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Senior Data Engineer – Databricks

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: aKube
Full Time position
Listed on 2026-06-24
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 89 USD Hourly USD 89.00 HOUR
Job Description & How to Apply Below
Position: Senior Data Engineer – Databricks - 1613

Los Angeles, United States | Posted on 05/18/2026

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: GC, USC, 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
  • Experience with Medallion architecture
  • Data ingestion pipelines and large-scale migrations
  • Orchestration tools for data workflows
  • Data platform debugging and observability
Responsibilities
  • 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
Qualifications
  • 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
Nice to Have
  • Experience with ML data pipelines and feature engineering
  • Exposure to streaming frameworks like Kafka
  • Knowledge of cloud platforms like AWS, Azure, or GCP
  • Experience with data governance tools and frameworks
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Position Requirements
10+ Years work experience
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