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Tauriech Tech is seeking a Senior Data Engineer in Glendale, CA. The role focuses on building and maintaining scalable data pipelines using Databricks, Spark, Python, PySpark, and SQL. You will leverage Airflow/AWS MWAA, AWS cloud services, and data governance practices to ensure reliable data flows.
This hybrid position requires 5+ years of experience and WFH authorization in the US. 2–4 days onsite per week in Glendale, CA, with visa sponsorship not available.
Senior Data Engineer Databricks / AWS
Location: Glendale, CA (Hybrid 2 4 days onsite)
Experience: 5+ years
Work Authorization: USC, GC, GC EAD, H-4 EAD, L-2
Job Description
We are looking for an experienced Senior Data Engineer with strong hands‑on experience in Databricks, Apache Spark, Python, PySpark, Scala, SQL, and Apache Airflow to develop and maintain scalable data pipelines.
Required Skills:
Strong Databricks and Apache Spark experience
Python, PySpark, Scala, and advanced SQL
Apache Airflow / AWS MWAA
AWS cloud services
Unity Catalog and data governance
Docker, Kubernetes, and CI/CD
ETL/ELT pipelines and performance optimization
Data quality, monitoring, and troubleshooting
Preferred: Snowflake and Delta Lake experience.
Education: Bachelor's degree in Computer Science or a related field, or equivalent experience.
Note: Candidates must be authorized to work in the US under one of the listed categories. Visa sponsorship is not available. This role requires 2 4 days onsite per week in Glendale, CA.