Engineer 1 - Business Analytics and Data Intelligence

Now is the time to join PDS Health. You will have opportunities to learn new skills from our team of experienced professionals. If you're ready to take your career to the next level and gain valuable experience, apply today!

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The Engineer, Data Management and Analytics assist with data solutions to support PDS Health data, analysis, and reporting needs. The Engineer applies system analysis techniques and procedures to determine hardware, software or system functional specifications.

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.

Required

• 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

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.

Knowledge/Skills/Abilities

• 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.

Benefits

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

PDS Health is an Equal Opportunity Employer. We celebrate diversity and are united in our mission to create healthier and happier team members.

Compensation Information


$93,000.00-$117,000.00 / Annually

PDS Health is an Equal Opportunity Employer. We celebrate diversity and are united in our mission to create healthier and happier team members.