Senior Data Engineer

2 Months ago • All levels • $105,800 PA - $182,600 PA
Data Analysis

Job Description

Data Engineers will be responsible for designing, building, maintaining, monitoring, integrating, and testing scalable data pipelines in production. You will partner with multi-disciplinary teams such as Machine Learning Engineering, Platform Engineering, Data Analysts on coordinating delivery of pipelines for specific business needs. Your work will contribute to strategic initiatives such as optimization of digital conversion metrics and development of Autodesk Assistant, an LLM-driven chatbot intended to answer customer inquiries. Our team culture is built on collaboration, mutual support, and continuous learning. We emphasize an agile, hands-on, and technical approach at all levels of the team. As a group, we want to continuously improve our work as well as our knowledge of trends and techniques relevant to our areas. We encourage personal development and knowledge sharing.
Good To Have:
  • Experience in customer journey analytics and personalization
  • Familiarity with machine learning concepts and collaboration with data science teams
  • Knowledge of real-time data processing and streaming architectures
  • Experience with containerization tools like Docker and orchestration platforms like Kubernetes
Must Have:
  • Design, build, and maintain scalable data pipelines to support continuous data flow and analytics
  • Develop and implement effective data models and schemas to ensure data integrity and accessibility
  • Oversee and optimize database systems (SQL, NoSQL) ensuring high performance and availability
  • Integrate data from various sources, ensuring consistency, quality, and reliability
  • Design and manage Extract, Transform, Load (ETL) processes to move data between systems
  • Implement and enforce data governance policies to ensure data security, privacy, and compliance
  • Work closely with data scientists, analysts, and stakeholders to understand data requirements and deliver solutions
  • Enhance and tune database performance for efficient processing and querying of large datasets
  • Maintain comprehensive documentation for data processes, models, and architecture
  • Partner with internal platform team on the following tasks
  • Provide technical leadership and mentorship for less-experienced members of the team
  • Demonstrate experience working in cross-functional teams to deliver data engineering solutions in production
Perks:
  • Health benefits
  • Financial benefits
  • Time away
  • Everyday wellness
  • Annual cash bonuses
  • Stock grants

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Position Overview:

Data Engineers will be responsible for designing, building, maintaining, monitoring, integrating, and testing scalable data pipelines in production. You will partner with multi-disciplinary teams such as Machine Learning Engineering, Platform Engineering, Data Analysts on coordinating delivery of pipelines for specific business needs. Your work will contribute to strategic initiatives such as optimization of digital conversion metrics and development of Autodesk Assistant, an LLM-driven chatbot intended to answer customer inquiries.

Our team culture is built on collaboration, mutual support, and continuous learning. We emphasize an agile, hands-on, and technical approach at all levels of the team. As a group, we want to continuously improve our work as well as our knowledge of trends and techniques relevant to our areas. We encourage personal development and knowledge sharing.

Key Responsibilities:

  • Data Pipeline Construction: Design, build, and maintain scalable data pipelines to support continuous data flow and analytics
  • Data Modeling: Develop and implement effective data models and schemas to ensure data integrity and accessibility
  • Database Management: Oversee and optimize database systems (SQL, NoSQL) ensuring high performance and availability
  • Data Integration: Integrate data from various sources, ensuring consistency, quality, and reliability
  • ETL Processes: Design and manage Extract, Transform, Load (ETL) processes to move data between systems
  • Data Governance: Implement and enforce data governance policies to ensure data security, privacy, and compliance
  • Collaboration: Work closely with data scientists, analysts, and stakeholders to understand data requirements and deliver solutions
  • Performance Tuning: Enhance and tune database performance for efficient processing and querying of large datasets
  • Documentation: Maintain comprehensive documentation for data processes, models, and architecture
  • Platform Mindset: Partner with internal platform team on the following tasks
  • Provide technical leadership and mentorship for less-experienced members of the team
  • Demonstrate experience working in cross-functional teams to deliver data engineering solutions in production

Minimum Qualifications:

  • Proficiency in programming languages such as Python, Java, or Scala
  • Strong knowledge of SQL and experience with relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra)
  • Knowledge of big data technologies and frameworks (e.g., Kafka, Flink, Parquet, Iceberg, etc)
  • ETL Tools: Skilled in using ETL tools like Apache Airflow
  • Experience with cloud services from AWS, Azure, or Google Cloud, including data-related services like AWS Glue, EMR, Redshift, and S3
  • Experience with data warehousing solutions like Snowflake, Redshift, or BigQuery
  • Understanding of data modeling, data architecture, and ETL processes
  • Experience with version control systems (e.g., Git) and continuous integration/continuous deployment pipelines
  • Bachelor's degree in computer science, Information Technology, or a related field. A master's degree is a plus
  • Relevant certifications in big data technologies, cloud platforms, or database management are a plus

Preferred Skills:

  • Experience in customer journey analytics and personalization
  • Familiarity with machine learning concepts and collaboration with data science teams
  • Knowledge of real-time data processing and streaming architectures
  • Experience with containerization tools like Docker and orchestration platforms like Kubernetes

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Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Benefits

From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $105,800 and $182,600. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Equal Employment Opportunity

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

Diversity & Belonging

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

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