Fulltime :: Data Engineer :: Santa Monica, Burbank, or Glendale, CA (Hybrid, 4 days onsite; 1 day remote)

Hybrid in Glendale, CA, US • Posted 5 hours ago • Updated 5 hours ago
Full Time
No Travel Required
Hybrid
1,20,000 - 1,30,000/yr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Amazon EC2
  • Amazon Web Services
  • Amazon S3
  • PySpark
  • SQL
  • ELT
  • AWS

Summary

Hi

 

Role:  Data Engineer
Location:  Santa Monica, Burbank, or Glendale, CA (Hybrid, 4 days onsite; 1 day remote)
Duration: Full Time



Key Responsibilities
● Assist in building and maintaining ETL/ELT pipelines for acquisition reporting using Databricks, PySpark, SQL, and Unity Catalog under the guidance of senior engineers.
● Support the migration of existing Snowflake SQL scripts and transformations into Databricks UC by updating queries, validating outputs, and helping implement governance best practices.
● Contribute to developing ingestion processes for marketing vendor data, including data parsing, normalization, and basic quality validations.
● Implement and maintain foundational data quality checks, monitoring alerts, and issue triage workflows using Databricks, Snowflake, Airflow, and internal tooling.
● Partner with the Data Reliability Engineering team to assist with SLA monitoring, simple incident troubleshooting, and logging improvements.
● Collaborate with analytics and marketing partners to understand data requirements and ensure accuracy of datasets used in dashboards and reporting.
● Support performance tuning, logging improvements, and general pipeline reliability work.
● Participate in engineering best practices, including code reviews, documentation, and contributing to shared frameworks and tools.

 

Basic Qualifications
● 8+ years of experience as a Data Engineer or similar role.
● Strong proficiency in SQL (analytical SQL, complex joins, window functions).
● Hands-on experience with PySpark and/or Spark SQL in production.
● Good understanding of data modeling, ETL/ELT design patterns, and distributed data processing.
● Experience building pipelines in Databricks, including Delta Lake, Unity Catalog, data governance, and Lakehouse patterns.
● Experience in AWS (S3, IAM, EC2, Glue, Lambda, or related services).
● Experience with Airflow or similar orchestration tools.
● Experience building robust ingestion pipelines and working with semi‑structured formats (JSON, Parquet, CSV).
● Experience with Git/GitHub, CI/CD, and modern DevOps practices.
● Excellent communication skills and ability to work with cross‑functional partners.

 

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: prutx001
  • Position Id: 9137653
  • Posted 5 hours ago
Contact the job poster
SG

Satish Gaddi

Recruiter @ Prudent Technologies and Consulting

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