Sr Data Engineer

Location: Pittsburgh, PA

Job Type: Full Time / Permanent

As a Senior Data Engineer, you will play a key role in developing and maintaining our next generation data platform in a fast-paced, agile environment. Partnering closely with our Product, Operations and Engineering teams, you will be responsible for delivering data-driven solutions to complex business problems as well as serve as a trusted advisor to the technical teams.

Responsibilities:

  • Engineer solutions to aggregate and automate large-scale data flows from varying sources
  • Work as a part of a cross-functional team (Product, Data Science and Data Integration ) to build and maintain scalable data solutions
  • Collaborate with product owners in an agile environment to analyze requirements and translate them into functioning software
  • Lead/own the tactical implementation of new product/analytics once scope/strategy is defined
  • Primary escalation contact for bugs, onboarding issues, ad hoc functionality needs
  • Implement key tech debt and enhancements and process improvements to improve overall efficiency of the data team
  • Manage escalations and problem solving solutions regarding critical issues that require immediate attention and remediation
  • Responsible for the monitoring and maintenance of the health of servers and databases for all inbound data and ongoing warehousing
  • This role should be able to serve as internal education and support for Integration Engineers
  • Provide mentoring to and collaboration with other team members and technical leadership to more junior team members

Education & Experience:

  • Bachelors degree in Computer Science, Engineering or related quantitative fields and/or equivalent experience
  • Minimum of 5 years of experience as a Data Engineer or in a related role such as Database Administrator, Data Warehouse Developer or Big Data Engineer which all require a strong record of working with large data sets
  • Real world expertise in data modeling and structure of databases, ETL development and data warehousing plus a demonstrated mastery with one or more data warehouse and processing technologies such as AWS Redshift, Oracle, PostgreSQL, Hadoop, Spark.
  • Hands on experience with cloud computing and Linux-based systems
  • A mastery of using SQL with large data sets and a deep understanding of query performance tuning *Must be able to mentor others in the use of SQL with large data sets
  • Proven track record of successful communication of data infrastructure, data models and data engineering solutions through written communication including the ability to effectively communicate with both business and technical teams
  • Shows curiosity and an ability to learn quickly, especially regarding new technology and processes
  • Approaches all work with a team-based/collaborative orientation
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