OktaBellevue, WAPrincipal Data Engineer building high-scale product telemetry and behavioral data platforms. Leads architecture, data quality, contracts, and governance while partnering with Product Engineering on instrumentation for insights, retention, and growth metrics. Requires 10+ years data engineering experience.
Experience: 10+ years in a data engineering role, with proven experience in a senior or lead capacity. Experience with Federal government compliance and security requirements is highly desirable.
Product knowledge: Deep expertise in product behavioral data engineering - specifically in telemetry data, including structured data for product launch analysis, feature usage, retention and other critical product lifecycle metrics.
Proven experience working closely with Product Engineering teams to partner on successful instrumentation for data collection.
Technical Expertise: Expert-level experience with SQL, ETL/ELT tools (Airflow, dbt), and MPP databases (Snowflake, Redshift). Extensive hands-on experience with AWS services (S3, Lambda, EMR, ECR, EKS).
Modern Architectures: Deep experience designing and working with lakehouse architectures (Databricks) and modern file formats (Iceberg, Delta).
Principal Data Engineer focused on People/HR data platforms. Design and maintain scalable data pipelines, quality frameworks, and lakehouse architectures to unlock employee lifecycle insights. Requires 10+ years data engineering experience, deep HR data modeling expertise, and proficiency with AWS, Snowflake, Spark, Kafka, dbt, and Airflow.
Designs, develops, and maintains large-scale data platforms and pipelines using Java microservices. Leads technical direction, mentors engineers, and ensures data quality, governance, and observability in cloud-native environments. Requires 10+ years experience with 4+ in data pipelines.
Leads design and implementation of scalable streaming data pipelines using Kafka, Flink, and Spark Streaming. Mentors engineers, ensures data quality and observability, with 10+ years experience including 4+ in real-time systems.
Principal Data Engineer leading platform modernization, infrastructure, and data product development for a high-impact analytics engineering team. Owns architecture, migrations, and cross-functional initiatives using Snowflake, dbt, Dagster, and AWS.
Designs and leads production data pipelines integrating EHR clinical data from Epic Cerner Athenahealth via FHIR HL7 CCDA enforcing healthcare standards for low-latency insights. Builds AWS cloud infrastructure ETL workflows with Python Docker Kubernetes for ML enablement and HIPAA compliance requiring 5+ years healthcare data engineering experience.