Principal Data Engineer
Autodesk
Principal Data Engineer
Job Description
Principal Data Engineer
📋 Job Overview
The Principal Data Engineer at Autodesk leads the design and implementation of scalable data architectures to support advanced analytics and AI initiatives across multiple locations. This role involves collaborating with cross-functional teams to optimize data pipelines and ensure data integrity for enterprise-wide applications. The position emphasizes innovation in data engineering practices to drive business insights and efficiency.
📍 Location: 4 Locations, 4 Locations
📅 Posted: Posted 7 Days Ago
🎯 Key Responsibilities
- Design and develop robust data pipelines for processing large volumes of structured and unstructured data
- Lead data architecture initiatives to support machine learning and analytics workloads
- Collaborate with data scientists and product teams to define data requirements and ensure quality
- Optimize data storage and retrieval systems for performance and scalability
- Mentor junior engineers and contribute to best practices in data governance
✅ Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field
- 8+ years of experience in data engineering or related roles
- Proven track record in building and maintaining large-scale data systems
- Experience with cloud platforms such as AWS, Azure, or GCP
⭐ Preferred Qualifications
- Master's degree in a relevant discipline
- Experience in the AEC (Architecture, Engineering, Construction) industry
- Familiarity with Autodesk products and tools
- Certifications in data engineering or cloud technologies
🛠️ 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 like Apache Spark, Hadoop, or Kafka
- Knowledge of ETL tools and data orchestration (e.g., Airflow, Luigi)
- 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 including remote options
- Professional development and tuition reimbursement
- Paid time off, parental leave, and wellness programs
Locations
- 4 Locations, 4 Locations
Salary
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 like Apache Spark, Hadoop, or Kafkaintermediate
- Knowledge of ETL tools and data orchestration (e.g., Airflow, Luigi)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 related roles (experience)
- Proven track record in building and maintaining large-scale data systems (experience)
- Experience with cloud platforms such as 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 Autodesk products and tools (experience)
- Certifications in data engineering or cloud technologies (experience)
Responsibilities
- Design and develop robust data pipelines for processing large volumes of structured and unstructured data
- Lead data architecture initiatives to support machine learning and analytics workloads
- Collaborate with data scientists and product teams to define data requirements and ensure quality
- Optimize data storage and retrieval systems for performance and scalability
- Mentor junior engineers and contribute to best practices in data governance
Benefits
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) matching and retirement plans
- general: Flexible work arrangements including remote options
- general: Professional development and tuition reimbursement
- general: Paid time off, parental leave, and wellness programs
Tags & Categories
Answer 10 quick questions to check your fit for Principal Data Engineer @ Autodesk.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs
Principal Data Engineer
Autodesk
Principal Data Engineer
Job Description
Principal Data Engineer
📋 Job Overview
The Principal Data Engineer at Autodesk leads the design and implementation of scalable data architectures to support advanced analytics and AI initiatives across multiple locations. This role involves collaborating with cross-functional teams to optimize data pipelines and ensure data integrity for enterprise-wide applications. The position emphasizes innovation in data engineering practices to drive business insights and efficiency.
📍 Location: 4 Locations, 4 Locations
📅 Posted: Posted 7 Days Ago
🎯 Key Responsibilities
- Design and develop robust data pipelines for processing large volumes of structured and unstructured data
- Lead data architecture initiatives to support machine learning and analytics workloads
- Collaborate with data scientists and product teams to define data requirements and ensure quality
- Optimize data storage and retrieval systems for performance and scalability
- Mentor junior engineers and contribute to best practices in data governance
✅ Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field
- 8+ years of experience in data engineering or related roles
- Proven track record in building and maintaining large-scale data systems
- Experience with cloud platforms such as AWS, Azure, or GCP
⭐ Preferred Qualifications
- Master's degree in a relevant discipline
- Experience in the AEC (Architecture, Engineering, Construction) industry
- Familiarity with Autodesk products and tools
- Certifications in data engineering or cloud technologies
🛠️ 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 like Apache Spark, Hadoop, or Kafka
- Knowledge of ETL tools and data orchestration (e.g., Airflow, Luigi)
- 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 including remote options
- Professional development and tuition reimbursement
- Paid time off, parental leave, and wellness programs
Locations
- 4 Locations, 4 Locations
Salary
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 like Apache Spark, Hadoop, or Kafkaintermediate
- Knowledge of ETL tools and data orchestration (e.g., Airflow, Luigi)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 related roles (experience)
- Proven track record in building and maintaining large-scale data systems (experience)
- Experience with cloud platforms such as 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 Autodesk products and tools (experience)
- Certifications in data engineering or cloud technologies (experience)
Responsibilities
- Design and develop robust data pipelines for processing large volumes of structured and unstructured data
- Lead data architecture initiatives to support machine learning and analytics workloads
- Collaborate with data scientists and product teams to define data requirements and ensure quality
- Optimize data storage and retrieval systems for performance and scalability
- Mentor junior engineers and contribute to best practices in data governance
Benefits
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) matching and retirement plans
- general: Flexible work arrangements including remote options
- general: Professional development and tuition reimbursement
- general: Paid time off, parental leave, and wellness programs
Tags & Categories
Answer 10 quick questions to check your fit for Principal Data Engineer @ Autodesk.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs