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

Los Angeles, CA, US • Posted 8 days ago • Updated 1 day ago
Full Time
On-site
USD 96.00 per hour
Fitment

Dice Job Match Score™

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Job Details

Skills

  • LOS
  • Employment Authorization
  • Amazon S3
  • SQL Tuning
  • Real-time
  • Data Processing
  • Databricks
  • Snow Flake Schema
  • Amazon Redshift
  • Workflow
  • Data Quality
  • Collaboration
  • Data Engineering
  • Amazon Web Services
  • Python
  • SQL
  • Big Data
  • Monte Carlo Method
  • Continuous Integration
  • Continuous Delivery
  • GitHub
  • Jenkins
  • Machine Learning (ML)
  • Statistical Models

Summary

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: 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX1d3dc7
  • Position Id: efaf1841c125694e7dadabe92932360a
  • Posted 8 days ago
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