Engineer I, Business Analytics and Data Intelligence

PDS Health•Irvine, CA

1d•$93,000 - $117,000

About The Position

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.

Requirements

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.

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.