Sr. Data Platform Engineer
R
Real TimeHealth Tech
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 roles
- Advanced skills with Python and PySpark for large-scale data processing
- Strong SQL development experience, including query tuning and ETL/ELT design
- Hands-on experience with AWS data services (S3, Glue, EMR, Lambda, DDB, DMS, CloudWatch, IAM, VPC)
- Experience with Terraform/Terragrunt (or equivalent IaC) for AWS infrastructure automation
- Familiarity with SQL Server and PostgreSQL, including database optimization and migration patterns
- Working knowledge of C# for application/data integrations
- Strong grasp of data modeling, architecture, and governance best practices
- Bachelor’s degree required
Responsibilities
- Design, build, and optimize data pipelines (batch and streaming) using PySpark, Python, and SQL
- Lead and support SQL Server → PostgreSQL migration efforts, including schema translation, performance tuning, and data validation
- Implement and maintain Terraform infrastructure for AWS services (S3, Glue, Lambda, EMR, Redshift, DMS, etc.)
- Conduct performance and cost optimization reviews of AWS workloads, recommending and implementing improvements
- Develop frameworks for data quality, monitoring, and reconciliation
- Collaborate with business stakeholders and other engineers to translate requirements into scalable solutions
- Apply software engineering best practices (version control, CI/CD, testing, code reviews) to data engineering workflows
- Participate in a rotating on-call schedule to provide production support
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