Principal Data Engineer -General application
Autodesk
Principal Data Engineer -General application
Job Description
Principal Data Engineer -General application
📋 Job Overview
The Principal Data Engineer role at Autodesk involves leading the design and implementation of scalable data architectures to support advanced analytics and AI initiatives across the organization. This position focuses on building robust data pipelines, optimizing data storage, and collaborating with cross-functional teams to drive data-driven decision-making. As a senior contributor, you will mentor junior engineers and ensure data solutions align with business objectives in a dynamic, innovative environment.
📍 Location: 2 Locations, 2 Locations
📅 Posted: Posted 30+ Days Ago
🎯 Key Responsibilities
- Design and develop scalable data pipelines and ETL processes
- Optimize data storage and retrieval for high-performance analytics
- Collaborate with data scientists and product teams to define requirements
- Implement data governance and quality assurance measures
- Mentor and guide junior data engineers on best practices
✅ Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field
- 8+ years of experience in data engineering or software engineering
- Proven track record in building and maintaining large-scale data systems
- Experience with cloud platforms (AWS, Azure, or GCP)
⭐ Preferred Qualifications
- Master's degree in a relevant discipline
- Experience in the AEC (Architecture, Engineering, Construction) industry
- Familiarity with machine learning pipelines
- Contributions to open-source data projects
🛠️ Required Skills
- Proficiency in Python, Java, or Scala for data processing
- Expertise in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)
- Experience with big data technologies (Spark, Hadoop, Kafka)
- Knowledge of cloud data services (e.g., AWS S3, Redshift, Azure Data Factory)
- Strong problem-solving and communication skills
- Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines
🎁 Benefits & Perks
- Comprehensive health, dental, and vision insurance
- 401(k) matching and retirement plans
- Flexible work arrangements and remote options
- Professional development and tuition reimbursement
- Generous paid time off and parental leave
- Employee stock purchase plan and wellness programs
Locations
- 2 Locations, 2 Locations
Salary
Estimated Salary Rangemedium confidence
180,000 - 250,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proficiency in Python, Java, or Scala for data processingintermediate
- Expertise in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)intermediate
- Experience with big data technologies (Spark, Hadoop, Kafka)intermediate
- Knowledge of cloud data services (e.g., AWS S3, Redshift, Azure Data Factory)intermediate
- Strong problem-solving and communication skillsintermediate
- Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelinesintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field (experience)
- 8+ years of experience in data engineering or software engineering (experience)
- Proven track record in building and maintaining large-scale data systems (experience)
- Experience with cloud platforms (AWS, Azure, or GCP) (experience)
Preferred Qualifications
- Master's degree in a relevant discipline (experience)
- Experience in the AEC (Architecture, Engineering, Construction) industry (experience)
- Familiarity with machine learning pipelines (experience)
- Contributions to open-source data projects (experience)
Responsibilities
- Design and develop scalable data pipelines and ETL processes
- Optimize data storage and retrieval for high-performance analytics
- Collaborate with data scientists and product teams to define requirements
- Implement data governance and quality assurance measures
- Mentor and guide junior data engineers on best practices
Benefits
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) matching and retirement plans
- general: Flexible work arrangements and remote options
- general: Professional development and tuition reimbursement
- general: Generous paid time off and parental leave
- general: Employee stock purchase plan and wellness programs
Tags & Categories
Answer 10 quick questions to check your fit for Principal Data Engineer -General application @ Autodesk.
10 Questions
~2 Minutes
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Principal Data Engineer -General application
Autodesk
Principal Data Engineer -General application
Job Description
Principal Data Engineer -General application
📋 Job Overview
The Principal Data Engineer role at Autodesk involves leading the design and implementation of scalable data architectures to support advanced analytics and AI initiatives across the organization. This position focuses on building robust data pipelines, optimizing data storage, and collaborating with cross-functional teams to drive data-driven decision-making. As a senior contributor, you will mentor junior engineers and ensure data solutions align with business objectives in a dynamic, innovative environment.
📍 Location: 2 Locations, 2 Locations
📅 Posted: Posted 30+ Days Ago
🎯 Key Responsibilities
- Design and develop scalable data pipelines and ETL processes
- Optimize data storage and retrieval for high-performance analytics
- Collaborate with data scientists and product teams to define requirements
- Implement data governance and quality assurance measures
- Mentor and guide junior data engineers on best practices
✅ Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field
- 8+ years of experience in data engineering or software engineering
- Proven track record in building and maintaining large-scale data systems
- Experience with cloud platforms (AWS, Azure, or GCP)
⭐ Preferred Qualifications
- Master's degree in a relevant discipline
- Experience in the AEC (Architecture, Engineering, Construction) industry
- Familiarity with machine learning pipelines
- Contributions to open-source data projects
🛠️ Required Skills
- Proficiency in Python, Java, or Scala for data processing
- Expertise in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)
- Experience with big data technologies (Spark, Hadoop, Kafka)
- Knowledge of cloud data services (e.g., AWS S3, Redshift, Azure Data Factory)
- Strong problem-solving and communication skills
- Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines
🎁 Benefits & Perks
- Comprehensive health, dental, and vision insurance
- 401(k) matching and retirement plans
- Flexible work arrangements and remote options
- Professional development and tuition reimbursement
- Generous paid time off and parental leave
- Employee stock purchase plan and wellness programs
Locations
- 2 Locations, 2 Locations
Salary
Estimated Salary Rangemedium confidence
180,000 - 250,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proficiency in Python, Java, or Scala for data processingintermediate
- Expertise in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)intermediate
- Experience with big data technologies (Spark, Hadoop, Kafka)intermediate
- Knowledge of cloud data services (e.g., AWS S3, Redshift, Azure Data Factory)intermediate
- Strong problem-solving and communication skillsintermediate
- Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelinesintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field (experience)
- 8+ years of experience in data engineering or software engineering (experience)
- Proven track record in building and maintaining large-scale data systems (experience)
- Experience with cloud platforms (AWS, Azure, or GCP) (experience)
Preferred Qualifications
- Master's degree in a relevant discipline (experience)
- Experience in the AEC (Architecture, Engineering, Construction) industry (experience)
- Familiarity with machine learning pipelines (experience)
- Contributions to open-source data projects (experience)
Responsibilities
- Design and develop scalable data pipelines and ETL processes
- Optimize data storage and retrieval for high-performance analytics
- Collaborate with data scientists and product teams to define requirements
- Implement data governance and quality assurance measures
- Mentor and guide junior data engineers on best practices
Benefits
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) matching and retirement plans
- general: Flexible work arrangements and remote options
- general: Professional development and tuition reimbursement
- general: Generous paid time off and parental leave
- general: Employee stock purchase plan and wellness programs
Tags & Categories
Answer 10 quick questions to check your fit for Principal Data Engineer -General application @ Autodesk.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs