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Job Description
Structured overview of role & requirementsAbout This Role
Build and maintain batch and streaming data pipelines to deliver accurate, timely data to analytics and product teams.
Design and implement dimensional data models and transformations, collaborating with senior engineers and documenting technical designs.
Apply HIPAA and PII compliance patterns, manage data quality tests and monitoring, and handle on-call responsibilities with runbook improvements.
Minimum Requirements
Bachelor’s Degree in Computer Science or related technical field.
3+ years of data engineering experience.
Experience with distributed systems processing, database design, data warehousing (star/snowflake schemas), and OLTP/OLAP stores including PostgreSQL, MySQL, MongoDB, Redis, Databricks, Snowflake, Redshift.
1+ years experience building data pipelines using Spark, Kafka, Airflow and designing/implementing data warehouse models and ELT/ETL pipelines.
Ideal Candidate Profile
Proficient in building and tuning complex data pipelines and dimensional data models with clear documentation and communication.
Experienced working in healthcare-compliant environments with HIPAA/PII data handling.
Comfortable collaborating with cross-functional, geographically distributed teams and participating in on-call rotations.