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Senior Data Engineer - Databricks - 1613
Job in
Los Angeles, Los Angeles County, California, 90079, USA
Listed on 2026-08-13
Listing for:
aKube Inc
Full Time
position Listed on 2026-08-13
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing
Job Description & How to Apply Below
Location: Los Angeles, CA
Onsite/ Hybrid/ Remote: Hybrid (Once a week onsite)
Duration: 12 Months
Rate Range:
Upto $89/hr on C2C or $82/hr on W2
Work Authorization: All valid EADs except H1B, OPT, CPT
Must Have:
- Databricks and Snowflake for data platforms
- Spark or PySpark with Python for batch processing
- Advanced SQL with query tuning, partitioning, clustering
- Data modeling using star, snowflake, SCD, OBT, normalized models
- Experience with Medallion architecture
- Data ingestion pipelines and large-scale migrations
- Orchestration tools for data workflows
- Data platform debugging and observability
- Design and build large-scale data pipelines for ingestion and transformation
- Develop ETL and ELT frameworks using Databricks and Spark
- Optimize SQL queries and improve data performance
- Build and maintain scalable data models across lakehouse platforms
- Lead data migration efforts across systems and environments
- Implement orchestration for reliable data workflows
- Monitor data pipelines and resolve production issues
- Ensure governance, data quality, and observability across platforms
- 7+ years in data engineering or data platform roles
- Strong hands-on experience with Databricks or Snowflake
- Deep expertise in SQL and distributed data processing
- Experience building scalable data models and architectures
- Proven experience with large-scale data migrations
- Bachelor's degree in Computer Science or related field
- Experience with ML data pipelines and feature engineering
- Exposure to streaming frameworks like Kafka
- Knowledge of cloud platforms like AWS, Azure, or Google Cloud Platform
- Experience with data governance tools and frameworks
Position Requirements
10+ Years
work experience
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