Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Popular mid-level data role in a metro with broad stack and compliance requirements increases candidate competition.
Core data engineering skills transfer across industries, but HIPAA and healthcare compliance increase domain specificity.
Explicit 3+ years plus mandatory Spark, Kafka, SQL, dbt, and HIPAA/compliance requirements raise screening rigor.
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.
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.
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.