Senior Data Engineer
Role summary
We are seeking a Senior Data Engineer for a contract position in Glendale, California. The role involves building, optimizing, and maintaining scalable ETL pipelines, working with technologies such as Spark, Airflow, Databricks, Snowflake, SQL, and Python. The candidate will collaborate with data scientists, analysts, and engineers, ensuring data quality, governance, and security compliance. A minimum of 5 years of data engineering experience with hands-on large-scale data pipeline experience is required, along with familiarity in data modeling and ETL orchestration.
We’re Hiring: Sr. Data Engineer – Contract (Glendale, CA)
Location:
Glendale, California, USA (local candidates only – commutable distance)
Employment Type:
Contract, W2 only
Work Authorization:
US Citizen, Green Card, H4-EAD, TN-Visa (
No C2C
)
Key Responsibilities:
- Build, optimize, and maintain
scalable ETL pipelines
.
- Work with
Spark, Airflow, Databricks, Snowflake, SQL, Python
.
- Collaborate with data scientists, analysts, and engineers.
- Ensure
data quality, governance, and security compliance
.
Must-Have Qualifications:
- 5+ years of data engineering experience.
- Hands-on with
large-scale data pipelines
.
- Expertise in
Spark, Airflow, Databricks or Snowflake, SQL, Python
.
- Familiarity with
data modeling and ETL orchestration
.
- Local to
California
(commutable distance).
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