Location: Los Angeles, CA
Onsite/ Hybrid/ Remote: Remote
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
Responsibilities:
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
Qualifications:
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
Experience building enterprise-scale data platforms
Nice to Have:
Monte Carlo (data observability)
Atlan (data catalog)
CI/CD (GitHub Actions or Jenkins)
Experience with ML or statistical modeling