Senior Backend Engineer Data
Senior Backend Engineer Data
Posted on :
01-02-2025
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1 Vacancy
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Job Description
This is a remote position.
We are seeking a Senior Backend Engineer (Data) to join our team.
Responsibilities:
- Leverage your outstanding technical expertise to deliver highquality secure and scalable code.
- Design and implement backend systems that are resilient performant and capable of delighting care teams in a healthcare setting.
- Collaborate closely with the data team to build and maintain integrations pipelines and APIs that enable seamless access to critical data.
- Architect solutions using AWS services such as Lambda S3 DynamoDB Step Functions RDS and ECS with a focus on scalability and reliability.
- Support the development and optimization of data workflows using modern tools like dbt Databricks and Snowflake.
- Stay uptodate on modern security design principles identify threats and implement preventive measures across cloud architectures.
- Continuously learn new technologies and thrive in a fastpaced dynamic environment.
- Collaborate effectively with the team fostering a culture of growth and shared success a rising tide lifts all boats.
Requirements
- A degree in Computer Science (BS MS or PhD) or equivalent work experience with 8 years in software engineering.
- 5 years of professional experience as a software engineer primarily working with Python.
- Proven expertise in Amazon Web Services including designing and deploying cloudnative applications using AWS tools like Lambda API Gateway DynamoDB or similar.
It s a Plus if You Have:
- Strongly desired: Experience with frameworks such as Django Django Rest Framework and database systems like MySQL/PostgreSQL
- Strongly desired: Experience in Kubernetes (EKS) or ECS.
- Familiarity with modern data tools such as dbt Databricks Airflow Spark and Snowflake for enabling datadriven solutions.
- Experience with event streaming solutions such as AWS Kinesis or Kafka
- Handson experience with AWS architectures such as microservices or serverless patterns.
- Familiarity with NoSQL document databases such as DynamoDB or MongoDB
- A keen interest in ChatGPT LLMs and other GenAI technologies.
- Experience in healthcare tech including Smart on FHIR CDS and EHR integrations.
- Prior work experience in enterprise SaaS companies.
Benefits
Work Location: Remote
5 days working
A degree in Computer Science (BS, MS, or PhD) or equivalent work experience with 8+ years in software engineering. 5+ years of professional experience as a software engineer, primarily working with Python. Proven expertise in Amazon Web Services, including designing and deploying cloud-native applications using AWS tools like Lambda, API Gateway, DynamoDB, or similar. It s a Plus if You Have: Strongly desired: Experience with frameworks such as Django, Django Rest Framework, and database systems like MySQL/PostgreSQL Strongly desired: Experience in Kubernetes (EKS) or ECS. Familiarity with modern data tools such as dbt, Databricks, Airflow, Spark, and Snowflake for enabling data-driven solutions. Experience with event streaming solutions such as AWS Kinesis or Kafka Hands-on experience with AWS architectures, such as microservices or serverless patterns. Familiarity with NoSQL document databases such as DynamoDB or MongoDB A keen interest in ChatGPT, LLMs, and other GenAI technologies. Experience in healthcare tech, including Smart on FHIR, CDS, and EHR integrations. Prior work experience in enterprise SaaS companies.
Employment Type
Full Time
Key Skills
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