Sr Data Engineer - Data Platform
Core
Design and operate scalable data ingestion pipelines, orchestration workflows, and cloud infrastructure to ensure reliable data flow for analytics, data science, and machine learning teams.
Role type
Senior hands-on data engineer (data platform)
Builds
Cloud-native data platforms, ingestion pipelines, orchestration workflows, and reusable data components (via careerplan.io/jobs/050bda70-8efd-404a-a3fd-d7fca7b3aace-sr-data-engineer-data-platform-at-jobgether)
Domain
Healthcare/Clinical data, Cloud infrastructure, Data engineering
Deliverable
production ML models
Required skills
Python, SQL, Dagster, Airflow, AWS (RDS, Redshift, Lambda, S3), dbt, Airbyte, Terraform, CI/CD, Data quality monitoring
Preferred skills
Event-driven architectures, Streaming/Real-time processing, Infrastructure as Code (Pulumi/CDK), Healthcare data compliance, Startup environment experience
Technologies
PostgreSQL, Redshift, Snowflake, BigQuery, Datadog, Grafana, GitHub Actions, SAM
Responsibilities
Design and operate managed and custom data ingestion pipelines; Build incremental, idempotent pipelines with historical data handling; Own orchestration workflows using Dagster and Python; Replace manual processes with scalable data systems; Establish data quality checks, monitoring, and lineage; Evolve cloud architecture using AWS services; Introduce engineering best practices including testing and CI/CD; Enable Data Science and ML teams with reliable data and training datasets; Participate in code reviews and technical mentorship.
Seniority
Senior, hands-on IC