United States - Colorado - Greenwood Village
Posted a month ago

Spectrum provisioning operations team is looking for a highly quantitative, self-driven, analytical, and strategic Data Engineer. In this role, you will be working in some of the largest and most complex data warehouse environments. You should be passionate about working with huge datasets, passionate to work on real time streaming, search analytics and be someone who loves to bring data together and work on innovative Data Engineering solutions to answer business questions. You should have expertise in creation and management of datasets and the proven ability to translate the data into meaningful insights through collaboration with Data Analysts and System Engineers. In this role, you will have ownership of end-to-end development of data engineering solutions to complex questions and you’ll play an integral role in strategic decision-making.

  • Engineering solutions to aggregate and automate large scale data flows from varying sources.
  • Collaborate with Data Analysts and System Engineers in the organization to construct complex data sources.
  • Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
  • Build, analyze and present actionable data to drive marketing business development and product management decisions.
  • Bachelor’s degree Engineering, Information Technology, Computer Science or related field, and / or related work experience.
  • Minimum of Three (3) years of industry experience in data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets.
  • At least Two (2) years of experience as a Data Engineer or in a similar role.
  • At least One (1) years of Experience with big data technologies like Hadoop, spark, Scala/ python (pyspark), Hive etc.
  • Knowledge of batch and streaming data architectures.
  • Excellent knowledge of Advanced SQL working with large data sets.
  • Solid understanding of data design approaches (and how to best use them).
  • A desire to work in a collaborative, intellectually curious environment.
  • Effective analytical, troubleshooting, and problem-solving skills
  • Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing and operations.
  • Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
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Systems Engineer II - Data Engineer