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Senior Data Engineer - Databricks
aKube
- Los Angeles, California, United States
- Los Angeles, California, United States
Über
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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Sprachkenntnisse
- English
Hinweis für Nutzer
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