Data Modellers

1 week ago

Glendale CA, United States aKUBE Full time

City: Glendale, CA Onsite/ Hybrid/ Remote: Hybrid (3 days a week onsite, Friday - Remote)
Rate Range : Up to$85/hr on W2 depending on experience (no C2C or 1099 or sub-contract)
Work Authorization : GC, USC, All valid EADs except OPT, CPT, H1B

5+ years Data Engineering
Databricks
SQL
AWS
Python or Java or Scala

Maintain, update, and expand Core Data platform pipelines.
Build tools for data discovery, lineage, governance, and privacy.
Use Airflow, Spark, Databricks, Delta Lake, Kubernetes, and AWS to build and optimize workflows.
Support platform standards, best practices, and documentation.
Ensure data quality, reliability, and SLA adherence across datasets.
Participate in Agile ceremonies and continuous process improvement.
Work with internal customers to understand needs and prioritize enhancements.
Maintain detailed documentation that supports governance and quality.

5+ years in data engineering with large-scale pipelines.
Strong SQL and one major programming language (Python, Java, or Scala).
Production experience with Spark and Databricks.
Experience ingesting and interacting with API data sources.
Strong AWS knowledge and infrastructure-as-code familiarity.
Understanding of OLTP vs OLAP, data modeling, and data warehousing.
Agile/Scrum experience.
Bachelors degree in a STEM field or equivalent industry experience.

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