Sr. Data Platform Engineer

New
R
Real TimeHealthcare Analytics
Remote/Work from anywhere work environment within the United States.Full-TimeSenior
Salary not disclosed
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Job Details

Experience
5+ years
Required Skills
AWSPostgreSQLPythonSQLETLMicrosoft SQL ServerC#TerraformData modelingPySpark

Requirements

  • 5+ years of professional experience in data engineering or software engineering.
  • Advanced proficiency with Python and PySpark for large-scale data processing.
  • Strong SQL development, ETL/ELT design, and query tuning expertise.
  • Hands-on experience with AWS data services (S3, Glue, EMR, Lambda, DDB, DMS, CloudWatch, IAM, VPC).
  • Experience with Terraform or Terragrunt for infrastructure as code.
  • Practical knowledge of SQL Server and PostgreSQL migration patterns.
  • Working knowledge of C# for application and data integrations.
  • Strong grasp of data modeling, architecture, and governance.
  • Bachelor’s degree.
  • Ability to work independently and manage priorities in a remote environment.

Responsibilities

  • Design, build, and optimize batch and streaming data pipelines using PySpark, Python, and SQL.
  • Lead SQL Server to PostgreSQL migration efforts, including schema translation and performance tuning.
  • Implement and maintain Terraform infrastructure for AWS services like S3, Glue, and Redshift.
  • Perform AWS workload optimization and cost analysis.
  • Develop frameworks for data quality, monitoring, and reconciliation.
  • Apply software engineering best practices, including version control and CI/CD.
  • Provide technical mentorship and participate in a rotating on-call schedule.
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