Data Engineer

PHI Health, LLC; Tempe (AZ); Sur place; USD 140 000 - 190 000; Plein temps

Résumé du poste

PHI Health, LLC seeks an senior Data Engineer to shape enterprise data architecture, build scalable pipelines, and modernize infrastructure with HIPAA-aligned practices. You will lead cross-domain data solutions for analytics, AI/ML, and operational intelligence across the organization.

You will evaluate new data technologies, mentor engineers, and collaborate with executive, product, and design teams to deliver secure, compliant data solutions on cloud-native platforms such as Microsoft Fabric,

Qualifications

• 10+ years of experience in data engineering or closely related fields.
• Expert-level SQL knowledge, including query authoring and relational databases.
• Advanced knowledge of traditional ETL technologies: SSIS, Informatica, Talend (preferred).
• Experience with cloud data platforms such as Microsoft Fabric, Snowflake, Databricks (preferred).
• Experience with distributed processing technologies like Apache Spark, PySpark, Spark SQL (preferred).
• Proven experience building data pipelines and data sets with little to no documentation.
• Experience performing root cause analysis on data and processes to improve outcomes.
• Strong analytical skills and ability to design scalable data architectures.

Responsabilités

• Contribute to strategic direction for enterprise data architecture aligned with business goals.
• Lead evaluation and adoption of emerging data technologies and platforms.
• Design and implement cross-domain data solutions for analytics and AI/ML.
• Modernize data infra including cloud migration and Fabric adoption.
• Architect scalable, secure data pipelines and data models.
• Mentor junior data engineers and enforce coding standards.
• Ensure data quality, lineage, and HIPAA compliance.
• Build data pipelines from SQL, web APIs, and spreadsheets.
• Collaborate with Exec, Product, Data, and Design teams to resolve data issues.

Connaissances

SQL

Data modeling

Analytics

Mentoring

Cross-functional collaboration

Outils

Microsoft SSIS

Informatica

Talend

Microsoft Fabric

Snowflake

Databricks

Apache Spark

PySpark

Spark SQL

HIPAA

Web APIs

Spreadsheets

Description du poste

Shape and evolve enterprise data architecture through scalable pipelines, platform modernization, and HIPAA-aligned data practices.

Responsibilities

• Contribute to strategic direction for enterprise data architecture, aligning with business goals and long-term scalability.
• Lead evaluation and adoption of emerging data technologies, platforms, and frameworks to improve innovation and efficiency.
• Design and implement complex, cross-domain data solutions for advanced analytics, AI/ML, and operational intelligence.
• Modernize enterprise data infrastructure, including migration to cloud-native platforms and adoption of Microsoft Fabric components.
• Architect scalable, secure, and efficient data pipelines and data architectures.
• Evaluate and recommend tools, frameworks, platforms, and best practices for data engineering.
• Enforce coding standards, conduct code reviews, and mentor others on engineering best practices.
• Ensure data quality, lineage, and regulatory compliance with a focus on HIPAA.
• Maintain high customer responsiveness, with strong documentation and communication and attention to detail.
• Build and maintain data pipelines, data flows, PySpark notebooks, and semantic models.
• Assemble complex data sets from multiple domains to meet functional and non-functional requirements.
• Improve internal processes by running and automating manual processes, improving data delivery, and redesigning infrastructure for greater scalability.
• Create ETL/ELT processes to extract, transform, and load data from SQL, web APIs, and spreadsheets.
• Collaborate with Executive, Product, Data, and Design teams to resolve data-related technical issues and support data infrastructure needs.
• Ensure data separation through access controls for diverse use cases, including HIPAA, personally identifiable information, and financial data.
• Create data tools that help analysts and domain experts build and improve company services.
• Partner with domain experts and analysts to improve how value is extracted from data systems.
• Assess current data and identify additional data sources that can provide further value.
• Deliver long-term IT data projects with competing priorities.
• Lead documentation efforts and support onboarding and assistance for new data engineers.
• Conduct performance optimization by identifying bottlenecks and improving data process performance.
• Mentor junior data engineers with guidance, training, and support.

Requirements

• 10+ years of experience in data engineering or closely related fields.
• Expert-level SQL knowledge, including query authoring and experience with relational databases.
• Advanced knowledge of traditional ETL technologies, including Microsoft SSIS, Informatica, and Talend (preferred).
• Experience with emerging cloud data platforms such as Microsoft Fabric, Snowflake, and Databricks (preferred).
• Experience with distributed processing technologies including Apache Spark and related querying languages such as PySpark and Spark SQL (preferred).
• Proven experience building data pipelines, architectures, and data sets with little to no documentation across major domains.
• Experience performing root cause analysis on internal and external data and processes to answer business questions and identify improvement opportunities.
• Strong analytical skills.
• Ability to build processes for data transformation, data structures, metadata, dependency, and workload management.
• Track record manipulating, processing, and extracting value from disconnected datasets.
• Experience supporting cross-functional teams in a dynamic environment.

Technology Stack

• SQL
• Microsoft SSIS
• Informatica
• Talend
• Microsoft Fabric
• Snowflake
• Databricks
• Apache Spark
• PySpark
• Spark SQL
• HIPAA
• Web APIs
• Spreadsheets

Location / Schedule

• Tempe, AZ (onsite)
• PHOENIX, AZ
• 5 & 2

Core Competencies

• Safe
• Efficient
• Quality
• Service

Behavioral Competencies

• Show Real Grit
• Perform with Integrity
• Be a great team player
• Give and Get Help

Disclaimer: The above statements describe the general nature and level of work performed by people in this classification and are not an exhaustive list of responsibilities, duties, and skills required.