S serve a unique and important role in daily operations at Wider Circle. Customer data is the bedrock of our business, and Data Engineering is responsible for laying the foundation for our success. Data Engineers work with internal and external stakeholders to gather, validate, clean and move data inside and outside the organization using technology and automation. Our data engineering team is also responsible for quality curation of data to ensure our products. You will be joining a talented, f... more details
Overview:
Data Engineers serve a unique and important role in daily operations at Wider Circle. Customer data is the bedrock of our business, and Data Engineering is responsible for laying the foundation for our success. Data Engineers work with internal and external stakeholders to gather, validate, clean and move data inside and outside the organization using technology and automation. Our data engineering team is also responsible for quality curation of data to ensure our products
You will be joining a talented, fully remote Data Science, Engineering and Analytics team that handles a wide range of requests including customer data processing, weekly report automation, new product development and complex data integration.
Company Overview
At Wider Circle, we connect neighbors for better health. Wider Circle's groundbreaking Connect for Life® program brings neighbors together in-person and online for health, wellness, and social activities that improve mental and physical health. We create webs of community circles by employing local and culturally competent engagement specialists, whose hand-on-hand approach to forming trusted circles is informed by a sophisticated analytics platform. We are on a mission to make the world a better place for older adults and disadvantaged communities.
Responsibilities
Conceptualize data architecture (visually) and implement practically into logical structures.
Manage internal SLAs for data quality and frequency.
As a partner to data science and analytics provide modeled data for analysis and investigation.
Setting up data ingestion schemes of raw data into S3 and Redshift.
Executing automation to deploy data pipelines.
Provide expert support for solving complex problems of data integration across multiple data sets.
Performing testing of data after ingesting and database loading.
Updating and evolving our data ecosystem to streamline processes for maximum efficiency.
Technical Requirements
Experience with AWS or similar (S3, Redshift, RDS, EMR) 3+ Years
Strong abilities with SQL & Python 3+ Years
Experience using API's for data extraction and updating
Experience with Git and version control
Preferred:
Experience with Healthcare Data (Claims, CDAs/HRAs, Eligibility)
Experience using Salesforce (Salesforce API)
Matillion, Mulesoft or related tooling
Airflow, cron or other automation tools
Experience working with Data Packages written in R or Python
Experience partnering with Data Scientists to optimize or productionalize models
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