Senior Data Engineer


As Senior Data Engineer you will design, construct, install, test and maintain highly scalable, cloud-based data management systems that integrate with existing processes, systems and data structures. You will develop data pipelines to support analytical functions and expose analytical results through a range of deliverable products.


The candidate will have the opportunity to:

  • Join a small, focused, product-driven company and support a range of data-driven applications and technologies.
  • Guide selection, design and implementation of pipelines, data stores and big data tools that are able to integrate data from disparate, new and existing sources.
  • Be responsible for the proper function of new data processes and their quality assurance.
  • Work with key stakeholders to ensure integrity and proper integration for all sources of data.
  • Provide technical leadership in the area of big data systems development including data ingestion, storage, processing, user access and security.
  • Stay current on big data trends and research new technologies.
  • Design and implement dashboard- and report-based deliverables.
  • Expand accessibility of data to stakeholders.
  • Become part of a seasoned DevOps-driven Product Development team operating in a AWS-based production environment.


The qualified candidate will have:

  • Experience with Hadoop and Spark.
  • At least five years experience in a data warehouse, analytics or data engineering role that leveraged big data tools.
  • Experience with data visualization platforms.
  • At least three years experience with Amazon Web Services.
  • Experience integrating new data processes with existing processes and data structures.
  • Proficiency with SQL, dimensional data modeling and OLAP principles.
  • Experience with NoSQL databases.
  • Experience working on cross-functional teams.
  • Hands-on expertise with application design, software development and automated testing.
  • Proficiency with Java.

Please submit all resumes to