Senior Data Engineer-Remote

Location: Burlington, Vermont

Type: Full Time

Education: Bachelor's Degree

Experience: 5 - 10 Years

RESPONSIBILITES for Senior Data Engineer at

• Process Structured and Unstructured Data

  • Gathers and processes raw, structured, semi-structured, and unstructured data using batch and real-time data processing frameworks.
  • Understands and enforces appropriate data master management techniques.

•  Data Validation and Quality

  • Ensures data quality and implements tools and frameworks for automating the identification of data quality issues.
  • Work with internal and external data providers on data validation providing feedback and making customized changes to data feeds and data mappings.

•  Planning

  • Understands the challenges that the analytics organization faces in their day-to-day work and partner with them to design viable data solutions.
  • Recommends improvements to processes, technology, and interfaces that improve the effectiveness of the team and reduce technical debt.

•  Product Development

  • Implements and optimizes data solutions in enterprise data warehouses and big data repositories.
  • Installs, maintains, monitors, and supports business intelligence, distributed computation, and big data analytics tools.

•  Application Support

  • Provides ongoing support, monitoring, and maintenance of deployed products.

•  Advice and Guidance

  • Actively works with less experienced data engineers providing technical guidance and oversight.

•  Emerging Technology Monitoring

  • Actively participates in the engineering community, staying up to date on new data technologies and best practices and shares insights with others in the organization.
  • Up to 5% travel required.
  • Other duties as needed or required

Minimum Qualifications

  • Bachelor’s degree in a related discipline and 6 years’ experience in a related field. The right candidate could also have a different combination, such as a master’s degree and 4 years’ experience; a Ph.D. and 1 year of experience; or 10 years’ experience in a related field
  • 6 years of performing analysis and building data processes preferred experience (with Automotive industry highly desired)
  • Must be comfortable navigating large, complex and possibly disparate data sets and transforming and/or joining from those sets using SQL.
  • Must have expertise with writing SQL queries from scratch or altering existing code.
  • Must have working experience using Power BI
  • Must be able to learn and use digital analytics technology.
  • Excellent written and verbal communication skills
  • Self-directed, driven, and enthusiastic

Preferred Qualifications

  • Working experience in building data warehouse ETL tools, Alteryx preferred.
  • Experience with Snowflake is plus
  • Statistical programming language experience (SAS, R, Python, etc.)
  • Experience solving business problems using advanced quantitative methods or statistical models (clustering, regression, ANOVA, etc.) preferred.
  • Strong analytical mind set – masterful with excel and experienced in analyzing performance and sales data to draw conclusions and make recommendations.
  • Desired to have Automotive experience and understanding of Dealer and Consumer Metrics and Analytics
  • Strong teambuilding skills with demonstrated problem-solving abilities
  • Requires physical ability and mental acuity to execute the duties of the position successfully within required timeframes in order to meet business requirements.

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