Senior Data Engineer - Databricks - 1613

Los Angeles, CA, US • Posted 4 days ago • Updated 10 minutes ago
Full Time
On-site
USD 89.00 per hour
Fitment

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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

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 4 days ago
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