Sr Data Engineer

  • Seattle, WA
  • Posted 11 hours ago | Updated 11 hours ago

Overview

Hybrid
$80 - $89
Contract - W2
Contract - 6 Month(s)
No Travel Required

Skills

AWS Redshift
Google BigQuery
Python
Scala
Spark
Airflow
Scrum/Agile
AWS
GraphQL

Job Details

Client location: Seattle, WA

Work location: Hybrid work schedule, 3-4 days/ week onsite in either Seattle, WA, New York, NY or Burbank, CA

Duration: 6+ months

W2 Only Position

JOB DESCRIPTION:

The Core Data & Services for the Data organization is in search of a Senior Software Engineer. As a member of the Core Data team, you will establish the foundational set of data pipelines and datasets which are a vital key to success enabling dozens of engineering and analytical teams to unlock the power of data to drive key business decisions and provide engineering, analytics, and operational teams the critical information necessary to scale the largest streaming service. Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass. The Core Data team is seeking to grow their team of world class Software Engineers that share their charisma and enthusiasm for making a positive impact!

Qualifications:

  • 6+ years of data engineering experience developing large data pipelines.
  • Strong algorithmic problem-solving expertise.
  • Strong fundamental Scala and Python programming skills.
  • Basic understanding of AWS or other cloud provider resources (S3).
  • Strong SQL skills and ability to create queries to analyze complex datasets.
  • Hands-on production environment experience with distributed processing systems such as Spark.
  • Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines.

Preferred Qualifications:

  • Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query).
  • Experience in developing APIs with GraphQL.
  • Deep Understanding of AWS or other cloud providers as well as infrastructure as code.
  • Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices.
  • Familiar with Scrum and Agile methodologies.

Required Education:

  • STEM BA Degree
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