Senior Engineer, Data Pipeline (20-00045) – CA – Santa Clara

Job Description

looking for an experienced Data Pipeline Engineer. 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. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.


Create and maintain optimal data pipeline architecture,

Assemble large, complex data sets that meet functional / non-functional business requirements.

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Hive and Elasticsearch.

Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

Work with data and analytics experts to strive for greater functionality in our data systems.


Minimum:Bachelor’s Degree

Preferred:Master’s Degree

Major/Discipline:Computer Science/Math

Relevant Work Experience

Minimum:3+ year of Data Engineer

Preferred:5+ years Data Engineer

Skills & Abilities: (Technical or General)

Minimum Requirements:

  • Knowledge of data analysis techniques
  • Experience with big data tools: Hive, Spark, Elasticsearch etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, etc.
  • Strong communications skills
  • Ability to work well as part of a team


  • Working Query knowledge and experience working with NoSQL databases (Hive, Elasticsearch).
  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Experience with big data tools: Hadoop, Spark, etc.
  • Experience with NoSQL databases, including Hive, Elasticsearch.
  • Experience with object-oriented/object function scripting languages: Python, Java, etc.

Source: Job Diva – Job Listing

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