Senior Data Engineer – Data Foundations (Databricks, AWS) - 1606
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