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 product, operations, and engineering teams, you will be responsible for delivering data-driven solutions to complex business problems and also serve as a trusted technical advisor to the team.


  • Engineering solutions to aggregate and automate large-scale data flows from varying sources
  • Working as part of a cross-functional team (Product, Data Science and Data Integration) to build scalable data solutions
  • Work with product owners in an agile environment to analyze requirements and translate them into functioning software
  • Provide mentoring to and collaboration with other team members
  • Provide technical leadership to more junior team members

Education & Experience:

  • Bachelor’s degree in Computer Science, Engineering, related quantitative fields, or equivalent experience
  • 5-10 years of experience as a Data Engineer or in a related field (i.e., Business Intelligence Engineer, Data Warehouse Developer, Data Scientist, etc.) with a strong track record of working with large datasets
  • Expertise in data modeling, ETL development, and data warehousing plus hands-on experience with different data warehouse and processing technologies such as AWS Redshift, Oracle, PostgreSQL, Hadoop, Spark, etc.
  • Hands-on experience with cloud computing and Linux-based systems
  • Demonstrable skills and experience using SQL with large data sets (e.g., Oracle, SQL Server, Redshift)
  • Proven track record of successful communication of data infrastructure, data models, and data engineering solutions through written communication, including an ability to effectively communicate with both business and technical teams
  • Shows curiosity and an ability to learn quickly, especially new technology and processes
  • Approaches all work with a team-based/collaborative orientation
  • Bonus Points:
    • Master’s degree in Computer Science, Engineering, or related quantitative fields
    • Experience with AWS technologies Redshift, RDS, S3
    • Experience with reporting tools like Tableau, Excel, or other BI packages
    • Familiarity with statistical models and data mining algorithms
    • Experience with ETL tools including Pentaho, Talend, or Informatica
    • Hands-on experience with healthcare or benefits data
    • Expertise in managing non-functional infrastructure requirements such as scalability, reliability, durability, availability, backups, and so on