Senior Data Engineer

Beghou ConsultingPrinceton, NJ
Hybrid

About The Position

Beghou Consulting LLC seeks Senior Data Engineers in Princeton, NJ. This role contributes to the firm’s in-house enterprise data platform (features, bug fixes, documentation, and training) with minimal guidance from senior team members. The engineer will develop an advanced understanding of the firm’s in-house enterprise data platform architecture, databases, schema design, and the cloud. They will implement innovative data engineering-based solutions independently within project scope, apply data engineering knowledge to projects, and share this knowledge with the team. The role involves training individuals or smaller groups on data engineering best practices, communicating data engineering architecture knowledge in client selling situations, and translating client needs into action plans. The Senior Data Engineer will produce data engineering solutions, outline the implementation of the solution framework, lead code reviews, and write well-encapsulated DRY (Don’t Repeat Yourself) code. They will engage in implementation and architecture discussions with senior team members to contribute to design ideas and best practices, and prepare presentation materials by synthesizing results and communicating information. The role also includes leading storyboarding presentations, effectively running internal and client team meetings, leading the work of teams, and mentoring junior members by providing guidance, feedback, and encouragement. The position fosters an innovative and inclusive team-oriented work environment and will serve as a Professional Development Manager. Telecommuting is permitted.

Requirements

  • Bachelor’s degree in Computer Science, Mathematics, Engineering, or a related field
  • 5 years of related experience
  • 5 years of experience with Python OR PySpark
  • 5 years of experience with Configuring and managing ETL pipelines for diverse datasets
  • 5 years of experience with Making and presenting technical architecture presentations to both technical and non-technical audiences
  • 2 years of experience with AWS and Azure cloud service offerings
  • 2 years of experience with Databricks platform
  • Authority to work permanently in the U.S.

Responsibilities

  • Contributes to the firm’s in-house enterprise data platform (features, bug fixes, documentation, and training) with minimal guidance from senior team members
  • Documents code and other project components
  • Develops an advanced understanding of the firm’s in-house enterprise data platform architecture, databases, schema design, and the cloud
  • Implements innovative data engineering-based solutions independently within project scope
  • Applies data engineering knowledge to projects and shares with the team
  • Trains individuals or smaller groups data engineering best practices
  • Communicates data engineering architecture knowledge in client selling situations
  • Successfully translates client needs into action plans
  • Produces data engineering solutions and outlines the implementation of the solution framework
  • Leads code reviews and writes well-encapsulated DRY (Don’t Repeat Yourself) code
  • Engages in implementation and architecture discussions with senior team members for the purpose of contributing to design ideas and best practices
  • Prepares presentation materials by synthesizing results and communicating information
  • Leads storyboarding presentations and effectively runs internal and client team meetings
  • Leads the work of teams and mentors junior members of the team by providing guidance, feedback, and encouragement to produce quality work
  • Fosters an innovative and inclusive team-oriented work environment
  • Serves as a Professional Development Manager

Benefits

  • Comprehensive medical, dental, and vision insurance
  • Life & AD&D coverage
  • Disability insurance
  • Lifestyle Wellness Account
  • Generous PTO
  • Company holidays
  • Paid parental & bonding leave
  • Flexible hybrid work policy
  • 401(k) and employer match
  • Tax-free commuter accounts
  • Health accounts
  • Childcare accounts
  • Performance bonuses
  • Monthly phone stipend
  • Employee discount program
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