Software Engineer II

As a Software Engineer II, you will play an essential role in developing and maintaining our data pipelines and workflows. Working under the guidance of senior engineers and the Team Lead, you will help ensure our data solutions are robust, scalable, and meet our clients' needs. This role offers an excellent opportunity to build on your existing skills and grow within a supportive and innovative environment. Your contributions will help us deliver high-quality data solutions that drive better healthcare outcomes. 

You Will: 

• Develop Data Pipelines: Collaborate with the Team to design, develop, and maintain data pipelines and ETL processes using Databricks, Snowflake, SQL, and PySpark. 
  

• Optimize Data Assets: Assist in creating and optimizing data assets to ensure data quality, performance, and reliability. 
  

• Monitor and Troubleshoot: Support the monitoring and troubleshooting of data pipelines to ensure smooth and efficient data distribution. 
  

• Collaborate with Teams: Work with theTeam and cross-functional teams to understand client data requirements and translate them into scalable data solutions. 
  

• Leverage Agile Methodologies: Utilize Agile methodologies and best practices to deliver incremental improvements and respond to changing requirements. 
  

• Communicate Effectively: Maintain clear communication with stakeholders to gather and clarify requirements and provide regular project updates. 
  

• Ensure Data Privacy and Compliance: Uphold a strong commitment to data privacy, security, and regulatory compliance, considering the sensitive nature of healthcare data. 
  

What We're Looking For: 

• Educational Background:  Bachelor’s degree in computer science or a related field. 
  

• Relevant Experience: Minimum of 2 years of experience in data engineering, software engineering, or a related role. 
  

• Technical Proficiency: Experience with Databricks, Snowflake, SQL, and PySpark. 
  

• Healthcare Data Knowledge: Basic understanding of US healthcare data and terminology is a plus. 
  

• Problem-Solving Skills: Ability to work on data engineering projects and solve problems efficiently. 
  

• Big Data and Cloud Technologies: Familiarity with big data technologies, data processing frameworks, and cloud-native architecture. 
  

• Agile Methodologies: Experience with Agile methodologies and project delivery. 
  

• Communication and Collaboration: Strong communication skills with the ability to collaborate effectively with team members and stakeholders. 
  
  

Bonus Points: 

• Advanced Certifications: Relevant certifications in data engineering, cloud computing, or specific technologies such as Databricks, Snowflake, or AWS.