QA Data Engineer

QA Data Engineer

Remote

United States

Technology, Data Science & Analytics

Full time

Description

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 are released on time and with minimal errors and/or bugs.

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

• Develop and maintain data quality and accuracy dashboards, and scorecards to track data quality and model performance.
• Develop, maintain, and enhance a comprehensive data quality framework that defines data standards, quality and accuracy expectations, and validation processes.
• Enhance our data quality through rapid testing, feedback and insights.
• Partnering with Engineering & Product to predict data quality issues and production flaws.
• Conceptualize data architecture (visually) and implement practically into logical structures.
• Performing testing of data after ingesting and database loading.
• Manage internal SLAs for data quality and frequency.
• Provide expert support for solving complex problems of data integration across multiple data sets.
• Updating and evolving our data ecosystem to streamline processes for maximum efficiency.

Requirements

• Degree in Computer Science, Information Systems, or equivalent education or work experience
• Experience with AWS or similar (S3, Redshift, RDS, EMR) 3+ Years
• Strong abilities with SQL & Python 3+ Years
• Building test automation suites for test and production environments
• Experience using API’s for data extraction and updating
• Experience with Git and version control

Really Nice to Haves

• 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

Benefits

Compensation

As a venture-backed company, Wider Circle offers competitive compensation including:

• Performance-based incentive bonuses
• Opportunity to grow with the company
• Comprehensive health coverage including medical, dental, and vision
• 401(k) Plan
• Paid Time Off
• Employee Assistance Program
• Health Care FSA
• Dependent Care FSA
• Health Savings Account
• Voluntary Disability Benefits
• Basic Life and AD&D Insurance
• Adoption Assistance Program
• Training and Development
• $90,000-$110,000

And most importantly, an opportunity toLove, Learn, and Growwhile making the world a better place!

Wider Circle is proud to be an equal opportunity employer that does not tolerate discrimination or harassment of any kind. Our commitment to Diversity & Inclusion supports our ability to build diverse teams and develop inclusive work environments. We believe in empowering people and valuing their differences. We are committed to equal employment opportunities without consideration of race, color, religion, ethnicity, citizenship, political activity or affiliation, marital status, age, national origin, ancestry, disability, veteran status, sexual orientation, gender identity, gender expression, sex or gender, or any other basis protected by law.