Applied Machine Learning Engineer
Research Triangle Park, NC
USD 124K-171K (estimate) Senior-level Full Time
Tasks
- Build ETL pipelines
- Build ingest pipelines for structured data time series files images
- Collaborate with engineering operations and IT
- Define data models for operational and analytical workloads
- Define metadata standards for data contextualization
- Design data architecture
- Design schemas for operational data stores
- Diagnose and resolve data quality issues
- Eliminate manual data workflows
- Enrich and contextualize data for analytics and AI
- Implement data monitoring and observability
- Select data lakehouse and database platforms
- Write technical documentation and runbooks
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Apache Iceberg | Azure | Cloud Computing | DBT | Data Lakehouse | Data Modeling | Data Monitoring | Data Quality | Delta Lake | ELT | ETL | GCP | InfluxDB | Mqtt | Observability | PostgreSQL | Prefect | Python | Relational databases | SQL | SQL Server | Testing | Time Series | Time-series databases | TimescaleDB | Unified namespace | Version control
Education
N/A
Roles
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