Mid-level Data Engineer
Core
Design, build, and operationalize complex data solutions for customers to support AI, ML, and BI insights.
Role type
Mid-level Data Engineer (Client-facing)
Builds
Scalable data pipelines, data consumption layers, and data solutions for customer accounts
Domain
Data Engineering, Cloud Infrastructure, AI/ML Support
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data pipeline design, data transformation, data governance, data quality management, system analysis, defect resolution, data movement testing
Preferred skills
Spark, Hadoop, Kafka, pandas, scikit-learn, SQL, OLTP/OLAP/DSS, Databricks
Technologies
AWS, Azure, GCP, Spark, Hadoop, Kafka, Databricks, SQL
Responsibilities
Design and build complex data solutions, guide customers on technical decisions, track progress across multiple accounts, analyze data sources for value, incorporate data governance and security, collaborate to educate end users, resolve moderate complexity incidents, test data movement and transformation code
Seniority
Mid-level, hands-on IC with client interaction
