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Job Details

Skills

LOS
Employment Authorization
PySpark
Python
Batch Processing
Query Optimization
Clustering
Data Modeling
SCD
Migration
Debugging
Extract
Transform
Load
ELT
Apache Spark
Orchestration
Workflow
Data Quality
Data Engineering
Databricks
Snow Flake Schema
SQL
Data Processing
Data Migration
Computer Science
Machine Learning (ML)
Streaming
Apache Kafka
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
Data Governance

LOS
Employment Authorization
PySpark
Python
Batch Processing
Query Optimization
Clustering
Data Modeling
SCD
Migration
Debugging
Extract
Transform
Load
ELT
Apache Spark
Orchestration
Workflow
Data Quality
Data Engineering
Databricks
Snow Flake Schema
SQL
Data Processing
Data Migration
Computer Science
Machine Learning (ML)
Streaming
Apache Kafka
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
Data Governance

Summary

Job Description
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

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 Google Cloud Platform
Experience with data governance tools and frameworks

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTX1d3dc7
Position Id: 4635fbee300a9288ee67d269ca51cdab
Posted 30+ days ago

Fitment

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Senior Data Engineer - Databricks - 1613

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