Secure data sources, design data models, and build distributed components, pipelines, and tools that enable the organization to make analytical, data-driven decisions.
Develop and automate large scale, high-performance data processing systems (batch and streaming).
Build scalable data pipelines leveraging orchestration technologies.
Design our data models for optimal storage and retrieval to meet critical product and business requirements.
Understand and influence logging to support our data flow, architecting logging best practices where needed.
Contribute to shared Data Engineering tooling & standards to improve productivity and quality of output for Data Engineers across the company.
Improve data quality by using & improving internal tools to automatically detect issues.
Design and implement data pipelines and data summarization processes using SQL and apply understanding of relational data structures.
Create a summary data platform supporting our presentation layer that allows clinicians and operators to pinpoint interventions on-demand to patients most in need.
Locate trends in data sets and build algorithms for large and complex data sets.
Analyze and design the best ways to expand our data model to incorporate mission critical data.
Analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions.
Own projects to design and implement best-in-class data processing enabling clean data flow directly to employer’s data model and on to our presentation layer.
Assist with development of systems, strategies, and standards to ensure the quality of data collected, organize and maintain the data properly, and effectively deliver data needed by primary care physicians to manage patient healthcare.
Work with analytics, engineering, and operations to design and implement new analytics products that support improving patient health.
Follow data best practices, including engagement in project status meetings and self-education on new technologies and practices.
Design a new concept within our data model to meet a new operational or analytical need.

Requirements

at least a Bachelor’s degree in Computer Science, Computer Engineering, or closely related field
at least five (5) years of post-baccalaureate, progressive experience in software or application development
at least three (3) years of experience in data engineering deploying and managing data pipelines
managing clinical and claims data pipelines
using Python, Amazon Web Services (AWS) S3, SQS, and SNS, ETL data, GitHub, Scala, Java, Spark, and EventBridge

Benefits

health insurance
dental insurance
life insurance
access to a 401k plan

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data modelingdata processing systemsdata pipelinesSQLdata summarizationalgorithm developmentdata analysisdata quality improvementETLsoftware development

Soft Skills

analytical thinkingproblem-solvingcollaborationcommunicationproject managementself-educationinfluenceproductivity improvementquality assuranceorganizational skills

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Computer Engineering