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Abacus Insights

Senior Data QA Engineer

Posted 20 Days Ago
Remote
Hiring Remotely in USA
Senior level
Remote
Hiring Remotely in USA
Senior level
The Sr. Data QA Engineer designs software testing procedures, analyzes application functionality, identifies bugs, and collaborates with design teams to ensure quality healthcare data applications.
The summary above was generated by AI

Abacus Insights is a mission-driven technology company focused on transforming the healthcare data industry, ultimately creating a more personalized patient experience, improving health outcomes, and lowering the overall cost of healthcare. Abacus Insights provides a flexible, efficient, and secure platform that organizes and exchanges healthcare data from various sources and formats, allowing our customers to uncover differentiated insights. In addition, our employees know that they play an active role in keeping our customers' data safe and are responsible for ensuring that our comprehensive policies and practices are met. 

With our deep expertise in cloud-enabled technologies and knowledge of the healthcare industry, we have built an innovative data integration and management platform that allows healthcare payers access to data that has been historically siloed and inaccessible. Through our platform, these healthcare organizations can ingest and manage all the data they need to transform their business by supporting their analytical, operational, and financial needs.   

Since our founding in 2017, Abacus has built a highly successful SaaS business, raising more than $81 Million from leading VC firms with deep expertise in the healthcare and technology industries. We are solving problems of massive scale and complexity in a sector that is not only ready for disruption. We're growing quickly and would love for you to be a part of it! 


About the Role:  

We are seeking a talented Sr. Data QA Engineer to design testing procedures for our software applications. In this role, will be responsible for analyzing the functionality of applications and designing automated tests to validate their performance. You will also be required to identify bugs, design/develop QA applications, and collaborate with the software design team.

To ensure success as a Sr. Data QA Engineer, you should have advanced programming skills, a keen eye for detail, and excellent project management skills. A skilled QA Analyst can design and write efficient test procedures for every software application.

You will:

  • Work collaboratively with Project Management, Operations, Development and Engineering to deliver all contractually required services. Investigates and responds to questions for assigned product lines.
  • Provides data quality analysis and data mining on client-specific data and general healthcare data.
  • Reviews testing executed by multiple groups
  • Lead the development of data quality strategy
  • Assist the Connector Engineering/Tools team with new business requirements and help them with Functional Specifications.
  • Identify, document and refine standard processes
  • Meeting with the software design team to discuss verification protocols.
  • Identifying software application weaknesses and target areas.
  • Sketching out ideas for automated software test procedures.
  • Reviewing software bug reports and highlighting problem areas.
  • Writing automation scripts and implementing software applications.
  • Designing and installing Automated QA applications and dashboards.
  • Identifying quality issues and creating test reports.
  • Collaborating with the design team to solve application faults.

What we're looking for:

  • Bachelor's degree/Master’s Degree in relevant field such as Health Science, Computer Science, Business, or equivalent experience.
  • 5 years' experience with Data Quality in a Healthcare Tech Provider or a health pan.
  • Strong data manipulation skills.
  • Strong querying skills with SQL and data integration.
  • Strong knowledge of ETL data processing and QA processes to validate ETL process.
  • Strong knowledge of Data Pipelines and data quality processes in data pipelines.
  • Working knowledge of Spark SQL.
  • Strong knowledge of healthcare enrollment, medical claims, and drug claims data required. Additional knowledge of non-traditional data types (health & wellness, workforce productivity, and EMR) preferred.
  • Excellent written and verbal communication skills, with the ability to multitask and prioritize projects to meet scheduled deadlines.
  • Strong interpersonal skills required.
  • Ability to work well independently or in a team environment, and mentor other team members.
  • Advanced programming skills including automation systems and databases.
  • Familiarity with programming script languages including Java and Python.
  • Excellent knowledge of cloud computing, (AWS, S3, EC2,SSM, Athena, DataBricks)
  • Detailed knowledge of application functions, bug fixing, and testing protocols.
  • Very good knowledge of Machine Learning, AI and their implications on real time projects

Equal Opportunity Employer

As a mission-led technology company that is helping to drive better healthcare outcomes, Abacus Insights believes that the best innovation and value we can bring to our customers comes from diverse ideas, thoughts, experiences, and perspectives. We are dedicated to building diverse teams and providing equal employment opportunities to all applicants. Abacus prohibits discrimination and harassment of any type in regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. 

 

Top Skills

Athena
AWS
Databricks
Ec2
ETL
Java
Python
S3
Spark Sql
SQL
Ssm

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