Data Engineer (Business Intelligence) - Hybrid

Blue Cross Blue Shield of Arizona•Phoenix, AZ

2d•Hybrid

About The Position

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.

Requirements

4 years of experience in computer programming, query design, and databases
6 years of experience in computer programming, query design, and databases (Senior level)
High-School Diploma or GED in general field of study
Intermediate skill in use of office equipment, including copiers, fax machines, scanner and telephones
Intermediate PC proficiency in spreadsheet, database and word processing software
Advanced knowledge of business intelligence, programming, and data analysis sotfware
Intermediate knowledge of Microsoft SQL databases and database administration
Strong proficiency in SQL and data modeling for analytics and reporting
Experience with ETL frameworks and data pipeline development
Experience working with Snowflake or similar cloud-based platforms
Understanding of data integration across BI tools and reporting platforms
Ability to support both structured reporting and ad hoc data requests
Intermediate proficiency in T-SQL, NZ-SQL, PostgreSQL, NoSQL, Hadoop, data tuning, enterprise data modeling and schema change management.
Working technical knowledge of current software protocols and Internet standards to the extent that they apply to database administration.
Excellent database troubleshooting skills
Working technical knowledge of PowerShell.
Strong object-oriented design and analysis skills
Experience consuming, organizing and analyzing JSON and XML messages as data.
Knowledge of agile development practices
Strong analytical skills to support independent and effective decisions
Ability to prioritize tasks and work with multiple priorities, sometimes under limited time constraints.
Perserverance in the face of resistance or setbacks.
Effective interpersonal skills and ability to maintain positive working relationship with others.
Verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts.
Systems research and analysis.
Ability to write and present business intelligence documentation
Demonstrate the ability to stay current on global threats and vulnerabilities.
Maintain confidentiality and privacy
Build synergy with a diverse team in an ever changing environment
Facilitate and resolve customer requests and inquiries for all levels of management within the Corporation (Senior only)
Participation in one or more groups that aids in setting/enforcing standards and/or providing educational opportunities across the IT organization. (Senior only)

Nice To Haves

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)
Bachelor’s Degree in Information Technology or related field preferred
Master’s Degree in Information Technology or related field (Senior)
MS SQL Certification or other certification in current programming languages
Knowledge of HIPAA regulations
Advanced proficiency in spreadsheet, SQL queries, database, flow charting, and word processing software
Advanced knowledge of data mapping techniques
Advanced knowledge of computer operating systems
Advanced knowledge of decision support systems
Advanced knowledge of programming, database systems, and data management.
Advanced knowledge of decision support systems
Advanced knowledge of Business Objects
Experience with Snowflake or modern cloud data warehouse platforms
Experience integrating BI tools such as Power BI, Tableau, and Business Objects
Experience building scalable data pipelines and data integration frameworks
Advanced systems research and analysis expertise
Impeccable project management skills
Solid technical ability and problem solving skills
Knowledge of internal departments and operations
Strong technical documentation skills and a strong ability to translate technical concepts so that they are easily understood by laypersons
Ability to provide mentoring and peer review to junior team members
Ability to build lesson plans and deliver lessons to junior team members

Responsibilities

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.
Performs job functions with minimal supervision in a Lead capacity
Research, analyze, track and resolve complex production problems.
Build, support, and maintain complex processes, programs, and data.
Evaluate high-level project information and assess project components to forecast work effort required.
Provide peer-level review and mentoring to peers.
Participate and/or lead complex technical projects.
Act as primary operational contact for internal and external customers when needed or in the absence of manager.
Ensure Service Level Agreements between department and operational or technical areas are met.
Inform manager of any issues impacting the efficient and effective performance of the department including system, resource, and informational barriers; Provide timely feedback to team member on performance.
Lead Snowflake-based data engineering initiatives and support platform integration efforts
Act as a subject matter expert in data engineering, ETL, and BI tool integration
Support and influence future-state data architecture and platform decisions
Mentor team members on SQL, ETL development, and modern data engineering practices
Partner with Senior Manager, Data & Platform on platform strategy execution
Each progressive level includes the ability to perform the essential functions of any lower levels and mentor employees in those levels.
Maintain current on new developments in technology-related industries.
Participate in corporate quality and data governance programs.
Participate in on-call rotation.
Perform all other duties as assigned.
Participate in on-call rotation.