Engineer I, Business Analytics and Data Intelligence

PDS Health is seeking an Engineer I to support its data, analysis, and reporting needs. The role develops and maintains data pipelines, data warehouse and lake infrastructure, data validation processes, and automation while collaborating with product owners, analysts, engineers, and data architects.

Responsibilities

• Work closely with Data Warehouse Product Owner and Business System Analyst (BSA) to understand the business needs and collaborate to write user stories
• Collaborate with Sr Engineer and Data Architect to develop data flows
• Build data pipeline flow to load data from various data sources and apply complex business logic to populate normalized and denormalized data structure
• Diagnose and fix data pipelines, data quality, and data accessibility issues
• Manage and optimize data warehouse, data lake, and other data infrastructure components
• Develop and implement data validation rules, monitor systems, and data lineage tracking to ensure data accuracy, consistency, and reliability
• Implement automation to streamline data workflows and reduce manual effort
• Other duties and responsibilities as assigned

Preferred

• Experience integrating Epic (Clarity/Caboodle) data models or related healthcare data
• Experience in Microsoft SSIS
• Experience with Microsoft Fabric
• Experience using Python for data integration and analysis
• Experience with data observability tools and anomaly detection frameworks
• Exposure to MLOps practices and model data pipeline support
• Experience with Kafka or streaming ingestion frameworks
• Experience using AI copilots or automation tools in development workflows
• Experience with Cloud Lakehouse experience for any of the Cloud vendors (AWS, Azure, GCP)
• Experience with Enterprise orchestration tools – like Airflow, Dagster
• Epic data integration
• Microsoft SSIS
• Microsoft Fabric
• Python for data analysis
• Data observability tools
• Anomaly detection frameworks
• MLOps practices
• Kafka
• Streaming ingestion frameworks
• AI copilots
• Cloud Lakehouse
• AWS
• Azure
• GCP
• Enterprise orchestration tools
• Airflow
• Dagster

Benefits

• Medical, dental, and vision insurance
• Paid time off
• Tuition Reimbursement
• 401K
• Paid time to volunteer in your local community

Company

• Business and technology support for dental and medical providers
• Frome, Somerset, GBR
• https://www.pdshealth.com/
• Founded in 1994
• 10001+ employees

Qualifications

• Bachelor's degree in Computer Science, Management Information Systems, or related field of study from an accredited college or university. In lieu of degree, 5+ years of professional experience
• 2+ years of professional experience in database development, Online Transaction Processing (OLTP) and Data Warehouse and Dimensional, Cloud Data Platform, building and maintaining data pipelines, agile methodologies, and source control (Bitbucket/Git/Github), and software development lifecycle
• Proficiency in programming languages – SQL, Python, Scala
• Ability to multi-task effectively without compromising the work quality
• Demonstrated effective interpersonal, verbal and written communication skills
• Detail oriented, organized, customer experience/process focused, problem resolution, and proactive
• Ability to draw conclusions and make independent decisions with limited information
• Ability to respond to common inquiries from customers, staff, regulatory agencies, vendors, and other members of the business community
• Ability to be self-motivated, reliable, work independently, as part of a team, and work effectively with all levels within the organization
• Demonstrated intellectual curiosity to work through ambiguity
• Demonstrated change management in a fast-paced environment under time constraints
• Ability to work with mathematical concepts: probability and statistical inference
• Ability to effectively simplify moderate to complex data and communication information to leadership
• Experience integrating Epic (Clarity/Caboodle) data models or related healthcare data
• Experience in Microsoft SSIS
• Experience with Microsoft Fabric
• Experience using Python for data integration and analysis
• Experience with data observability tools and anomaly detection frameworks
• Exposure to MLOps practices and model data pipeline support
• Experience with Kafka or streaming ingestion frameworks
• Experience using AI copilots or automation tools in development workflows
• Experience with Cloud Lakehouse experience for any of the Cloud vendors (AWS, Azure, GCP)
• Experience with Enterprise orchestration tools – like Airflow, Dagster
• Bachelor’s degree in Computer Science, Management Information Systems, or related field of study from an accredited college or university. In lieu of degree, 5+ years of professional experience.
• 2+ years of professional experience in database development, Online Transaction Processing (OLTP) and Data Warehouse and Dimensional, Cloud Data Platform, building and maintaining data pipelines, agile methodologies, and source control (Bitbucket/Git/Github), and software development lifecycle.

Required skills

• Agile Methodologies, Change Management, Cloud Data Platforms, Data Pipeline Development, Data Warehousing and Dimensional Modeling, Database Development, Git, Bitbucket, and GitHub, Online Transaction Processing (OLTP), Python, SQL, Scala, Software Development Lifecycle, Statistical Inference

Preferred skills

• Experience in Microsoft SSIS, Experience using Python for data integration and analysis, Experience with Kafka or streaming ingestion frameworks, Experience with Microsoft Fabric, Exposure to MLOps practices and model data pipeline support

Experience

• 2+ years