Senior Data Engineer: Build Scalable Data Pipelines & Assets

Autodesk; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Autodesk is seeking an exceptional analytics/data engineer to craft and maintain enterprise analytics pipelines and processing systems. You will optimize data flows, build scalable data assets, and support ad-hoc reporting to enable data-driven decisions across teams.

You will work with Snowflake/Hive warehouses, Python, SQL, DBT, and BI tooling while collaborating with cross-functional teams to deliver timely data for stakeholders and business growth.

Qualifications

• Bachelor's degree in computer science, information systems, or related discipline.
• 5+ years in Data Engineer role.
• Experience with data transformation, metadata, and data quality workflows.

Responsibilities

• Maintain and develop data pipelines for ETL/ELT to Snowflake or Hive warehouses.
• Design, test, and maintain data pipelines and features per stakeholder requirements.
• Collaborate with data analysts to build scalable datasets and analytics blocks.

Skills

Python

SQL

Snowflake

Airflow

DBT

Git

LLM knowledge

Spark

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake

Snowflake Utilities

Snow SQL

Snow Pipe

Job description

Autodesk is seeking an exceptional analytics/data engineer to craft and maintain enterprise analytics pipelines and processing systems. You will optimize data flows, build scalable data assets, and support ad-hoc reporting to enable data-driven decisions across teams.

You will work with Snowflake/Hive warehouses, Python, SQL, DBT, and BI tooling while collaborating with cross-functional teams to deliver timely data for stakeholders and business growth.