Senior Data Engineer – Data Foundations (Databricks, Snowflake, AWS)

Location: Los Angeles, CA Onsite/ Hybrid/ Remote: Hybrid 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