Data Engineer - 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 once per week

• Hybrid Individual Contributors: 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 month.

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 extract, transform, and load (ETL) solutions using programming, performance tuning, data modeling. Creates databases optimized for performance, implementing schema changes, and maintaining data architecture standards across all of the business’s databases. Serves as a liaison between the Database Administration department and development teams.

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 flow; and how it affects surrounding systems and operational areas.
• Architect, design, construct, test, tune, deploy, and support Data Integration solutions for various data management systems.
• Contribute to the team’s knowledge base with useful information such as adopted standards, procedure documentation, problem resolution advice, etc.
• Participate in the promotion of SQL Server best practices
• Collaborate with other technology teams and architects to define and develop solutions.
• Research and experiment with emerging Data Integration technologies and tools.
• Work with the team to establish and reinforce disciplined software development, processes, standards, and error recovery procedures are deployed; ensuring a high degree of data quality.
• Support Enterprise database clustering, mirroring, replication among other SQL Server technologies.
• Develop, write and implement processing requirements and post implementation review
• Facilitate and/or create new procedures and processes that support adva