Senior/Staff Data Engineer

Evidation Health
Full time python kubernetes streamsets snowflake amazon-web-services
Human Resources
United States
Hiring from: United States

About this job


Compensation: Equity
Location options: Remote, Paid relocation
Job type: Full-time
Experience level: Mid-Level, Senior, Lead
Role: DevOps
Industry: Big Data, Data Science, Digital Health
Company size: 201–500 people
Company type: VC Funded



Technologies

python, kubernetes, streamsets, snowflake, amazon-web-services



Job description

COME HELP US BUILD THE FUTURE OF HEALTHCARE


We are growing and evolving at an incredible pace. Embracing new technologies and driving positive change is core to our beliefs and success. We emphasize creative problem solving and great communication over specific technical skill sets. If you are looking for cool technical challenges and want to make a difference in the world with your work, this is the position for you!


RESPONSIBILITIES


You will be responsible for the design, development and maintenance of our data architecture which holds petabytes of health data used for analysis and research. Our infrastructure uses Airflow, StreamSet, Snowflake, Apache Spark, and other cutting-edge technologies to securely receive and process hundreds of millions of data points per day. In this role you will also:



  • Design scalable, high performance solutions that continuously handle terabytes of data

  • Define and review Technical Design Documents used to architect our systems

  • Learn and use Terraform and Kubernetes to deploy and manage our infrastructure

  • Work with data scientists to analyze data at scale


QUALIFICATIONS


Minimum Qualifications:



  • Bachelor's degree in Computer Science (or related technical field) 

  • 5+ software engineering experience or equivalent (e.g., CS undergrad + some work)

  • Proficiency with object oriented programming languages (e.g., Python, Ruby, Java)

  • Experience building data pipelines with modern technologies (e.g., Spark, Hadoop, Kafka)

  • Knowledge of SQL databases (e.g., Postgres, Redshift) and cloud data-stores (e.g., S3)

  • Familiarity with Kubernetes and infrastructure as code (e.g., Terraform)


Preferred Qualifications:



  • Master degree in Computer Science

  • Working knowledge of AWS and its services (e.g., Cognito, Kinesis, RDS)

  • Know-how of Sidekiq, Redis, CircleCI, Datadog, NewRelic, or similar tools

  • Experience working with HIPAA regulated data and being compliant with CCPA, GDPR, etc



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