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Senior Data Engineer – Data Foundations; Databricks, AWS
Job in
Los Angeles, Los Angeles County, California, 90079, USA
Listed on 2026-06-24
Listing for:
aKube
Full Time
position Listed on 2026-06-24
Job specializations:
-
IT/Tech
Data Engineering, AWS, Data Science Manager, Data Warehousing
Job Description & How to Apply Below
Senior Data Engineer – Data Foundations (Databricks, AWS) - 1606
Los Angeles, United States | Posted on 05/01/2026
Duration: 12 Months
Rate Range: Max is $96/hr on C2C or $89/hr on W2
Work Authorization: GC, USC, All valid EADs except H1B, OPT, CPT
Must Have- Databricks
- Snowflake
- Redshift
- AWS (S3, Glue, Lambda)
- Advanced SQL (performance tuning)
- Python
- Airflow or DBT
- Design and build scalable data pipelines for large datasets
- Develop batch and real-time data processing solutions
- Work with Databricks, Snowflake, and Redshift for data platforms
- Optimize SQL queries and improve data performance
- Build and maintain workflows using Airflow or DBT
- Ensure data quality, reliability, and governance
- Partner with data scientists to deploy ML models
- Collaborate with teams to translate business needs into data solutions
- 7+ years of data engineering experience
- Strong experience with AWS data services
- Hands‑on coding in Python and SQL
- Experience with distributed data systems and big data tools
- CI/CD (Git Hub Actions or Jenkins)
- Experience with ML or statistical modeling
Position Requirements
10+ Years
work experience
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