The Data Engineer is responsible for the support of systems, services, and applications required for the collection, storage, processing, and analysis of all forms of data to enable data-driven decisions and outcomes across the enterprise.

Responsibilities

  • Work collaboratively with other engineers, data scientists, analytics teams, and business product owners in an agile environment.
  • Support the operation of Cloud and On-Premises enterprise data infrastructure and tools.
  • Assist in the design and support of data pipelines to automate the ingestion, processing, and delivery of structured and unstructured batch and real-time streaming data.
  • Assist in the design and support of data APIs and data delivery services.
  • Assist in testing and integration of data related tools, frameworks and applications as directed.

Qualifications

  • Bachelor’s degree in computer science, math, engineering, or relevant technical field
  • Related academic exposure or work experience in data engineering, data analytics, data warehousing, database administration, data integration or business intelligence
  • Related academic exposure or work experience in developing distributed applications
  • Related academic exposure or work experience with Linux operations and development, including basic commands and shell scripting
  • Related academic exposure or work experience with execution of DevOps methodologies and continuous integration/continuous delivery
  • Knowledge of SQL and basic database queries
  • Results oriented with a strong customer focus
  • Ability to work within a team environment
  • Willing to learn and keep pace with the latest technology advances and quickly grasp new technologies to support the environment and contribute to project deliverables


Preferred Qualifications

  • Master’s degree in a technical field (e.g. computer science, math, engineering)
  • Understanding of big data and real time streaming analytics processing architecture and ecosystems
  • Experience with data analysis and data visualization tools
  • Software development experience in relevant programming languages (i.e. Java, Python, Scala, Node.js)
  • Relevant technology or platform certification (AWS, Microsoft, etc.)


Working Conditions

  • Hybrid-Office Environment (Tuesdays, Wednesdays, Thursdays)
  • Occasional Travel <10%


This job description is not a contract of employment nor for any specific job responsibilities. The Company may change, add to, remove, or revoke the terms of this job description at its discretion. Managers may assign other duties and responsibilities as needed. In the event an employee or applicant requests or requires an accommodation to perform job functions, the applicable HR Business Partner should be contacted to evaluate the accommodation request.

Compensation

The Salary for this position generally ranges between $63,000 - $75,000 annually. Please note that the salary range is a good faith estimate for this position and actual starting pay is determined by several factors including qualifications, experience, geography, work location designation (in-office, hybrid, remote) and operational needs. Salary may vary above and below the stated amounts, as permitted by applicable law.

Additionally, this position is typically eligible for an Annual Bonus based on the Company Bonus Plan/Individual Performance and is at the Company’s discretion. 

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

  

This is a hybrid position requiring three days in office per week in one of our hub locations (Philadelphia, PA; Cedar Rapids, IA; Denver, CO).  Relocation assistance will not be provided for this position.