Data Engineer I: Build Analytics & Pipelines

PDS Health; California (MO); On-site; USD 93,000 - 117,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401K

Paid time off

Tuition Reimbursement

Paid time to volunteer

Job summary

PDS Health is seeking an Engineer, Data Management and Analytics to support our data solutions, analysis, and reporting needs. The role applies system analysis techniques to determine hardware, software, or system specifications and partner with data teams to deliver scalable data solutions.

You will build and optimize data pipelines, validate data quality, and ensure reliable data lineage. The position emphasizes collaboration, multi-tasking, and continuous learning in a fast-paced healthcare

Qualifications

• Bachelor's degree in Computer Science, MIS, or related field; 5+ years of experience accepted in lieu.
• 2+ years in database development, OLTP, DW/Dimensional, Cloud Data Platform, pipelines, agile, and source control.
• Proficiency in SQL, Python, and Scala.

Responsibilities

• Collaborate with Data Warehouse Product Owner and BSA to understand business needs and write user stories.
• Work with Sr Engineer and Data Architect to develop data flows.
• Build data pipelines to load data from multiple sources and apply business logic for normalized/denormalized structures.
• Diagnose and fix data pipelines, data quality, and data accessibility issues.
• Manage and optimize data warehouse, data lake, and other data infrastructure.

Skills

SQL

Python

Scala

Data pipelines

Data warehouse design

Education

Bachelor's degree in Computer Science / MIS or related field

Tools

Microsoft SSIS

Cloud Data Platform

Git/Github/Git

Data observability tools

Kafka / streaming ingestion

Job description

PDS Health is seeking an Engineer, Data Management and Analytics to support our data solutions, analysis, and reporting needs. The role applies system analysis techniques to determine hardware, software, or system specifications and partner with data teams to deliver scalable data solutions.

You will build and optimize data pipelines, validate data quality, and ensure reliable data lineage. The position emphasizes collaboration, multi-tasking, and continuous learning in a fast-paced healthcare