Data Engineer

AUTODESK INC.

United States

On-site

USD 86,000 - 154,000

Full time

14 days+

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Job summary

Autodesk is seeking a Data Engineer in California to design, build, and maintain scalable data pipelines supporting analytics and ML initiatives. You will partner with ML engineering, platform teams, data analysts, and stakeholders to deliver reliable data solutions for the Autodesk Assistant and other strategic efforts.

The role emphasizes data modeling, ETL, governance, and performance tuning across relational and NoSQL databases, with cloud platforms such as AWS, Azure, and Google Cloud.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • Experience programming in Python, Java, Scala, or similar language.
  • Strong SQL skills with MySQL or PostgreSQL.
  • Experience with NoSQL databases (MongoDB, Cassandra).
  • Understanding of data modeling, data architecture, and ETL processes.
  • Experience with big data tools like Kafka, Flink, Parquet, Iceberg; Airflow.
  • Experience with cloud platforms (AWS, Azure, Google Cloud).
  • Familiarity with cloud data services (AWS Glue, EMR, Redshift, S3, BigQuery).
  • Experience with Snowflake/Redshift/BigQuery data warehousing.
  • Git and CI/CD pipelines.

Responsibilities

  • Design, build, and maintain scalable data pipelines for analytics and ML use cases.
  • Develop data models and schemas ensuring data integrity and usability.
  • Manage relational and NoSQL databases for performance and availability.
  • Integrate data from multiple sources, ensuring quality and reliability.
  • Design and manage ETL processes across systems.
  • Implement data governance for security, privacy, and compliance.
  • Collaborate with data scientists, ML engineers, analysts, and stakeholders.
  • Tune database and pipeline performance for large datasets.
  • Maintain documentation for data processes, models, architecture, operations.
  • Partner with internal platform teams to build reliable data solutions.

Skills

Python
Java
Scala
SQL
MySQL
PostgreSQL
MongoDB
Cassandra
Kafka
Flink
Parquet
Iceberg
Apache Airflow
AWS
Azure
Google Cloud
AWS Glue
EMR
Redshift
S3
BigQuery
Snowflake
Git
CI/CD
Docker
Kubernetes

Education

Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field
Equivalent practical experience

Tools

Apache Airflow
Docker
Kubernetes

Job description

Data Engineer

Experience: Not Available to Not Available years

Location: California, USA

Skills: Python, Java, Scala, SQL, MySQL, PostgreSQL, MongoDB, Cassandra, Kafka, Flink, Parquet, Iceberg, Apache Airflow, AWS, Azure, Google Cloud, AWS Glue, EMR, Redshift, S3, BigQuery, Snowflake, Git, CI/CD, Docker, Kubernetes

Position Overview

We are looking for a Data Engineer to design, build, maintain, monitor, integrate, and test scalable data pipelines in production. In this role, you will partner with Machine Learning Engineering, Platform Engineering, Data Analysts, and other stakeholders to deliver data pipelines that support specific business needs. Your work will contribute to strategic initiatives such as optimizing digital conversion metrics and supporting Autodesk Assistant, an LLM-driven chatbot designed to answer customer inquiries. Our culture is built on collaboration, mutual support, and continuous learning. We encourage hands-on technical problem-solving, knowledge sharing, and ongoing personal development.

Responsibilities
  • Design, build, and maintain scalable data pipelines that support continuous data flow, analytics, and machine learning use cases
  • Develop and implement data models and schemas to ensure data integrity, accessibility, and usability
  • Manage and optimize relational and NoSQL database systems for performance and availability
  • Integrate data from multiple sources while ensuring consistency, quality, and reliability
  • Design and manage ETL processes to move and transform data across systems
  • Implement data governance practices to support data security, privacy, and compliance
  • Collaborate with data scientists, machine learning engineers, analysts, platform engineers, and business stakeholders to understand requirements and deliver effective solutions
  • Tune database and pipeline performance for efficient processing and querying of large datasets
  • Maintain clear documentation for data processes, models, architecture, and operational workflows
  • Partner with internal platform teams to build reliable, scalable, and reusable data solutions
Minimum Qualifications
  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience
  • Experience programming in Python, Java, Scala, or a similar language
  • Strong SQL skills and experience working with relational databases such as MySQL or PostgreSQL
  • Experience with NoSQL databases such as MongoDB, Cassandra, or similar technologies
  • Understanding of data modeling, data architecture, and ETL processes
  • Experience with big data technologies and frameworks such as Kafka, Flink, Parquet, Iceberg, or similar tools
  • Experience using workflow orchestration or ETL tools such as Apache Airflow
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud
  • Familiarity with cloud data services such as AWS Glue, EMR, Redshift, S3, BigQuery, or similar
  • Experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery
  • Experience with version control systems such as Git and CI/CD pipelines
Preferred Qualifications
  • Experience in customer journey analytics, personalization, or digital conversion optimization
  • Familiarity with machine learning concepts and experience collaborating with data science or machine learning teams
  • Knowledge of real-time data processing and streaming architectures
  • Experience with Docker, Kubernetes, or other containerization and orchestration technologies
  • Relevant certifications in big data technologies, cloud platforms, or database management
  • Master’s degree in Computer Science, Data Engineering, Information Technology, or a related field
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 $86,000 and $153,670. 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

Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).

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