Data Engineer
Core
Data Engineer supporting client engagements with a 50/50 split between production support and building scalable data pipelines.
Role type
Mid-level Data Engineer (Client Engagement)
Builds
Scalable data pipelines, ETL/ELT workflows, and data solutions on Databricks/AWS
Domain
Data Engineering / Cloud Infrastructure
Deliverable
production ML models | product features
Required skills
Python, SQL, Apache Spark, Client project experience, Root-cause analysis, Pipeline optimization, Documentation
Preferred skills
Databricks, AWS Cloud services (S3, Glue, EMR, Lambda, Redshift), CI/CD pipelines, Workflow orchestration (Airflow)
Technologies
Python, SQL, Apache Spark, Databricks, AWS, Airflow
Responsibilities
Monitor and troubleshoot existing data pipelines and platforms, Design and maintain scalable ETL/ELT workflows, Collaborate with cross-functional and client teams to translate requirements into technical solutions, Perform root-cause analysis and implement fixes with minimal downtime, Optimize data workflows for performance and cost-efficiency, Document processes and architecture, Participate in on-call rotations
Seniority
Mid-level, hands-on IC
