Data Engineer

Computer Aid Pittsburgh , PA 15201

Posted 4 months ago

Data Engineer

Location: Pittsburgh

Duration: 6 mos- RTH

Job Profile Summary

Responsibilities for Data Engineer:

  • 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 SQL and AWS 'big data' technologies.

  • 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.

  • Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.

  • 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.

Qualifications for Data Engineer

  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

  • 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.

  • A successful history of manipulating, processing and extracting value from large disconnected datasets.

  • Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
    1 -3+ years of experience

Physical Demands

  • Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state and local standards

  • Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.

  • Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard and monitor

If you are interested in this position, please apply using the "Apply " option. If you have questions, or would like to speak with a Recruiter directly, send an email to the contact person below and note the job identification number in the subject line.

Luke Wehner

Sr Technical Recruiter

luke.wehner@cai.io

www.cai.io


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Data Engineer

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