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Senior Data Engineer – Data Foundations; Databricks, AWS

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: aKube
Full Time position
Listed on 2026-06-24
Job specializations:
  • IT/Tech
    Data Engineering, AWS, Data Science Manager, Data Warehousing
Salary/Wage Range or Industry Benchmark: 96 USD Hourly USD 96.00 HOUR
Job Description & How to Apply Below
Position: Senior Data Engineer – Data Foundations (Databricks, AWS) - 1606

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

Los Angeles, United States | Posted on 05/01/2026

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
Nice to Have
  • CI/CD (Git Hub Actions or Jenkins)
  • Experience with ML or statistical modeling
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Position Requirements
10+ Years work experience
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