Software Engineer I

Software
Engineer I will be vital in the development and maintenance of our
data pipelines and workflows. Collaborating closely with senior
engineers and reporting to the Connector Factory Team Lead, you will
ensure our data solutions remain robust, scalable, and aligned with
client requirements. This position provides a fantastic opportunity
to enhance your skills and grow in a nurturing and innovative
setting. Your efforts will directly contribute to delivering superior
data solutions that improve healthcare outcomes.

You
Will:

1. Design
   and Develop Data Pipelines: Create, develop, and maintain data pipelines and ETL processes using
   tools such as Databricks, Snowflake, SQL, and PySpark.

2. Optimize
   Data Assets:
   Contribute to the creation and optimization of data assets, ensuring
   high standards of data quality, performance, and reliability.

3. Monitor
   and Troubleshoot: Aid in the monitoring and troubleshooting of data pipelines to
   guarantee efficient and uninterrupted data distribution.

4. Team
   Collaboration: Work with Connector Factory team and cross-functional teams to
   understand client data requirements and convert them into scalable
   data solutions.

5. Apply
   Agile Methodologies: Implement Agile methodologies and best practices to achieve
   incremental improvements and adapt to evolving requirements.

6. Effective
   Communication: Maintain transparent communication with stakeholders to gather and
   clarify requirements, and to provide regular project updates.

7. Ensure
   Data Privacy and Compliance: Maintain a commitment to data privacy, security, and regulatory
   compliance, given the sensitive nature of healthcare data.

What
We’re Looking For:

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

2. Relevant
   Experience: At
   least 1 year of experience in data engineering, software
   engineering, or a related role. Fresh graduates are also welcome to
   apply.

3. Technical
   Proficiency: Proficiency
   in SQL and Python.

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

5. Problem-Solving
   Skills: Strong
   ability to efficiently tackle data engineering projects and resolve
   issues.

6. Agile
   Methodologies: Familiarity
   with Agile methodologies and project delivery practices.

7. Communication
   and Collaboration: Excellent
   communication skills, with the ability to collaborate effectively
   with team members and stakeholders.

Bonus
Points:

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