Pediatric Associates

Supports critical data pipelines with a scalable distributed architecture, including data ingestion (streaming, events, and batch), data integration (ETL, ELT, Azure Data Factory), and distributed data processing using Databricks Data & Analytics and Azure Cloud Technology Stacks.. Builds cloud data solutions using multiple technologies, such as SQL, Python, Data Lake (Databricks Delta Lake), Cloud Data Warehouse (Azure Synapse), RDBMS, NoSQL databases.. Owns end-to-end design and development, testing, the release of critical components using Databricks technology stack and Microsoft Azure cloud platforms and services.. Minimum 6 years of experience required in creating robust enterprise-grade data engineering pipelines using SQL, Python, Apache Spark, ETL, ELT, Databricks Technology Stack, Azure Cloud Services, Cloud-based Data and Analytics platforms required.. Experience in distributed data (structured, semi-structured, unstructured, streaming) processing techniques using Apache Spark, Hadoop, Hive, Kafka, and big data ecosystem technologies preferred.

data engineer

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Pediatric Associates was founded in Hollywood, FL in 1955. The same clinician-led, evidence-based, medical home passion is a unifying driver for those who join Pediatric Associates Family of Companies. The Pediatric Associates Family of Companies is a growing team of Pediatricians and Pediatric Care Teammates who are excited to be part of the first nationwide Pediatric Primary Care Medical Home. We further our uniqueness by ensuring the clinician voice is leading our medical home innovations. Remote Position
PRIMARY FUNCTION
The Data Engineer III is a senior level data engineer role and is responsible for designing & building a leading-edge Data & Analytics platform for enabling value-based healthcare, population health management, and enterprise analytics. Designs, develops, maintains, and supports the cloud-based (Microsoft Azure) big data platform and uses modern data engineering design patterns and tools.
ESSENTIAL DUTIES AND RESPONSIBILITIES
This list may not include all the duties that may be assigned.
Owns solution design blueprints and architecture of the enterprise data platform features and functionality, including data ingestions, data integrations, data pipelines, data models, data quality, data governance.
Plays technical leadership role and leads other team members and guides them on solution design blueprints, data solutions development, and best practices for our enterprise data platform.
Designs, builds, and maintains scalable, automated data pipelines to enable Reporting, Data Visualization, Advanced Analytics, Data Science, and Machine Learning solutions.
Supports critical data pipelines with a scalable distributed architecture, including data ingestion (streaming, events, and batch), data integration (ETL, ELT, Azure Data Factory), and distributed data processing using Databricks Data & Analytics and Azure Cloud Technology Stacks.
Builds cloud data solutions using multiple technologies, such as SQL, Python, Data Lake (Databricks Delta Lake), Cloud Data Warehouse (Azure Synapse), RDBMS, NoSQL databases.
Understands and implements best practices in managing data, including master data, reference data, metadata, data quality, and lineage.
Deploys, automates, maintains, and manages cloud-based production systems to ensure the availability, performance, scalability, and security of production systems.
Engages with cross-functional stakeholders to identify pain points, business, and technical requirements, and to design data solutions using best-practice patterns and modern architecture.
Owns end-to-end design and development, testing, the release of critical components using Databricks technology stack and Microsoft Azure cloud platforms and services.
Performs other duties as assigned.
QUALIFICATIONS
EDUCATION:
Minimum BA or BS degree in Computer Science, Information Systems, or related field required. MS in Business Analytics or related discipline preferred.
EXPERIENCE
Minimum 6 years of experience required in creating robust enterprise-grade data engineering pipelines using SQL, Python, Apache Spark, ETL, ELT, Databricks Technology Stack, Azure Cloud Services, Cloud-based Data and Analytics platforms required. 8-10 years preferred.
Minimum 3 years of experience required in solution design blueprinting and leading technical team members towards delivery of robust enterprise-grade data platform solutions.
Strong proficiency in SQL and data analysis required.
Experience in distributed data (structured, semi-structured, unstructured, streaming) processing techniques using Apache Spark, Hadoop, Hive, Kafka, and big data ecosystem technologies preferred.
Experience in data modeling and design for data warehouse, relational databases, and NoSQL data stores preferred.
KNOWLEDGE, SKILLS, AND ABILITIES
Familiarity with Data Science and Machine Learning technologies, development process, and common Machine Learning libraries (e.g., Scikit-Learn, Tensorflow).
Strong problem-solving, critical thinking, verbal, and written communication skills.
Ability to influence decisions related to advanced analytics strategy & roadmaps, business use cases, and data platform capabilities.
Effective communication and collaboration with internal cross functional teams, leadership team, technology partners & vendors, and end users.
Excellent analytical, organizational skills and ability to work in a startup environment and to deliver on tight deadlines using Agile practices.
Healthcare industry experience highly desired.
TYPICAL WORKING CONDITIONS
May be either full time remote/telework or rotate working in the office and remote/telework.
If remote, this job must be U.S. based.
Indoor work; professional office environment
Operating computer OTHER PHYSICAL REQUIREMENTS
Vision
Sense of sound
Sense of touch
The Pediatric Associates Family of Companies an Equal Employment Opportunity/Affirmative Action employers and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law. #J-18808-Ljbffr

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