Data Engineer

ETL, Extract, Transform, Load, SQL, Data Science, Data Warehouse, Caliper, xAPI, Python, AWS, Azure, Redshift, Redshift Spectrum, S3, Glacier, DynamoDB, Parquet, Postgres, Matillion, Looker
Full Time, Contract Corp-To-Corp, Contract Independent, Contract W2, C2H Corp-To-Corp, C2H Independent, C2H W2, Permanent
$135,000
Work from home not available Travel not required

Job Description

Our client builds innovative and compelling digital products that empower teachers and students across the country. They are looking for a Data Engineer to join their team in NY. 

In this role, you’ll be:

  • Building well-tested and optimized ETL data pipelines for both full and delta extraction.
  • Collaborating with data scientists to store, aggregate, and calculate captured users’ work
  • Contributing to leading industry data standards, such as Caliper Analytics or xAPI
  • Improving our deployment and testing automation data pipelines

 Requirements

  • BS/MS in Computer Science, Data Science, or equivalent
  • 2+ years of professional software development or data engineering experience
  • Strong CS and data engineering fundamentals
  • Proven fluency in SQL and a development language such as Python
  • Understanding of ETL/ELT pipelines and Data Warehousing design, tooling, and support
  • Understanding of different data formatting (JSON, CSV, XML) and data storage techniques (3NF, EAV Model, Star Schema, Data Vault)
  • Strong communication skills in writing, conversation, and maybe silly gifs

Other desired skills (not required)

  • Storage: AWS Storage Services (Redshift, Redshift Spectrum, S3, Glacier, DynamoDB), Parquet, Postgres
  • ETL/BI: Matillion, Looker
  • Experience with encryption at rest, including multiple approaches and tradeoffs
Dice Id : 10226510
Position Id : 2132-Raleigh
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