Tempe, AZ (onsite)
PHI Health, LLC is focused on building safe, efficient, high-quality outcomes, with a service mindset for customers, communities, and each other. As a Principal Data Engineer in Phoenix, AZ, you will help shape and evolve the enterprise-wide data architecture by designing scalable data solutions, leading data platform and pipeline implementations, and modernizing the data ecosystem to support analytics, operational systems, and advanced data products.
This role also includes mentoring and enforcing engineering standards, while ensuring data quality, lineage, and HIPAA compliance across data use cases.
Responsibilities
- Contribute to strategic direction for enterprise data architecture, aligning solutions with business goals and future scalability.
- Lead evaluation and adoption of emerging data technologies, platforms, and frameworks to drive innovation and efficiency.
- Guide design and implementation of complex, cross-domain data solutions for advanced analytics, AI/ML, and operational intelligence.
- Lead enterprise-wide efforts to modernize data infrastructure, including migration to cloud-native platforms and adoption of Microsoft Fabric components.
- Architect scalable, secure, and efficient data pipelines and architectures.
- Evaluate and recommend tools, frameworks, platforms, and best practices for data engineering needs.
- Enforce coding standards, review others’ work, and mentor engineers on best practices.
- Ensure data quality, lineage, and compliance with regulations, specifically HIPAA.
- Mentor junior data engineers through guidance, training, and support; assist with onboarding new data engineers.
- Lead and maintain documentation efforts.
- Conduct performance optimization by identifying bottlenecks and improving data process performance.
- Create and maintain data pipelines, data flows, PySpark notebooks, and semantic models.
- Assemble complex datasets across multiple domains to meet functional and non-functional business requirements.
- Identify and implement internal process improvements, including automating manual processes and redesigning infrastructure for scalability.
- Build extraction, transformation, and loading (ETL) processes from SQL, web APIs, and spreadsheets.
- Collaborate with Executive, Product, Data, and Design teams to support data infrastructure needs and address data-related technical issues.
- Maintain appropriate separation of data access for diverse use cases, including HIPAA, personally identifiable information, and financial.
- Create data tools that help analysts and domain experts improve company services and data value.
- Support long-term IT data projects with competing priorities.
Requirements
- 10+ years in data engineering or closely related fields.
- Expert-level SQL knowledge, including query authoring and familiarity with relational databases.
- Advanced knowledge of traditional ETL technologies (Microsoft SSIS, Informatica, Talend, etc.) preferred.
- Experience with emerging cloud data platforms (Microsoft Fabric, Snowflake, Databricks, etc.) preferred.
- Experience with distributed processing technologies such as Apache Spark, including PySpark and Spark SQL, preferred.
- Proven experience building data pipelines, architectures, and datasets across main domains with little to no documentation.
- Ability to perform root cause analysis on internal and external data and processes to answer business questions and identify improvements.
- Strong analytic skills and experience with metadata, dependency, and workload management.
- Demonstrated ability to manipulate, process, and extract value from disconnected datasets.
- Experience collaborating with cross-functional teams in a dynamic environment.
Technologies
- SQL
- Microsoft SSIS
- Informatica
- Talend
- Microsoft Fabric
- Snowflake
- Databricks
- Apache Spark
- PySpark
- Spark SQL
- HIPAA
- Web APIs
- Spreadsheets
Location / Schedule
Core Competencies
- Safe: Aligned to the tenets of Destination Zero, with Zero as the only acceptable outcome.
- Efficient: Outcomes focused on smart, responsible use of resources to maximize productivity and support sustainable profitability.
- Quality: Commitment to excellent organizational performance for reliable outcomes.
- Service: Dedicated service to customers, communities, and each other.
Behavioral Competencies
- Show Real Grit: Driven with safety as a guide, committed to finishing tasks and helping others.
- Perform with Integrity: Do what’s right.
- Be a great team player: Work with dignity and respect to achieve cohesive outcomes.
- Give and Get Help: Recognize the need for support and seek help when required.
Disclaimer: The statements above describe the general nature and level of work performed by people assigned to this classification and are not intended to be an exhaustive list of responsibilities, duties, and skills required.
