Senior Data Engineer – Data Foundations (Databricks, AWS)

🌍 Remote, USA 🎯 Full-time 🕐 Posted Recently

Job Description

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

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