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Data Engineer

  • Location

    Seattle

  • Sector:

    Software Engineering, Data Science

  • Salary:

    Circa $180,000

  • Contact:

    Jason Rumney

  • Contact email:

    jason@intelletec.com

  • Job ref:

    AAJR494023

  • Startdate:

    ASAP

  • Consultant:

    Jason Rumney

Our Series A client is looking for a Data Engineer to join their growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. 

What You’ll Do:

  • Design, implement, test, deploy, and operate Brightloom's data infrastructure and platform

  • Hands-on development of data pipelines and data infrastructure supporting product development and data scientists

  • Develop data set processes for data modeling, mining, and production

  • Collaborate with other teams to design architectures to collect the right data

  • Recommend ways to improve data reliability, efficiency, and quality

  • Collaborate with Product Management and Engineering colleagues on technical vision and design

Skills:

  • Experience building and optimizing data pipelines, architectures, and data sets

  • Build processes supporting data transformation, data structures, metadata, dependency and workload management

  • Working knowledge of message queuing, stream processing, and highly scalable data stores

  • Experience supporting and working with cross-functional teams in a dynamic environment

  • Experience using the following software/tools:

  • Experience with big data tools: Hadoop, Spark, Kafka
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift, Athena
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc
  • Experience with object-oriented/scripting languages: Python, Java, Scala, etc.

Bonus Points:

  • Solved complex canonicalization and standardization across complex data inputs/sources 

What's on offer:

  • Competitive Salary

  • Equity/Stock Options

  • Health, Vision, Dental insurance coverage

  • 401(k)

  • Life Insurance, Short-Term Disability, Long-Term Disability

  • Pre-tax Commuter, Healthcare and Dependent Care Benefits

  • Pet Insurance 

  • ARC Fertility Program

  • Cell Phone Allowance for applicable positions

  • Regular company outings and events