Data Engineer: Scalable Pipelines & ML Enablement

AUTODESK INC.; United States; On-site; USD 86,000 - 154,000; Full time

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

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.