requires residency, and work to be performed, within the State of Arizona. Purpose of the job Designs and implements Business Intelligence and data engineering solutions across enterprise data platforms, including ETL development, data modeling, and performance optimization. Responsible for building and supporting modern data integration solutions leveraging Snowflake and cloud-based data platforms. Develops scalable data pipelines, integrates BI tools (e.g., Power BI, Business Objects), and ensures data is accessible, reliable, and optimized for analytics and operational reporting. This role supports enterprise BI by enabling both structured reporting solutions and ad hoc data requests, partnering with business teams to deliver timely data insights. The Data Engineer contributes to the design and build-out of future-state data architecture and serves as a key technical resource supporting the Senior Manager of Data & Platform and the Business Intelligence organization. Qualifications REQUIRED QUALIFICATIONS Required Work Experience 4 years of experience in computer programming, query design, and databases 6 years of experience in computer programming, query design, and databases (Senior level) Required Education High-School Diploma or GED in general field of study Required Licenses N/A Required Certifications N/A PREFERRED QUALIFICATIONS Preferred Work Experience 4+ years of experience building and managing complex Data Integration solutions. 4+ years of experience in computer programming, query design, and databases  4+ years of experience Database administration with SQL Server 6+ years of experience building and managing complex Data Integration solutions (Senior) 6+ years of experience in computer programming, query design, and databases (Senior) 6+ years of experience Database administration with SQL Server (Senior) Preferred Education Bachelor’s Degree in Information Technology or related field preferred Master’s Degree in Information Technology or related field (Senior) Preferred Licenses N/A Preferred Certifications MS SQL Certification or other certification in current programming languages ESSENTIAL job functions AND RESPONSIBILITIES DAta Engineer – Performs job functions with general supervision and peer review Learn area’s direct data flow and understand impact to surrounding systems and business processes. Architect, design, construct, test, tune, deploy, and support data integration and ETL solutions across enterprise platforms. Develop and maintain data pipelines using SQL, ETL tools, and Snowflake-based architectures . Design and implement Extract, Transform, and Load (ETL) solutions utilizing SSIS and modern data pipeline frameworks. Build and support data integration between Business Intelligence tools (Power BI, Business Objects, Tableau) and enterprise data platforms. Support Snowflake integration, ingestion, and data modeling efforts aligned to enterprise data strategy. Analyze and map data across systems to support reporting, analytics, and operational use cases. Perform ad hoc data pulls and analysis to support business requests and enterprise BI needs. Ensure data solutions meet quality, performance, and reliability standards. Collaborate with BI developers, analysts, and architects to deliver scalable reporting and analytics solutions. Participate in future-state data platform design and modernization initiatives. Support and implement data governance, data quality, and standardization practices. Write and execute unit test plans; troubleshoot and resolve processing issues. Participate in code reviews and ensure adherence to design and development standards. Contribute to documentation including technical designs, data mappings, and support procedures. Participate in the full Software Development Life Cycle (SDLC). Maintain knowledge of emerging technologies in data engineering, BI tools, and cloud platforms. Communicate status of work assignments to stakeholders and leadership. Support operational processes including monitoring, error handling, and recovery procedures. Maintain adherence to source control and versioning policies. Meet timeliness and accuracy goals and support enterprise reporting reliability. The pos