Data Engineer with Production Support

100% Remote

Full Time Position

$110K + Benefits

Details of the role:

• DataOps Services and Development, Production support tasks. And experience with Managed Services experience.


• Data Engineering support.


• Someone who can handle to operations and support experience, someone who has worked on the ticketing systems.


• Someone who can handles the offshore team


• Focus on AWS Stack, Understands the CI/CD,


• Python Scala & Java application support experience is needed so some basic Java Development experience.

Key responsibilities:

• Overview of Position
  Build and maintain our Data Solutions platforms and data assets.


• Strengthen and maintain the monitoring and management of the build and deployment processes and infrastructure.

• Collaborate with internal stakeholders to resolve issues, support automation workflow, and provide workflow enhancements.


• Create metrics and reports to measure, maintain and monitor data quality for critical data assets.


• Provide on-going maintenance, support, and enhancement in existing systems and platforms.


• Participate in design and implementation of the data model and related ETL pipeline.


• Work cross-functionally with our product, business, and operation teams.


• Identify process improvement opportunities, openly communicate, and collaborate to enhance team capabilities.

Required Skills: 

• Bachelor's degree (or Master) in Computer Engineering, Computer Science, Data Science or Information System, etc.


• 8+ years of development/engineering experience.


• Expertise in relational and NoSQL data platforms, AWS RDS, AWS Redshift.


• Deep understanding of RDBMS and data warehouse


• Expert in developing complex SQL query with multiple table joins, subqueries, set operations etc.


• Expert in shell scripting.


• Good understanding of Java 1.8+ programming


• Working experience on AWS (S3, Lambda, EMR, EC2, Dynamo DB, Glue, Data pipeline, Redshift, CloudFormation, Athena, AWS SFTP).


• Working experience on Docker (Installation, developing and maintenance of docker tasks)


• Experience with Git and Jira


• Strong debugging and problem-solving skills.


• Strong team player with excellent verbal and written communication skills


• Can communicate complex ideas clearly.


• Basic understanding of healthcare concepts and HIPPA standards.

Good to have skills:

• Experience with HIPAA compliance and the security of PHI data is a plus.


• High-level languages such as Python, and Scala, hands-on experience building data pipeline at scale.


• Can continually and independently research and evaluate emerging technologies.

• Capability of business-critical thinking.


• Passions on working with data.

• Innovative, willing to do things differently.