Senior Data Engineer

Jobtailor; Princeton (NJ); On-site; USD 120,000 - 160,000; Full time

Job summary

Jobtailor in New Jersey is seeking a Senior Data Engineer to contribute to an in-house enterprise data platform. You will develop features, fix bugs, document components, and train peers while deepening your knowledge of platform architecture, databases, and cloud technologies.

You will implement innovative data engineering solutions, lead code reviews, and present architecture ideas to technical and non-technical audiences, mentoring junior team members in a dynamic environment.

Qualifications

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

Responsibilities

• Contribute to the firm’s in-house enterprise data platform through features, bug fixes, documentation, and training
• Document code and other project components
• Develop advanced knowledge of platform architecture, databases, schema design, and cloud technologies
• Implement innovative data engineering solutions independently within project scope
• Train individuals or small groups in data engineering best practices
• Communicate data engineering architecture knowledge in client selling situations and translate client needs into action plans
• Produce data engineering solutions and outline implementation frameworks
• Lead code reviews and write well-encapsulated DRY code
• Participate in implementation and architecture discussions with senior team members
• Prepare presentation materials by synthesizing results and communicating information
• Lead storyboarding presentations and run internal and client team meetings
• Lead teams and mentor junior team members
• Foster an innovative and inclusive team-oriented work environment
• Serve as a Professional Development Manager

Skills

Python

PySpark

ETL pipelines

Cloud platforms

Databricks

Data architecture

Code documentation

Team leadership

Education

Bachelor’s degree in Computer Science/Engineering/Math

Tools

Databricks Platform

SQL

Job description

• Contribute to the firm’s in-house enterprise data platform through features, bug fixes, documentation, and training
• Document code and other project components
• Develop advanced knowledge of platform architecture, databases, schema design, and cloud technologies
• Implement innovative data engineering solutions independently within project scope
• Train individuals or small groups in data engineering best practices
• Communicate data engineering architecture knowledge in client selling situations and translate client needs into action plans
• Produce data engineering solutions and outline implementation frameworks
• Lead code reviews and write well-encapsulated DRY code
• Participate in implementation and architecture discussions with senior team members
• Prepare presentation materials by synthesizing results and communicating information
• Lead storyboarding presentations and run internal and client team meetings
• Lead teams and mentor junior team members
• Foster an innovative and inclusive team-oriented work environment
• Serve as a Professional Development Manager

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 configuring and managing ETL pipelines for diverse datasets
• 5 years of experience making and presenting technical architecture presentations to technical and non-technical audiences
• 2 years of experience with AWS and Azure cloud service offerings
• 2 years of experience with the Databricks platform
• Authority to work permanently in the U.S.

Core Competencies

Demonstrates advanced knowledge in data engineering, including expertise in Python, ETL pipeline management, and cloud technologies such as AWS and Azure. Capable of leading teams, mentoring junior members, and effectively communicating technical concepts to diverse audiences.

Highest-signal resume keywords

• Python Programming
• ETL Pipeline Management
• AWS Cloud Services
• Azure Cloud Services
• Databricks Platform

Hard Skills

• Data Engineering Solutions
• Schema Design
• Cloud Technologies
• Code Documentation
• Technical Architecture Presentations

Soft Skills

• Team Leadership
• Mentoring
• Communication
• Collaboration
• Innovative Thinking

Industry Keywords

• Enterprise Data Platform
• Data Engineering Best Practices
• DRY Code
• Project Scope
• Professional Development Manager