Senior Data Engineer – Data Foundations (Databricks, AWS)
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
Apply tot his job
Apply To this Job
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
Apply tot his job
Apply To this Job